+publisher:"University of Texas – Austin" +contributor:("Bhat, Chandra R. (Chandrasekhar R.), 1964-")

1. Deng, Jun, active 2013. A novel approach to modeling and predicting crash frequency at rural intersections by crash type and injury severity level.

Degree: MSin Engineering, Civil Engineering, 2013, University of Texas – Austin

URL: http://hdl.handle.net/2152/23634

► Safety at intersections is of significant interest to transportation professionals due to the large number of possible conflicts that occur at those locations. In particular,… (more)

Subjects/Keywords: Crashes in rural intersections; Injury severity level; Crash type; Multivariate count data; Generalized ordered-response; Multinational probit; Multivariate normal distribution

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APA (6^th Edition):

Deng, Jun, a. 2. (2013). A novel approach to modeling and predicting crash frequency at rural intersections by crash type and injury severity level. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/23634

Chicago Manual of Style (16^th Edition):

Deng, Jun, active 2013. “A novel approach to modeling and predicting crash frequency at rural intersections by crash type and injury severity level.” 2013. Masters Thesis, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/23634.

MLA Handbook (7^th Edition):

Deng, Jun, active 2013. “A novel approach to modeling and predicting crash frequency at rural intersections by crash type and injury severity level.” 2013. Web. 19 Jan 2021.

Vancouver:

Deng, Jun a2. A novel approach to modeling and predicting crash frequency at rural intersections by crash type and injury severity level. [Internet] [Masters thesis]. University of Texas – Austin; 2013. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/23634.

Council of Science Editors:

Deng, Jun a2. A novel approach to modeling and predicting crash frequency at rural intersections by crash type and injury severity level. [Masters Thesis]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/23634

2. Hoklas, Megan Marie. An integrated latent construct modeling framework for predicting physical activity engagement and health outcomes.

Degree: MSin Engineering, Civil Engineering, 2014, University of Texas – Austin

URL: http://hdl.handle.net/2152/28257

► The health and well-being of individuals is related to their activity-travel patterns. Individuals who undertake physically active episodes such as walking and bicycling are likely… (more)

Subjects/Keywords: Activity-travel and health; Generalized heterogeneous data model; Attitudes and lifestyle preferences; Physical activity and health outcomes; Activity-travel behavior models

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APA (6^th Edition):

Hoklas, M. M. (2014). An integrated latent construct modeling framework for predicting physical activity engagement and health outcomes. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/28257

Chicago Manual of Style (16^th Edition):

Hoklas, Megan Marie. “An integrated latent construct modeling framework for predicting physical activity engagement and health outcomes.” 2014. Masters Thesis, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/28257.

MLA Handbook (7^th Edition):

Hoklas, Megan Marie. “An integrated latent construct modeling framework for predicting physical activity engagement and health outcomes.” 2014. Web. 19 Jan 2021.

Vancouver:

Hoklas MM. An integrated latent construct modeling framework for predicting physical activity engagement and health outcomes. [Internet] [Masters thesis]. University of Texas – Austin; 2014. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/28257.

Council of Science Editors:

Hoklas MM. An integrated latent construct modeling framework for predicting physical activity engagement and health outcomes. [Masters Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/28257

3. Vyas, Gaurav. A joint vehicle holdings (type and vintage) and primary driver assignment model with an application for California.

Degree: MSin Engineering, Civil Engineering, 2011, University of Texas – Austin

URL: http://hdl.handle.net/2152/15711

► Transportation sector has been a major contributing factor to the overall emissions of most pollutants and thus their impacts on the environment. Among all transportation… (more)

▼ Transportation sector has been a major contributing factor to the overall emissions of most pollutants and thus their impacts on the environment. Among all transportation activities, on-road travel accounts for most part of the Greenhouse gas (GHG) emissions and fuel use. It also has a very un-desirable impact on the transportation network conditions increasing the traffic congestion levels. The main aim of transportation planning agencies is to implement the policy changes that will reduce automobile dependency and increase transit and non-motorized modes usage. However, planning agencies can come up with proactive economic, land-use and transportation policies provided they have a model which is sensitive to all the above mentioned factors to predict the vehicle fleet composition and usage of households. Moreover, the type of vehicle that a household gets (vehicle type choice) and the annual mileage (usage) associated with that vehicle is very closely related to the person in the household who uses that vehicle the most (allocation to primary driver). So, it is no longer possible to view all these decisions separately. Instead, we need to model all these decisions- vehicle type choice, usage, and allocation to primary driver simultaneously at a household level. In this study, we estimate and apply a joint household-level model of the number of vehicles owned by the household, the vehicle type choice of each vehicle, the annual mileage on each vehicle, as well as the individual assigned as the primary driver for each vehicle. A version of the proposed model system currently serves as the engine for a household vehicle composition and evolution simulator, which itself has been embedded within the larger SimAGENT (for Simulator of Activities, Greenhouse emissions, Networks, and Travel) activity-based travel and emissions forecasting system for the Southern California Association of Governments (SCAG) planning region. Advisors/Committee Members: Bhat, Chandra R. (Chandrasekhar R.), 1964- (advisor).

Subjects/Keywords: Car ownership model; Primary driver allocation; MDCEV; Activity based modeling

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APA (6^th Edition):

Vyas, G. (2011). A joint vehicle holdings (type and vintage) and primary driver assignment model with an application for California. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/15711

Chicago Manual of Style (16^th Edition):

Vyas, Gaurav. “A joint vehicle holdings (type and vintage) and primary driver assignment model with an application for California.” 2011. Masters Thesis, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/15711.

MLA Handbook (7^th Edition):

Vyas, Gaurav. “A joint vehicle holdings (type and vintage) and primary driver assignment model with an application for California.” 2011. Web. 19 Jan 2021.

Vancouver:

Vyas G. A joint vehicle holdings (type and vintage) and primary driver assignment model with an application for California. [Internet] [Masters thesis]. University of Texas – Austin; 2011. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/15711.

Council of Science Editors:

Vyas G. A joint vehicle holdings (type and vintage) and primary driver assignment model with an application for California. [Masters Thesis]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/15711

4. Icaza Mascarin, Analissa Icaza. An empirical analysis of internet usage among teenagers and its impact on their activity travel behavior during weekdays.

Degree: MSin Engineering, Civil Engineering, 2011, University of Texas – Austin

URL: http://hdl.handle.net/2152/ETD-UT-2011-08-4332

► This research examines the time used by teenagers, aged 16 to 19 years, the types of activities teenagers do, and the impact of internet usage… (more)

Subjects/Keywords: Teenagers; Activity choice; Internet usage; Non-fixed activities

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APA (6^th Edition):

Icaza Mascarin, A. I. (2011). An empirical analysis of internet usage among teenagers and its impact on their activity travel behavior during weekdays. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-08-4332

Chicago Manual of Style (16^th Edition):

Icaza Mascarin, Analissa Icaza. “An empirical analysis of internet usage among teenagers and its impact on their activity travel behavior during weekdays.” 2011. Masters Thesis, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/ETD-UT-2011-08-4332.

MLA Handbook (7^th Edition):

Icaza Mascarin, Analissa Icaza. “An empirical analysis of internet usage among teenagers and its impact on their activity travel behavior during weekdays.” 2011. Web. 19 Jan 2021.

Vancouver:

Icaza Mascarin AI. An empirical analysis of internet usage among teenagers and its impact on their activity travel behavior during weekdays. [Internet] [Masters thesis]. University of Texas – Austin; 2011. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-08-4332.

Council of Science Editors:

Icaza Mascarin AI. An empirical analysis of internet usage among teenagers and its impact on their activity travel behavior during weekdays. [Masters Thesis]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-08-4332

5. Copperman, Rachel Batya Anna, 1982-. A comprehensive assessment of children's activity-travel patterns with implications for activity-based travel demand modeling.

Degree: PhD, Civil Engineering, 2008, University of Texas – Austin

URL: http://hdl.handle.net/2152/17843

► Children are an often overlooked and understudied population group, whose travel needs are responsible for a significant number of trips made by a household. In… (more)

▼ Children are an often overlooked and understudied population group, whose travel needs are responsible for a significant number of trips made by a household. In addition, children’s travel and activity participation have direct implication for adults’ activity-travel patterns. A better understanding of children’s activity-travel patterns and the linkages between parents and children’s activity-travel needs is necessary for accurate prediction and forecasting of activity-based travel demand modeling systems. In contrast to the need to examine and model children’s activity-travel patterns, existing activity-based research and modeling systems have almost exclusively focused their attention on the activity-travel patterns of adults. Therefore, the goal of this research effort is to contribute to the area of activity-based travel demand analysis by comprehensively examining children’s activity-travel patterns, and by developing a framework for incorporating children within activity-based travel demand modeling systems. This dissertation provides a comprehensive review of previous research on children’s activity engagement and travel by focusing on the dimensions characterizing children’s activity-travel patterns and the factors affecting these dimensions. Further, an exploratory analysis examines the weekday and weekend activity participation characteristics of school-going children. The study focuses on the overall time-use of children in different types of activities, as well as on several dimensions characterizing the context of participation in activities. In addition, the dissertation discusses the treatment of children within current activity-based travel demand modeling systems and conceptualizes an alternative framework for simulating the daily activity-travel patterns of children. An empirical analysis is undertaken of the post-school out-of-home activity-location engagement patterns of children aged 5 to 17 years. Specifically, this research effort utilizes a multinomial logit model to analyze children’s post-school location patterns, and employs a multiple discrete-continuous extreme value (MDCEV) model to study the propensity of children to participate in, and allocate time to, multiple activity episode purpose-location types during the after-school period. Finally, the paper identifies the need and opportunities for further research in the field of children’s travel behavior analysis. Advisors/Committee Members: Bhat, Chandra R. (Chandrasekhar R.), 1964- (advisor).

Subjects/Keywords: Origin and destination traffic surveys; Trip generation – Mathematical models; Children – Time management; Teenagers – Time management; Families – Time management

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APA (6^th Edition):

Copperman, Rachel Batya Anna, 1. (2008). A comprehensive assessment of children's activity-travel patterns with implications for activity-based travel demand modeling. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/17843

Chicago Manual of Style (16^th Edition):

Copperman, Rachel Batya Anna, 1982-. “A comprehensive assessment of children's activity-travel patterns with implications for activity-based travel demand modeling.” 2008. Doctoral Dissertation, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/17843.

MLA Handbook (7^th Edition):

Copperman, Rachel Batya Anna, 1982-. “A comprehensive assessment of children's activity-travel patterns with implications for activity-based travel demand modeling.” 2008. Web. 19 Jan 2021.

Vancouver:

Copperman, Rachel Batya Anna 1. A comprehensive assessment of children's activity-travel patterns with implications for activity-based travel demand modeling. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2008. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/17843.

Council of Science Editors:

Copperman, Rachel Batya Anna 1. A comprehensive assessment of children's activity-travel patterns with implications for activity-based travel demand modeling. [Doctoral Dissertation]. University of Texas – Austin; 2008. Available from: http://hdl.handle.net/2152/17843

6. Born, Kathryn Mary. A count data model with endogenous covariates : formulation and application to roadway crash frequency at intersections.

Degree: MSin Engineering, Transportation Engineering, 2013, University of Texas – Austin

URL: http://hdl.handle.net/2152/23630

► This thesis proposes an estimation approach for count data models with endogenous covariates. The maximum approximate composite marginal likelihood inference approach is used to estimate… (more)

Subjects/Keywords: Count data; Treatment-outcome models; Accident analysis; Flashing light control; Generalized ordered response

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APA (6^th Edition):

Born, K. M. (2013). A count data model with endogenous covariates : formulation and application to roadway crash frequency at intersections. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/23630

Chicago Manual of Style (16^th Edition):

Born, Kathryn Mary. “A count data model with endogenous covariates : formulation and application to roadway crash frequency at intersections.” 2013. Masters Thesis, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/23630.

MLA Handbook (7^th Edition):

Born, Kathryn Mary. “A count data model with endogenous covariates : formulation and application to roadway crash frequency at intersections.” 2013. Web. 19 Jan 2021.

Vancouver:

Born KM. A count data model with endogenous covariates : formulation and application to roadway crash frequency at intersections. [Internet] [Masters thesis]. University of Texas – Austin; 2013. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/23630.

Council of Science Editors:

Born KM. A count data model with endogenous covariates : formulation and application to roadway crash frequency at intersections. [Masters Thesis]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/23630

7. Wang, Tan, active 21st century. Solving dynamic repositioning problem for bicycle sharing systems : model, heuristics, and decomposition.

Degree: MSin Engineering, Civil Engineering, 2014, University of Texas – Austin

URL: http://hdl.handle.net/2152/28258

► Bicycle sharing systems (BSS) have emerged as a powerful stimulus to non- motorized travel, especially for short-distance trips. However, the imbalances in the distribution of… (more)

Subjects/Keywords: Bicycle sharing systems; Dynamic repositioning; Rolling horizon approach; Benders' decomposition

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APA (6^th Edition):

Wang, Tan, a. 2. c. (2014). Solving dynamic repositioning problem for bicycle sharing systems : model, heuristics, and decomposition. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/28258

Chicago Manual of Style (16^th Edition):

Wang, Tan, active 21st century. “Solving dynamic repositioning problem for bicycle sharing systems : model, heuristics, and decomposition.” 2014. Masters Thesis, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/28258.

MLA Handbook (7^th Edition):

Wang, Tan, active 21st century. “Solving dynamic repositioning problem for bicycle sharing systems : model, heuristics, and decomposition.” 2014. Web. 19 Jan 2021.

Vancouver:

Wang, Tan a2c. Solving dynamic repositioning problem for bicycle sharing systems : model, heuristics, and decomposition. [Internet] [Masters thesis]. University of Texas – Austin; 2014. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/28258.

Council of Science Editors:

Wang, Tan a2c. Solving dynamic repositioning problem for bicycle sharing systems : model, heuristics, and decomposition. [Masters Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/28258

8. Pinjari, Abdul Rawoof. Modeling residential self-selection in activity-travel behavior models : integrated models of multidimensional choice processes.

Degree: PhD, Civil Engineering, 2008, University of Texas – Austin

URL: http://hdl.handle.net/2152/17899

► The focus of transportation planning, until the past three decades or so, was to provide adequate transportation infrastructure supply to meet the mobility needs of… (more)

▼ The focus of transportation planning, until the past three decades or so, was to provide adequate transportation infrastructure supply to meet the mobility needs of the population. Over the past three decades, however, in view of increasing suburban sprawl and auto dependence, the focus of transportation planning has expanded to include the objective of sustainable development. Contemporary efforts toward sustainability include, for example, integrated land-use and transportation planning, travel demand management, congestion pricing, and transit and non-motorized travel oriented development. Consequently, in an effort to understand individuals’ behavioral responses to (and to assess the effectiveness of) these policies, the travel demand modeling field evolved along three distinct directions: (a) Activity-based travel demand modeling, (b) Built environment and travel behavior modeling, and (c) Integrated land-use – transportation modeling. The three fields of research, however, have progressed in a rather disjoint fashion. The overarching goal of this dissertation is to contribute toward the research needs that are at the intersection of the three fields of research identified above, and to bring the three research areas together into a unified research stream. This is achieved by the simultaneous consideration of the following three aspects, each of which is of high importance in each direction of research identified above: (1) The activity-based and tour-based approaches to travel behavior analysis, (2) Residential self-selection effects, and (3) Integrated modeling of long-term land-use related choices and medium- and short-term travel-related choices. To this end, a series of integrated models of multidimensional choice processes are formulated to jointly analyze long-term residential location decisions and medium- and short-term activity-travel decisions (such as auto ownership, bicycle ownership, commute mode choice, and daily time-use). The models are estimated and applied using data from the 2000 San Francisco Bay Area Travel Survey to understand and disentangle the multitude of relationships between long-, medium-, and short-term choices. This dissertation also formulates a multiple discrete-continuous nested extreme value model that can accommodate inter-alternative correlations and flexible substitution patterns across mutually exclusive subsets (or nests) of alternatives in multiple discrete-continuous choice models. Advisors/Committee Members: Bhat, Chandra R. (Chandrasekhar R.), 1964- (advisor).

Subjects/Keywords: Transportation demand management; Land use, Urban; Sustainable development

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APA (6^th Edition):

Pinjari, A. R. (2008). Modeling residential self-selection in activity-travel behavior models : integrated models of multidimensional choice processes. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/17899

Chicago Manual of Style (16^th Edition):

Pinjari, Abdul Rawoof. “Modeling residential self-selection in activity-travel behavior models : integrated models of multidimensional choice processes.” 2008. Doctoral Dissertation, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/17899.

MLA Handbook (7^th Edition):

Pinjari, Abdul Rawoof. “Modeling residential self-selection in activity-travel behavior models : integrated models of multidimensional choice processes.” 2008. Web. 19 Jan 2021.

Vancouver:

Pinjari AR. Modeling residential self-selection in activity-travel behavior models : integrated models of multidimensional choice processes. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2008. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/17899.

Council of Science Editors:

Pinjari AR. Modeling residential self-selection in activity-travel behavior models : integrated models of multidimensional choice processes. [Doctoral Dissertation]. University of Texas – Austin; 2008. Available from: http://hdl.handle.net/2152/17899

9. -8747-4679. Simulation evaluation of emerging estimation techniques for multinomial probit models.

Degree: MSin Engineering, Civil engineering, 2016, University of Texas – Austin

URL: http://hdl.handle.net/2152/46114

► A simulation evaluation is presented to compare alternative estimation techniques for a five-alternative multinomial probit (MNP) model with random parameters, including cross-sectional and panel datasets… (more)

Subjects/Keywords: Discrete choice; GHK simulator; Sparse grid integration; Composite marginal likelihood (CML) method; MACML estimation; Bayesian Markov Chain Monte Carlo (MCMC)

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APA (6^th Edition):

-8747-4679. (2016). Simulation evaluation of emerging estimation techniques for multinomial probit models. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/46114

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16^th Edition):

-8747-4679. “Simulation evaluation of emerging estimation techniques for multinomial probit models.” 2016. Masters Thesis, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/46114.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7^th Edition):

-8747-4679. “Simulation evaluation of emerging estimation techniques for multinomial probit models.” 2016. Web. 19 Jan 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-8747-4679. Simulation evaluation of emerging estimation techniques for multinomial probit models. [Internet] [Masters thesis]. University of Texas – Austin; 2016. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/46114.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-8747-4679. Simulation evaluation of emerging estimation techniques for multinomial probit models. [Masters Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/46114

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

University of Texas – Austin

10. -6270-9355. Quantifying the relative contribution of factors to household vehicle miles of travel.

Degree: MSin Engineering, Civil engineering, 2020, University of Texas – Austin

URL: http://dx.doi.org/10.26153/tsw/7423

► Household vehicle miles of travel (VMT) has been exhibiting a steady growth in post-recession years in the United States and is poised to reach record… (more)

Subjects/Keywords: Household travel; Vehicle miles of travel; Residential self-selection; Built environment effects; Spatial dependence effects; Joint econometric model

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APA (6^th Edition):

-6270-9355. (2020). Quantifying the relative contribution of factors to household vehicle miles of travel. (Masters Thesis). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/7423

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16^th Edition):

-6270-9355. “Quantifying the relative contribution of factors to household vehicle miles of travel.” 2020. Masters Thesis, University of Texas – Austin. Accessed January 19, 2021. http://dx.doi.org/10.26153/tsw/7423.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7^th Edition):

-6270-9355. “Quantifying the relative contribution of factors to household vehicle miles of travel.” 2020. Web. 19 Jan 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-6270-9355. Quantifying the relative contribution of factors to household vehicle miles of travel. [Internet] [Masters thesis]. University of Texas – Austin; 2020. [cited 2021 Jan 19]. Available from: http://dx.doi.org/10.26153/tsw/7423.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-6270-9355. Quantifying the relative contribution of factors to household vehicle miles of travel. [Masters Thesis]. University of Texas – Austin; 2020. Available from: http://dx.doi.org/10.26153/tsw/7423

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

University of Texas – Austin

11. Wafa, Zeina. A latent-segmentation based approach to investigating the spatial transferability of activity-travel models.

Degree: MSin Engineering, Civil Engineering, 2014, University of Texas – Austin

URL: http://hdl.handle.net/2152/28098

► Spatial transferability of travel demand models has been an issue of considerable interest, particularly for small and medium sized planning areas that often do not… (more)

▼ Spatial transferability of travel demand models has been an issue of considerable interest, particularly for small and medium sized planning areas that often do not have the resources and staff time to collect large scale travel survey data and estimate model components native to the region. With the advent of more sophisticated microsimulation-based activity-travel demand models, the interest in spatial transferability has surged in the recent past as smaller metropolitan planning organizations seek to take advantage of emerging modeling methods within the limited resources they can marshal. Traditional approaches to identifying geographical contexts that may borrow and transfer models between one another involve the exogenous a priori identification of a set of variables that are used to characterize the similarity between geographic regions. However, this ad hoc procedure presents considerable challenges as it is difficult to identify the most appropriate criteria a priori. To address this issue, this thesis proposes a latent segmentation approach whereby the most appropriate criteria for identifying areas with similar profiles are determined endogenously within the model estimation phase, customized for every model type. The end products are a set of optimal similarity measures that link regions to one another as well as a fully transferred model, segmented to account for heterogeneity in the population. The methodology is demonstrated and its efficacy established through a case study that utilizes the National Household Travel Survey (NHTS) dataset for information on weekday activities unemployed individuals within 9 regions in the states of California and Florida engage in. A multiple discrete continuous extreme value (MDCEV) model is developed that simulates the discrete nature of activity selection as well as the continuous nature of activity participation. The estimated model is then applied onto the Austin–San Marcos MSA, a context withheld from the original estimation in order to assess its performance. The performance of the segmented model was then examined vis-à-vis that of other models that are similar to the local region in only one dimension. It is found that the methodology offers a robust mechanism for identifying latent segments and establishing criteria for transferring models between areas. Advisors/Committee Members: Bhat, Chandra R. (Chandrasekhar R.), 1964- (advisor).

Subjects/Keywords: Spatial transferability; Activity-travel model; Geographic contexts; MDCEV model; Latent segmentation approach; Regional similarity; Endogenous transfer; Exogenous transfer

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APA (6^th Edition):

Wafa, Z. (2014). A latent-segmentation based approach to investigating the spatial transferability of activity-travel models. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/28098

Chicago Manual of Style (16^th Edition):

Wafa, Zeina. “A latent-segmentation based approach to investigating the spatial transferability of activity-travel models.” 2014. Masters Thesis, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/28098.

MLA Handbook (7^th Edition):

Wafa, Zeina. “A latent-segmentation based approach to investigating the spatial transferability of activity-travel models.” 2014. Web. 19 Jan 2021.

Vancouver:

Wafa Z. A latent-segmentation based approach to investigating the spatial transferability of activity-travel models. [Internet] [Masters thesis]. University of Texas – Austin; 2014. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/28098.

Council of Science Editors:

Wafa Z. A latent-segmentation based approach to investigating the spatial transferability of activity-travel models. [Masters Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/28098

University of Texas – Austin

12. Deering, Amanda Marie. A framework for processing connected vehicle data in transportation planning applications.

Degree: MSin Engineering, Civil engineering, 2016, University of Texas – Austin

URL: http://hdl.handle.net/2152/45712

► This thesis presents a framework to process connected vehicle data into a format that is practical for implementation in the transportation planning field. Whereas prior… (more)

Subjects/Keywords: Connected vehicles; Transportation planning; Big data; Hadoop

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APA (6^th Edition):

Deering, A. M. (2016). A framework for processing connected vehicle data in transportation planning applications. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/45712

Chicago Manual of Style (16^th Edition):

Deering, Amanda Marie. “A framework for processing connected vehicle data in transportation planning applications.” 2016. Masters Thesis, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/45712.

MLA Handbook (7^th Edition):

Deering, Amanda Marie. “A framework for processing connected vehicle data in transportation planning applications.” 2016. Web. 19 Jan 2021.

Vancouver:

Deering AM. A framework for processing connected vehicle data in transportation planning applications. [Internet] [Masters thesis]. University of Texas – Austin; 2016. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/45712.

Council of Science Editors:

Deering AM. A framework for processing connected vehicle data in transportation planning applications. [Masters Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/45712

University of Texas – Austin

13. -9364-3333. Accounting for multi-dimensional dependencies among decision-makers within a generalized model framework : an application to understanding shared mobility service usage levels.

Degree: MSin Engineering, Civil engineering, 2020, University of Texas – Austin

URL: http://dx.doi.org/10.26153/tsw/7422

► Activity-travel choices of decision makers are influenced by spatial dependency effects. As decision makers interact and exchange information with, or observe the behaviors of, those… (more)

▼ Activity-travel choices of decision makers are influenced by spatial dependency effects. As decision makers interact and exchange information with, or observe the behaviors of, those in close proximity of themselves, they are likely to shape their behavioral choices accordingly. For this reason, econometric choice models that account for spatial dependency effects have been developed and applied in a number of fields, including transportation. However, spatial dependence models to date have largely defined the strength of association across behavioral units based on spatial or geographic proximity. In the current context of social media platforms and ubiquitous internet and mobile connectivity, the strength of associations among decision makers is no longer solely dependent on spatial proximity. Rather, the strength of associations among decision makers may be based on shared attitudes and preferences as well. In other words, behavioral choice models may benefit from defining dependency effects based on attitudinal constructs in addition to geographical constructs. In this thesis, the frequency of usage of car-sharing and ride-sourcing services, collectively termed as shared mobility services, is modeled using a sequential generalized heterogeneous data model – spatial ordered response probit (GHDM - SORP) framework that incorporates multi-dimensional dependencies among decision-makers. The model system is estimated on the 2014-2015 Puget Sound Regional Travel Study survey sample, with inter-dependence in attitudinal space defined using latent psychometric constructs reflecting inherent attitudes, lifestyle preferences and habits. These latent constructs are based on variables in the data set that represent observed travel and locational choice behavior, as well as responses to attitudinal questions. Model estimation results show that social dependency effects arising from similarities in attitudes and preferences are significant in explaining shared mobility service usage, over and above what is explained by spatial dependency. Ignoring such effects may lead to erroneous estimates of the adoption and usage of future transportation technologies and mobility services. Advisors/Committee Members: Bhat, Chandra R. (Chandrasekhar R.), 1964- (advisor).

Subjects/Keywords: Spatial dependence; Social interactions; Attitudinal proximity; Values and behavior; Shared mobility service usage; Latent constructs

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APA (6^th Edition):

-9364-3333. (2020). Accounting for multi-dimensional dependencies among decision-makers within a generalized model framework : an application to understanding shared mobility service usage levels. (Masters Thesis). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/7422

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Author name may be incomplete

Chicago Manual of Style (16^th Edition):

-9364-3333. “Accounting for multi-dimensional dependencies among decision-makers within a generalized model framework : an application to understanding shared mobility service usage levels.” 2020. Masters Thesis, University of Texas – Austin. Accessed January 19, 2021. http://dx.doi.org/10.26153/tsw/7422.

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Author name may be incomplete

MLA Handbook (7^th Edition):

-9364-3333. “Accounting for multi-dimensional dependencies among decision-makers within a generalized model framework : an application to understanding shared mobility service usage levels.” 2020. Web. 19 Jan 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-9364-3333. Accounting for multi-dimensional dependencies among decision-makers within a generalized model framework : an application to understanding shared mobility service usage levels. [Internet] [Masters thesis]. University of Texas – Austin; 2020. [cited 2021 Jan 19]. Available from: http://dx.doi.org/10.26153/tsw/7422.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-9364-3333. Accounting for multi-dimensional dependencies among decision-makers within a generalized model framework : an application to understanding shared mobility service usage levels. [Masters Thesis]. University of Texas – Austin; 2020. Available from: http://dx.doi.org/10.26153/tsw/7422

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

University of Texas – Austin

14. -5375-9529. A comprehensive mixed logit analysis of crash type conditional on a crash event.

Degree: MSin Engineering, Civil engineering, 2015, University of Texas – Austin

URL: http://hdl.handle.net/2152/34140

► This thesis presents a comprehensive mixed logit model of crash types, where the crash type outcomes are defined by a combination of the nature of… (more)

Subjects/Keywords: Crash modeling; Crash types; Highway safety; Mixed logit model; Unobserved heterogeneity

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APA (6^th Edition):

-5375-9529. (2015). A comprehensive mixed logit analysis of crash type conditional on a crash event. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/34140

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16^th Edition):

-5375-9529. “A comprehensive mixed logit analysis of crash type conditional on a crash event.” 2015. Masters Thesis, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/34140.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7^th Edition):

-5375-9529. “A comprehensive mixed logit analysis of crash type conditional on a crash event.” 2015. Web. 19 Jan 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-5375-9529. A comprehensive mixed logit analysis of crash type conditional on a crash event. [Internet] [Masters thesis]. University of Texas – Austin; 2015. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/34140.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-5375-9529. A comprehensive mixed logit analysis of crash type conditional on a crash event. [Masters Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/34140

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

15. Chaudhary, Ankita. Impact of range anxiety on driver route choices using a panel-integrated choice latent variable model.

Degree: MSin Engineering, Civil Engineering, 2014, University of Texas – Austin

URL: http://hdl.handle.net/2152/28254

► There has been a significant increase in private vehicle ownership in the last decade leading to substantial increase in air pollution, depleting fuel reserves, etc.… (more)

▼ There has been a significant increase in private vehicle ownership in the last decade leading to substantial increase in air pollution, depleting fuel reserves, etc. One of the alternatives known as battery operated electric vehicles (BEVs) has the potential to reduce carbon footprints due to lesser or no emissions and thus the focus on shifting people from gasoline operated vehicles (GVs) to BEVs has increased considerably recently. However, BEVs have a limited ‘range’ and takes considerable time to completely recharge its battery. In addition, charging stations are not as pervasive as gasoline stations. As a result a new fear of getting stranded is observed in BEV drivers, known as range anxiety. Range anxiety has the potential to substantially affect the route choice of a BEV user. It has also been a major cause of lower market shares of BEVs. Range anxiety is a latent feeling which cannot be measured directly. It is not homogenous either and varies among different socio-economic groups. Thus, a better understanding of BEV users’ behavior may shed light on some potential solutions that can then be used to improve their market shares and help in developing new network models which can realistically capture effects of varying EV adoptions. Thus, in this study, we analyze the factors that may impact BEV users’ range anxiety in addition to their route choice behavior using the integrated choice latent variable model (ICLV) proposed by Bhat and Dubey (2014). Our results indicate that an individual’s range anxiety is significantly affected by their age, gender, income, awareness of charging stations, BEV ownership and other category vehicle ownership. Further, it also highlights the importance of including disutility caused by distance while considering network flow models with combined GV and BEV assignment. Finally, a more concentrated effort can be directed towards increasing the awareness of charging station locations in the neighborhood to help reduce the psychological barrier associated with range anxiety. Overcoming this barrier may help increase consumer confidence, resulting in increased BEV adoption and ultimately will lead towards a potentially pollution-free environment. Advisors/Committee Members: Bhat, Chandra R. (Chandrasekhar R.), 1964- (advisor), Duthie, Jennifer Clare (advisor).

Subjects/Keywords: BEV; EV; Electric vehicle; Range anxiety; ICLV; Latent variable; Route choice

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APA (6^th Edition):

Chaudhary, A. (2014). Impact of range anxiety on driver route choices using a panel-integrated choice latent variable model. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/28254

Chicago Manual of Style (16^th Edition):

Chaudhary, Ankita. “Impact of range anxiety on driver route choices using a panel-integrated choice latent variable model.” 2014. Masters Thesis, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/28254.

MLA Handbook (7^th Edition):

Chaudhary, Ankita. “Impact of range anxiety on driver route choices using a panel-integrated choice latent variable model.” 2014. Web. 19 Jan 2021.

Vancouver:

Chaudhary A. Impact of range anxiety on driver route choices using a panel-integrated choice latent variable model. [Internet] [Masters thesis]. University of Texas – Austin; 2014. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/28254.

Council of Science Editors:

Chaudhary A. Impact of range anxiety on driver route choices using a panel-integrated choice latent variable model. [Masters Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/28254

16. Singh, Palvinder. On modeling telecommuting behavior : option, choice and frequency.

Degree: MSin Engineering, Civil Engineering, 2012, University of Texas – Austin

URL: http://hdl.handle.net/2152/ETD-UT-2012-05-5210

► The current study contributes to the already substantial scholarly literature on telecommuting by estimating a joint model of three dimensions- option, choice and frequency of… (more)

Subjects/Keywords: Telecommuting; Work-life balance; Count data; Generalized ordered response model; Multivariate modeling

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APA (6^th Edition):

Singh, P. (2012). On modeling telecommuting behavior : option, choice and frequency. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2012-05-5210

Chicago Manual of Style (16^th Edition):

Singh, Palvinder. “On modeling telecommuting behavior : option, choice and frequency.” 2012. Masters Thesis, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/ETD-UT-2012-05-5210.

MLA Handbook (7^th Edition):

Singh, Palvinder. “On modeling telecommuting behavior : option, choice and frequency.” 2012. Web. 19 Jan 2021.

Vancouver:

Singh P. On modeling telecommuting behavior : option, choice and frequency. [Internet] [Masters thesis]. University of Texas – Austin; 2012. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/ETD-UT-2012-05-5210.

Council of Science Editors:

Singh P. On modeling telecommuting behavior : option, choice and frequency. [Masters Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/ETD-UT-2012-05-5210

17. Owens, Travis Daniel. Estimating rail cost for mutlimodal corridor planning.

Degree: MSin Engineering, Civil Engineering, 2012, University of Texas – Austin

URL: http://hdl.handle.net/2152/19694

► This study evaluates specific variables that influence rail freight operating costs for line haul movements. This paper gives planners a mechanistic method to determine rail… (more)

Subjects/Keywords: Rail costs

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APA (6^th Edition):

Owens, T. D. (2012). Estimating rail cost for mutlimodal corridor planning. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/19694

Chicago Manual of Style (16^th Edition):

Owens, Travis Daniel. “Estimating rail cost for mutlimodal corridor planning.” 2012. Masters Thesis, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/19694.

MLA Handbook (7^th Edition):

Owens, Travis Daniel. “Estimating rail cost for mutlimodal corridor planning.” 2012. Web. 19 Jan 2021.

Vancouver:

Owens TD. Estimating rail cost for mutlimodal corridor planning. [Internet] [Masters thesis]. University of Texas – Austin; 2012. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/19694.

Council of Science Editors:

Owens TD. Estimating rail cost for mutlimodal corridor planning. [Masters Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/19694

18. Seraj, Saamiya. Parental attitudes toward children walking and bicycling to school : a multivariate ordered response analysis.

Degree: MSin Engineering, Civil Engineering, 2011, University of Texas – Austin

URL: http://hdl.handle.net/2152/ETD-UT-2011-12-4536

► Recent research suggests that, besides traditional socio-demographic and built environment attributes, the attitudes and perceptions of parents toward walking and bicycling play a crucial role… (more)

Subjects/Keywords: Parental attitudes; Perceptions and values; Children’s school mode choice; Travel behaviour; Intra-household interactions; Multivariate ordered response; Composite marginal likelihood

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APA (6^th Edition):

Seraj, S. (2011). Parental attitudes toward children walking and bicycling to school : a multivariate ordered response analysis. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-12-4536

Chicago Manual of Style (16^th Edition):

Seraj, Saamiya. “Parental attitudes toward children walking and bicycling to school : a multivariate ordered response analysis.” 2011. Masters Thesis, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/ETD-UT-2011-12-4536.

MLA Handbook (7^th Edition):

Seraj, Saamiya. “Parental attitudes toward children walking and bicycling to school : a multivariate ordered response analysis.” 2011. Web. 19 Jan 2021.

Vancouver:

Seraj S. Parental attitudes toward children walking and bicycling to school : a multivariate ordered response analysis. [Internet] [Masters thesis]. University of Texas – Austin; 2011. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-12-4536.

Council of Science Editors:

Seraj S. Parental attitudes toward children walking and bicycling to school : a multivariate ordered response analysis. [Masters Thesis]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-12-4536

19. Bernardo, Christina. An empirical investigation into the time-use and activity patterns of dual-earner couples with and without young children.

Degree: MSin Engineering, Civil Engineering, 2012, University of Texas – Austin

URL: http://hdl.handle.net/2152/20007

► This thesis examines the time-use patterns of adults in dual-earner households with and without children as a function of several individual and household socio-demographics and… (more)

Subjects/Keywords: Activity-based modeling; Time-use; Dual-earner households; Social exclusion; Time poverty; Work-family balance; Multiple-discrete choices; Transportation

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APA (6^th Edition):

Bernardo, C. (2012). An empirical investigation into the time-use and activity patterns of dual-earner couples with and without young children. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/20007

Chicago Manual of Style (16^th Edition):

Bernardo, Christina. “An empirical investigation into the time-use and activity patterns of dual-earner couples with and without young children.” 2012. Masters Thesis, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/20007.

MLA Handbook (7^th Edition):

Bernardo, Christina. “An empirical investigation into the time-use and activity patterns of dual-earner couples with and without young children.” 2012. Web. 19 Jan 2021.

Vancouver:

Bernardo C. An empirical investigation into the time-use and activity patterns of dual-earner couples with and without young children. [Internet] [Masters thesis]. University of Texas – Austin; 2012. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/20007.

Council of Science Editors:

Bernardo C. An empirical investigation into the time-use and activity patterns of dual-earner couples with and without young children. [Masters Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/20007

20. Narayanamoorthy, Sriram. On accommodating spatial dependence in bicycle and pedestrian injury counts by severity level.

Degree: MSin Engineering, Civil Engineering, 2012, University of Texas – Austin

URL: http://hdl.handle.net/2152/19698

► This thesis proposes a new spatial multivariate count model to jointly analyze the traffic crash-related counts of pedestrians and bicyclists by injury severity. The modeling… (more)

Subjects/Keywords: Multivariate count data; Spatial econometrics; Crash analysis; Composite marginal likelihood

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APA (6^th Edition):

Narayanamoorthy, S. (2012). On accommodating spatial dependence in bicycle and pedestrian injury counts by severity level. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/19698

Chicago Manual of Style (16^th Edition):

Narayanamoorthy, Sriram. “On accommodating spatial dependence in bicycle and pedestrian injury counts by severity level.” 2012. Masters Thesis, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/19698.

MLA Handbook (7^th Edition):

Narayanamoorthy, Sriram. “On accommodating spatial dependence in bicycle and pedestrian injury counts by severity level.” 2012. Web. 19 Jan 2021.

Vancouver:

Narayanamoorthy S. On accommodating spatial dependence in bicycle and pedestrian injury counts by severity level. [Internet] [Masters thesis]. University of Texas – Austin; 2012. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/19698.

Council of Science Editors:

Narayanamoorthy S. On accommodating spatial dependence in bicycle and pedestrian injury counts by severity level. [Masters Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/19698

University of Texas – Austin

21. Kumar, Vivek M.S. in Engineering. The impacts of an incentive-based intervention on peak period traffic: experience from the Netherlands.

Degree: MSin Engineering, Civil engineering, 2015, University of Texas – Austin

URL: http://hdl.handle.net/2152/34068

► Incentive-based travel demand management strategies are gaining increasing attention as they are generally considered more acceptable by the traveling public and policymakers. There is limited… (more)

Subjects/Keywords: Travel demand management; Voluntary travel behavior change; Incentive-based scheme; Mixed logit model

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APA (6^th Edition):

Kumar, V. M. S. i. E. (2015). The impacts of an incentive-based intervention on peak period traffic: experience from the Netherlands. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/34068

Chicago Manual of Style (16^th Edition):

Kumar, Vivek M S in Engineering. “The impacts of an incentive-based intervention on peak period traffic: experience from the Netherlands.” 2015. Masters Thesis, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/34068.

MLA Handbook (7^th Edition):

Kumar, Vivek M S in Engineering. “The impacts of an incentive-based intervention on peak period traffic: experience from the Netherlands.” 2015. Web. 19 Jan 2021.

Vancouver:

Kumar VMSiE. The impacts of an incentive-based intervention on peak period traffic: experience from the Netherlands. [Internet] [Masters thesis]. University of Texas – Austin; 2015. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/34068.

Council of Science Editors:

Kumar VMSiE. The impacts of an incentive-based intervention on peak period traffic: experience from the Netherlands. [Masters Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/34068

University of Texas – Austin

22. -9323-832X. Is the future of urban mobility shared? : modeling ride-hailing adoption and preferences for ownership and sharing of autonomous vehicles.

Degree: PhD, Civil Engineering, 2018, University of Texas – Austin

URL: http://hdl.handle.net/2152/69125

► Society is experiencing the initial stages of a technological revolution that promises to disrupt urban transportation as known today and induce behavioral and social changes.… (more)

▼ Society is experiencing the initial stages of a technological revolution that promises to disrupt urban transportation as known today and induce behavioral and social changes. The main factors guiding the transformation of urban mobility are the growth of Information and Communication Technology (ICT)-enabled transportation services and the development of autonomous vehicle (AV) technologies. While the use of ICTs and vehicular automation are expected to provide direct road capacity improvements due to the real-time provision of traffic information, crash reductions, and platooning capabilities, these gains may be offset by latent demand effects. That is, the increase in level of service may actually result in the generation of more trips and escalation of vehicle miles traveled. In this sense, proactive planning and policy guided towards promoting the use of shared vehicles and pooled rides are important to minimize possible negative externalities of automation. The current dissertation provides initial guidance to such planning by examining individuals’ preferences toward the adoption of current and future mobility services and technologies. A research framework containing four independent but related analysis components is developed to allow a comprehensive investigation of travelers’ characteristics and behaviors associated with ride-hailing use and preferences regarding AVs. Empirical analyses are conducted using advanced econometric techniques applied to different types of data from three different cities. The results of the empirical analyses are compared and implications to transportation planning and policy are discussed. The results from the analyses undertaken in the dissertation show that, from a behavioral perspective, a service-based transportation future where people predominantly travel using shared vehicles and pooled rides instead of their own vehicles is on its way but still distant. A complex combination of actions is required to promote the use of shared services both today and in an AV future. Among these actions, we identify the need for campaigns to (a) increase technology awareness among older individuals and individuals from lower income households, and (b) reduce privacy-sensitivity among non-Hispanic Whites and millennials. Such efforts should also be complemented by a decrease in service fares and urban densification. The results also suggest the need to promote policies and integrated multi-modal systems that discourage individuals from substituting the use of active and public transit modes by ride-hailing and AV-based services. Finally, we observe that individuals seem to be less sensitive to the presence of strangers in a commute trip than in a leisure trip, but the sensitivity to time is the opposite. The implications of these results are that pooled services may have a large market penetration potential for commute trips as long as operated efficiently with minimal detour and pick-up/drop-off delays. Advisors/Committee Members: Bhat, Chandra R. (Chandrasekhar R.), 1964- (advisor), Machemehl, Randy (committee member), Boyles, Stephen (committee member), Stolp, Chandler (committee member), Zmud, Johanna (committee member).

Subjects/Keywords: Ride-hailing; Autonomous vehicles; Shared mobility; Mobility as a service; Multivariate modeling; GHDM

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APA (6^th Edition):

-9323-832X. (2018). Is the future of urban mobility shared? : modeling ride-hailing adoption and preferences for ownership and sharing of autonomous vehicles. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/69125

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Author name may be incomplete

Chicago Manual of Style (16^th Edition):

-9323-832X. “Is the future of urban mobility shared? : modeling ride-hailing adoption and preferences for ownership and sharing of autonomous vehicles.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/69125.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7^th Edition):

-9323-832X. “Is the future of urban mobility shared? : modeling ride-hailing adoption and preferences for ownership and sharing of autonomous vehicles.” 2018. Web. 19 Jan 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-9323-832X. Is the future of urban mobility shared? : modeling ride-hailing adoption and preferences for ownership and sharing of autonomous vehicles. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2018. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/69125.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-9323-832X. Is the future of urban mobility shared? : modeling ride-hailing adoption and preferences for ownership and sharing of autonomous vehicles. [Doctoral Dissertation]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/69125

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

23. Lamondia, Jeffrey. A behavioral framework for tourism travel time use and activity patterns.

Degree: PhD, Civil Engineering, 2010, University of Texas – Austin

URL: http://hdl.handle.net/2152/ETD-UT-2010-08-1679

► American households spend over $30 billion on tourism and take over 177 million long-distance leisure trips each year. These trips, and the subsequent vehicle miles… (more)

▼ American households spend over $30 billion on tourism and take over 177 million long-distance leisure trips each year. These trips, and the subsequent vehicle miles traveled, have a significant impact on the transportation systems at major destinations across the country, especially those destinations that are still improving their transportation systems. Surprisingly, not much is known related to this type of travel. This dissertation expands the current knowledge of tourism travel behavior, in terms of how people make decisions regarding long-distance leisure activities and time use. Specifically, this dissertation develops and comprehensively examines a behavioral framework for household tourism time use and activity patterns. This framework combines (and builds upon) theory and methods from both transportation and tourism research fields such that it can be used to improve tourism demand modeling. This framework takes an interdisciplinary approach to describe how long distance leisure travelers allocate and maximize their time use across various types of activities. It also considers the many levels of tourism time use and activity patterns, including the structuring the broad annual leisure activity and time budget, forming individual tourism trips within the defined budget, and selecting specific activities and timing during each distinct tourism trip. Subsequently, this dissertation will additionally apply the time use and activity participation behavioral framework to four critical tourism research topics to demonstrate how the tourism behavioral framework can effectively be used to provide behavioral insights into some of the most commonly studied critical tourism issues. These application topics include household participation in broad tourism travel activities, travel parties’ tourism destination and travel mode selection, individuals’ loyalty towards daily and tourism activities, and travel parties’ participation in combinations of specific tourism trip activities. These application studies incorporate a variety of data sources, decision makers, study scales, situation-appropriate modeling techniques, and economic/individual/environmental factors to capture all aspects of the decision and travel activity-making process. Advisors/Committee Members: Bhat, Chandra R. (Chandrasekhar R.), 1964- (advisor), Walton, Michael (committee member), Machemehl, Randy (committee member), Abrevaya, Jason (committee member), McCray, Talia (committee member).

Subjects/Keywords: Tourism; Transportation; Leisure travel; Travel industry; Sustainable tourism; Transportation planning; Discrete choice models; Econometrics; Behavioral framework

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APA (6^th Edition):

Lamondia, J. (2010). A behavioral framework for tourism travel time use and activity patterns. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-08-1679

Chicago Manual of Style (16^th Edition):

Lamondia, Jeffrey. “A behavioral framework for tourism travel time use and activity patterns.” 2010. Doctoral Dissertation, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/ETD-UT-2010-08-1679.

MLA Handbook (7^th Edition):

Lamondia, Jeffrey. “A behavioral framework for tourism travel time use and activity patterns.” 2010. Web. 19 Jan 2021.

Vancouver:

Lamondia J. A behavioral framework for tourism travel time use and activity patterns. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2010. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-08-1679.

Council of Science Editors:

Lamondia J. A behavioral framework for tourism travel time use and activity patterns. [Doctoral Dissertation]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-08-1679

24. Ferdous, Nazneen. A new estimation approach for modeling activity-travel behavior : applications of the composite marginal likelihood approach in modeling multidimensional choices.

Degree: PhD, Civil Engineering, 2011, University of Texas – Austin

URL: http://hdl.handle.net/2152/ETD-UT-2011-08-4224

► The research in the field of travel demand modeling is driven by the need to understand individuals’ behavior in the context of travel-related decisions as… (more)

▼ The research in the field of travel demand modeling is driven by the need to understand individuals’ behavior in the context of travel-related decisions as accurately as possible. In this regard, the activity-based approach to modeling travel demand has received substantial attention in the past decade, both in the research arena as well as in practice. At the same time, recent efforts have been focused on more fully realizing the potential of activity-based models by explicitly recognizing the multi-dimensional nature of activity-travel decisions. However, as more behavioral elements/dimensions are added, the dimensionality of the model systems tends to explode, making the estimation of such models all but infeasible using traditional inference methods. As a result, analysts and practitioners often trade-off between recognizing attributes that will make a model behaviorally more representative (from a theoretical viewpoint) and being able to estimate/implement a model (from a practical viewpoint). An alternative approach to deal with the estimation complications arising from multi-dimensional choice situations is the technique of composite marginal likelihood (CML). This is an estimation technique that is gaining substantial attention in the statistics field, though there has been relatively little coverage of this method in transportation and other fields. The CML approach is a conceptually and pedagogically simpler simulation-free procedure (relative to traditional approaches that employ simulation techniques), and has the advantage of reproducibility of the results. Under the usual regularity assumptions, the CML estimator is consistent, unbiased, and asymptotically normally distributed. The discussion above indicates that the CML approach has the potential to contribute in the area of travel demand modeling in a significant way. For example, the approach can be used to develop conceptually and behaviorally more appealing models to examine individuals’ travel decisions in a joint framework. The overarching goal of the current research work is to demonstrate the applicability of the CML approach in the area of activity-travel demand modeling and to highlight the enhanced features of the choice models estimated using the CML approach. The goal of the dissertation is achieved in three steps as follows: (1) by evaluating the performance of the CML approach in multivariate situations, (2) by developing multidimensional choice models using the CML approach, and (3) by demonstrating applications of the multidimensional choice models developed in the current dissertation. Advisors/Committee Members: Bhat, Chandra R. (Chandrasekhar R.), 1964- (advisor), Machemehl, Randy (committee member), Abrevaya, Jason (committee member), Waller, Steven (committee member), Stolp, Chandler (committee member).

Subjects/Keywords: Composite marginal likelihood; Multivariate ordered-response model system; Maximum simulated likelihood; Pairwise marginal likelihood; Statistical efficiency; Social interactions; Activity-based modeling; Walking; Bicycling; Activity duration; Hazard function; Spatial interaction; Normal scale mixture; Spatial econometrics; Panel data; Random coefficients; Urban land development intensity

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APA (6^th Edition):

Ferdous, N. (2011). A new estimation approach for modeling activity-travel behavior : applications of the composite marginal likelihood approach in modeling multidimensional choices. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-08-4224

Chicago Manual of Style (16^th Edition):

Ferdous, Nazneen. “A new estimation approach for modeling activity-travel behavior : applications of the composite marginal likelihood approach in modeling multidimensional choices.” 2011. Doctoral Dissertation, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/ETD-UT-2011-08-4224.

MLA Handbook (7^th Edition):

Ferdous, Nazneen. “A new estimation approach for modeling activity-travel behavior : applications of the composite marginal likelihood approach in modeling multidimensional choices.” 2011. Web. 19 Jan 2021.

Vancouver:

Ferdous N. A new estimation approach for modeling activity-travel behavior : applications of the composite marginal likelihood approach in modeling multidimensional choices. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2011. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-08-4224.

Council of Science Editors:

Ferdous N. A new estimation approach for modeling activity-travel behavior : applications of the composite marginal likelihood approach in modeling multidimensional choices. [Doctoral Dissertation]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-08-4224

25. Sidharthan, Raghuprasad. On the estimation and application of flexible unordered spatial discrete choice models.

Degree: PhD, Civil Engineering, 2012, University of Texas – Austin

URL: http://hdl.handle.net/2152/19561

► Unordered choice models are commonly used in the field of transportation and several other fields to analyze discrete choice behavior. In the past decade, there… (more)

▼ Unordered choice models are commonly used in the field of transportation and several other fields to analyze discrete choice behavior. In the past decade, there have been substantial advances in specifying and estimating such models to allow unobserved taste variations and flexible error covariance structures. However, the current estimation methods are still computationally intensive and often break down when spatial dependence structures are introduced (due to the resulting high dimensionality of integration in the likelihood function). But a recently proposed method, the Maximum Approximate Composite Marginal Likelihood (MACML) method, offers an effective approach to estimate such models. The MACML approach combines a composite marginal likelihood (CML) estimation approach with an approximation method to evaluate the multivariate standard normal cumulative distribution (MVNCD) function. The composite likelihood approach replaces the likelihood function with a surrogate likelihood function of substantially lower dimensionality, which is then subsequently evaluated using an analytic approximation method rather than simulation techniques. This combination of the CML with the specific analytic approximation for the MVNCD function is effective because it involves only univariate and bivariate cumulative normal distribution function evaluations, regardless of the dimensionality of the problem. For my dissertation, I have four objectives. The first is to evaluate the performance of the MACML method to estimate unordered response models by undertaking a Monte Carlo simulation exercise. The second is to formulate and estimate a spatial and temporal unordered discrete choice model and apply this model to a land use change context and to the mode choice decision of school children. The third objective is to formulate a random coefficient model with non-normal mixing distributions on model parameters which can be estimated using the MACML approach. Finally, the fourth objective us to propose an improvement to the MACML method by incorporating a second order MVNCD function that is more accurate and evaluate its performance in estimating parameters for a variety of model structures. Advisors/Committee Members: Bhat, Chandra R (Chandrasekhar R.), 1964- (advisor), Abrevaya, Jason (committee member), Boyles, Steve (committee member), Machemehl, Randy B (committee member), Oden, Michael (committee member), Stolp, Chandler (committee member).

Subjects/Keywords: Spatial econometrics; Land use; School mode choice; Skew normal

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APA (6^th Edition):

Sidharthan, R. (2012). On the estimation and application of flexible unordered spatial discrete choice models. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/19561

Chicago Manual of Style (16^th Edition):

Sidharthan, Raghuprasad. “On the estimation and application of flexible unordered spatial discrete choice models.” 2012. Doctoral Dissertation, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/19561.

MLA Handbook (7^th Edition):

Sidharthan, Raghuprasad. “On the estimation and application of flexible unordered spatial discrete choice models.” 2012. Web. 19 Jan 2021.

Vancouver:

Sidharthan R. On the estimation and application of flexible unordered spatial discrete choice models. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2012. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/19561.

Council of Science Editors:

Sidharthan R. On the estimation and application of flexible unordered spatial discrete choice models. [Doctoral Dissertation]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/19561

26. Sener, Ipek N. Accommodating flexible spatial and social dependency structures in discrete choice models of activity-based travel demand modeling.

Degree: PhD, Civil Engineering, 2010, University of Texas – Austin

URL: http://hdl.handle.net/2152/ETD-UT-2010-08-1609

► Spatial and social dependence shape human activity-travel pattern decisions and their antecedent choices. Although the transportation literature has long recognized the importance of considering spatial… (more)

▼ Spatial and social dependence shape human activity-travel pattern decisions and their antecedent choices. Although the transportation literature has long recognized the importance of considering spatial and social dependencies in modeling individuals’ choice behavior, there has been less research on techniques to accommodate these dependencies in discrete choice models, mainly because of the modeling complexities introduced by such interdependencies. The main goal of this dissertation, therefore, is to propose new modeling approaches for accommodating flexible spatial and social dependency structures in discrete choice models within the broader context of activity-based travel demand modeling. The primary objectives of this dissertation research are three-fold. The first objective is to develop a discrete choice modeling methodology that explicitly incorporates spatial dependency (or correlation) across location choice alternatives (whether the choice alternatives are contiguous or non-contiguous). This is achieved by incorporating flexible spatial correlations and patterns using a closed-form Generalized Extreme Value (GEV) structure. The second objective is to propose new approaches to accommodate spatial dependency (or correlation) across observational units for different aspatial discrete choice models, including binary choice and ordered-response choice models. This is achieved by adopting different copula-based methodologies, which offer flexible dependency structures to test for different forms of dependencies. Further, simple and practical approaches are proposed, obviating the need for any kind of simulation machinery and methods for estimation. Finally, the third objective is to formulate an enhanced methodology to capture the social dependency (or correlation) across observational units. In particular, a clustered copula-based approach is formulated to recognize the potential dependence due to cluster effects (such as family-related effects) in an ordered-response context. The proposed approaches are empirically applied in the context of both spatial and aspatial choice situations, including residential location and activity participation choices. In particular, the results show that ignoring spatial and social dependencies, when present, can lead to inconsistent and inefficient parameter estimates that, in turn, can result in misinformed policy actions and recommendations. The approaches proposed in this research are simple, flexible and easy-to-implement, applicable to data sets of any size, do not require any simulation machinery, and do not impose any restrictive assumptions on the dependency structure. Advisors/Committee Members: Bhat, Chandra R. (Chandrasekhar R.), 1964- (advisor), Machemehl, Randy B. (committee member), Pendyala, Ram M. (committee member), Stolp, Chandler (committee member), Waller, Travis S. (committee member).

Subjects/Keywords: Spatial dependency; Social dependency; Activity-travel behavior modeling; Discrete choice modeling; Discrete choice; Copula; Maximum likelihood estimation; Composite marginal likelihood; Travel demand models

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APA (6^th Edition):

Sener, I. N. (2010). Accommodating flexible spatial and social dependency structures in discrete choice models of activity-based travel demand modeling. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-08-1609

Chicago Manual of Style (16^th Edition):

Sener, Ipek N. “Accommodating flexible spatial and social dependency structures in discrete choice models of activity-based travel demand modeling.” 2010. Doctoral Dissertation, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/ETD-UT-2010-08-1609.

MLA Handbook (7^th Edition):

Sener, Ipek N. “Accommodating flexible spatial and social dependency structures in discrete choice models of activity-based travel demand modeling.” 2010. Web. 19 Jan 2021.

Vancouver:

Sener IN. Accommodating flexible spatial and social dependency structures in discrete choice models of activity-based travel demand modeling. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2010. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-08-1609.

Council of Science Editors:

Sener IN. Accommodating flexible spatial and social dependency structures in discrete choice models of activity-based travel demand modeling. [Doctoral Dissertation]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-08-1609

27. Paleti Ravi Venkata Durga, Rajesh. On integrating models of household vehicle ownership, composition, and evolution with activity based travel models.

Degree: PhD, Civil Engineering, 2012, University of Texas – Austin

URL: http://hdl.handle.net/2152/ETD-UT-2012-12-6687

► Activity-based travel demand model systems are increasingly being deployed to microsimulate daily activity-travel patterns of individuals. However, a critical dimension that is often missed in… (more)

▼ Activity-based travel demand model systems are increasingly being deployed to microsimulate daily activity-travel patterns of individuals. However, a critical dimension that is often missed in these models is that of vehicle type choice. The current dissertation addresses this issue head-on and contributes to the field of transportation planning in three major ways. First, this research develops a comprehensive vehicle micro-simulation framework that incorporates state-of-the-art household vehicle type choice, usage, and evolution models. The novelty of the framework developed is that it accommodates all the dimensions characterizing vehicle fleet/usage decisions, as well as accommodates all dimensions of vehicle transactions (i.e., fleet evolution) over time. The models estimated are multiple discrete-continuous models (vehicle type being the discrete component and vehicle mileage being the continuous component) and spatial discrete choice models that explicitly accommodate for multiple vehicle ownership and spatial interactions among households. More importantly, the vehicle fleet simulator developed in this study can be easily integrated within an activity-based microsimulation framework. Second, the vehicle fleet evolution and composition models developed in this dissertation are used to predict the vehicle fleet characteristics, annual mileage, and the associated fuel consumption and green-house gas (GHG) emissions for future years as a function of the built environment, demographics, fuel and related technology, and policy scenarios. This exercise contributes in substantial ways to the identification of promising strategies to increase the penetration of alternative-fuel vehicles and fuel-efficient vehicles, reduce energy consumption, and reduce greenhouse gas emissions. Lastly, this research captures several complex interactions between vehicle ownership, location, and activity-travel decisions of individuals by estimating 1) a joint tour-based model of tour complexity, passenger accompaniment, vehicle type choice, and tour length, and 2) an integrated model of residential location, work location, vehicle ownership, and commute tour characteristics. The methodology used for estimating these models allows the specification and estimation of multi-dimensional choice model systems covering a wide spectrum of dependent variable types (including multinomial, ordinal, count, and continuous) and may be viewed as a major advance with the potential to lead to redefine the way activity-based travel model systems are structured and implemented. Advisors/Committee Members: Bhat, Chandra R. (Chandrasekhar R.), 1964- (advisor), Abrevaya, Jason (committee member), Pendyala, Ram (committee member), Machemehl, Randy (committee member), Boyles, Stephen (committee member).

Subjects/Keywords: Activity-based travel models; Vehicle type choice; Multidimensional choice modeling; Greenhouse gas emissions; Microsimulation

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APA (6^th Edition):

Paleti Ravi Venkata Durga, R. (2012). On integrating models of household vehicle ownership, composition, and evolution with activity based travel models. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2012-12-6687

Chicago Manual of Style (16^th Edition):

Paleti Ravi Venkata Durga, Rajesh. “On integrating models of household vehicle ownership, composition, and evolution with activity based travel models.” 2012. Doctoral Dissertation, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/ETD-UT-2012-12-6687.

MLA Handbook (7^th Edition):

Paleti Ravi Venkata Durga, Rajesh. “On integrating models of household vehicle ownership, composition, and evolution with activity based travel models.” 2012. Web. 19 Jan 2021.

Vancouver:

Paleti Ravi Venkata Durga R. On integrating models of household vehicle ownership, composition, and evolution with activity based travel models. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2012. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/ETD-UT-2012-12-6687.

Council of Science Editors:

Paleti Ravi Venkata Durga R. On integrating models of household vehicle ownership, composition, and evolution with activity based travel models. [Doctoral Dissertation]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/ETD-UT-2012-12-6687

28. Castro, Marisol Andrea. On generalizing the multiple discrete-continuous extreme value (MDCEV) model.

Degree: PhD, Civil Engineering, 2012, University of Texas – Austin

URL: http://hdl.handle.net/2152/19562

► The overall goal of the dissertation is to contribute to the growing literature on multiple discrete-continuous (MDC) choice models. In MDC choice situations, consumers often… (more)

▼ The overall goal of the dissertation is to contribute to the growing literature on multiple discrete-continuous (MDC) choice models. In MDC choice situations, consumers often encounter two inter-related decisions at a choice instance – which alternative(s) to choose for consumption from a set of available alternatives, and the amount to consume of the chosen alternatives. In the recent literature, there is increasing attention on modeling MDC situations based on a rigorous underlying micro-economic utility maximization framework. Among these models, the multiple-discrete continuous extreme value MDCEV model (Bhat, 2005, 2008) provides a number of advantages over other models. The primary objective of this dissertation is to extend the MDCEV framework to accommodate more realistic decision-making processes from a behavioral standpoint. The dissertation has two secondary objectives. The first is to advance the current operationalization and the econometric modeling of MDC choice situations. The second is to contribute to the transportation literature by estimating MDC models that provide new insights on individuals’ travel decision processes. The proposed extensions of the MDCEV model include: (1) To formulate and estimate a latent choice set generation model within the MDCEV framework, (2) To develop a random utility-based model formulation that extends the MDCEV model to include multiple linear constraints, and (3) To extend the MDCEV model to relax the assumption of an additively separable utility function. The methodologies developed in this dissertation allow the specification and estimation of complex MDC choice models, and may be viewed as a major advance with the potential to lead to significant breakthroughs in the way MDC choices are structured and implemented. These methodologies provide a more realistic representation of the choice process. The proposed extensions are applied to different empirical contexts within the transportation field, including participation in and travel mileage allocated to non-work activities during various time periods of the day for workers, participation in recreational activities and time allocation for workers, and household expenditures in disaggregate transportation categories. The results from these exercises clearly underline the importance of relaxing some of the assumptions made, not only in the MDCEV model, but in MDC models in general. Advisors/Committee Members: Bhat, Chandra R (Chandrasekhar R.), 1964- (advisor), Abrevaya, Jason (committee member), Boyles, Steve (committee member), Machemehl, Randy B (committee member), Stolp, Chandler (committee member).

Subjects/Keywords: Discrete choice models; Transportation; Multiple discrete-continuous models; Time use models; Consumer behavior; Microeconomic theory

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APA (6^th Edition):

Castro, M. A. (2012). On generalizing the multiple discrete-continuous extreme value (MDCEV) model. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/19562

Chicago Manual of Style (16^th Edition):

Castro, Marisol Andrea. “On generalizing the multiple discrete-continuous extreme value (MDCEV) model.” 2012. Doctoral Dissertation, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/19562.

MLA Handbook (7^th Edition):

Castro, Marisol Andrea. “On generalizing the multiple discrete-continuous extreme value (MDCEV) model.” 2012. Web. 19 Jan 2021.

Vancouver:

Castro MA. On generalizing the multiple discrete-continuous extreme value (MDCEV) model. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2012. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/19562.

Council of Science Editors:

Castro MA. On generalizing the multiple discrete-continuous extreme value (MDCEV) model. [Doctoral Dissertation]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/19562

University of Texas – Austin

29. Sivakumar, Aruna. Toward a comprehensive, unified, framework for analyzing spatial location choice.

Degree: PhD, Civil Engineering, 2005, University of Texas – Austin

URL: http://hdl.handle.net/2152/2315

► In today’s world of increasing congestion and insufficient scope for infrastructural expansions, urban and transportation planners rely on the accuracy and behavioral realism of travel… (more)

▼ In today’s world of increasing congestion and insufficient scope for infrastructural expansions, urban and transportation planners rely on the accuracy and behavioral realism of travel demand models to make informed policy decisions. The development of accurate and behaviorally realistic travel demand models requires a good understanding of individual travel behavior, and an important step toward this has been the development of the activity-based paradigm, which states that travel is a result of the desire to participate in activities at spatially scattered locations. Activity-based travel demand modeling systems essentially model the activity-travel patterns of individuals, which are characterized by several attributes such as activity purpose, location of activity participation and choice of mode. Of all these attributes, the choice of location of activity participation is one that has received relatively inadequate attention in the literature. On the other hand, the location of activity participation spatially pegs the daily activity-travel patterns of individuals. Accurate predictions of activity location are, therefore, key to effective travel demand management and air quality control strategies. Moreover, an understanding of the factors that influence the choice of location can contribute to more effective land-use and zoning policies. The broad objectives of this dissertation research are two-fold. The first objective is to develop a comprehensive econometric model of location choice for non-work activities that incorporates accuracy and behavioral realism in capturing different choice behaviors. This was achieved through the comprehensive introduction of heterogeneity in choice behavior, including observed and unobserved sources of inter- and intra-personal heterogeneity, spatial correlation, variety seeking and loyalty/inertial behavior, and spatial cognition. The estimation of such a flexible model typically requires the use of simulated maximum likelihood estimation (SMLE). The second broad objective of this research is to contribute toward improving the efficiency of the SMLE by comparing the performance of various quasi-Monte Carlo (QMC) sequences and their scrambled versions. Numerical experiments were designed and the Random Linear and Random Digit Scrambled Faure sequences are identified as the most efficient. Finally, all these research efforts contribute to the empirical estimation of non-maintenance shopping location choice models using panel data from the Mobidrive survey. Advisors/Committee Members: Bhat, Chandra R. (Chandrasekhar R.), 1964- (advisor).

Subjects/Keywords: Choice (Psychology) – Econometric models; Traffic estimation; Spatial analysis (Statistics)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Sivakumar, A. (2005). Toward a comprehensive, unified, framework for analyzing spatial location choice. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/2315

Chicago Manual of Style (16^th Edition):

Sivakumar, Aruna. “Toward a comprehensive, unified, framework for analyzing spatial location choice.” 2005. Doctoral Dissertation, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/2315.

MLA Handbook (7^th Edition):

Sivakumar, Aruna. “Toward a comprehensive, unified, framework for analyzing spatial location choice.” 2005. Web. 19 Jan 2021.

Vancouver:

Sivakumar A. Toward a comprehensive, unified, framework for analyzing spatial location choice. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2005. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/2315.

Council of Science Editors:

Sivakumar A. Toward a comprehensive, unified, framework for analyzing spatial location choice. [Doctoral Dissertation]. University of Texas – Austin; 2005. Available from: http://hdl.handle.net/2152/2315

30. Eluru, Naveen. Developing advanced econometric frameworks for modeling multidimensional choices : an application to integrated land-use activity based model framework.

Degree: PhD, Civil Engineering, 2010, University of Texas – Austin

URL: http://hdl.handle.net/2152/ETD-UT-2010-12-1549

► The overall goal of the dissertation is to contribute to the growing literature on the activity-based framework by focusing on the modeling of choices that… (more)

▼ The overall goal of the dissertation is to contribute to the growing literature on the activity-based framework by focusing on the modeling of choices that are influenced by land-use and travel environment attributes. An accurate characterization of activity-travel patterns requires explicit consideration of the land-use and travel environment (referred to as travel environment from here on). There are two important categories of travel environment influences: direct (or causal) and indirect (or self-selection) effects. The direct effect of travel environment refers to how travel environment attributes causally influence travel choices. This direct effect may be captured by including travel environment variables as exogenous variables in travel models. Of course, determining if a travel environment variable has a direct effect on an activity/travel choice of interest is anything but straightforward. This is because of a potential indirect effect of the influence of the travel environment, which is not related to a causal effect. That is, the very travel environment attributes experienced by a decision maker (individual or household) is a function of a suite of a priori travel related choices made by the decision maker. The specific emphasis of the current dissertation is on moving away from considering travel environment choices as purely exogenous determinants of activity-travel models, and instead explicitly modeling travel environment decisions jointly along with activity-travel decisions in an integrated framework. Towards this end, the current dissertation formulates econometric models to analyze multidimensional choices. The multidimensional choice situations examined (and the corresponding model developed) in the research effort include: (1) reason for residential relocation and associated duration of stay (joint multinomial logit model and a grouped logit model), (2) household residential location and daily vehicle miles travelled (Copula based joint binary logit and log-linear regression model), (3) household residential location, vehicle type and usage choices (copula based Generalized Extreme Value and log-linear regression model) and (4) activity type, travel mode, time period of day, activity duration and activity location (joint multiple discrete continuous extreme value (MDCEV) model and multinomial logit model (MNL) with sampling of alternatives). The models developed in the current dissertation are estimated using actual field data from Zurich and San Francisco. A variety of policy exercises are conducted to illustrate the advantages of the econometric models developed. The results from these exercises clearly underline the importance of incorporating the direct and indirect effects of travel environment on these choice scenarios. Advisors/Committee Members: Bhat, Chandra R. (Chandrasekhar R.), 1964- (advisor), Machemehl, randy b. (committee member), waller, s. travis (committee member), donald, stephen (committee member), Srinivasan, Sivaramakrishnan (committee member).

Subjects/Keywords: Activity land-use travel behavior; Activity based framework; Activity based travel; Travel demand; Transportation systems; Transportation systems engineering

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APA (6^th Edition):

Eluru, N. (2010). Developing advanced econometric frameworks for modeling multidimensional choices : an application to integrated land-use activity based model framework. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-12-1549

Chicago Manual of Style (16^th Edition):

Eluru, Naveen. “Developing advanced econometric frameworks for modeling multidimensional choices : an application to integrated land-use activity based model framework.” 2010. Doctoral Dissertation, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/ETD-UT-2010-12-1549.

MLA Handbook (7^th Edition):

Eluru, Naveen. “Developing advanced econometric frameworks for modeling multidimensional choices : an application to integrated land-use activity based model framework.” 2010. Web. 19 Jan 2021.

Vancouver:

Eluru N. Developing advanced econometric frameworks for modeling multidimensional choices : an application to integrated land-use activity based model framework. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2010. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-12-1549.

Council of Science Editors:

Eluru N. Developing advanced econometric frameworks for modeling multidimensional choices : an application to integrated land-use activity based model framework. [Doctoral Dissertation]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-12-1549

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