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Cornell University
1.
Yang, Qiaoyu.
Optimal Allocation Algorithm for Sequential Resource Allocation in the Context of Food Banks Operations.
Degree: M.S., Civil and Environmental Engineering, Civil and Environmental Engineering, 2018, Cornell University
URL: http://hdl.handle.net/1813/59691 
► This thesis studies a Sequential Resource Allocation (SRA) problem that is faced by food distribution of a nonprofit organization (e.g. food banks). Different from commercial…
(more)
▼ This thesis studies a Sequential Resource Allocation (SRA) problem that is faced by food distribution of a nonprofit organization (e.g. food banks). Different from commercial operations’ objective aimed at maximizing profit, the primary objective arising in nonprofit organizations is to fairly satisfy the demand of recipients. Rising demand and limited resource increase the importance of effective food allocation operations that maximize equity and resource utilization at the same time. In the context of food bank operations, we consider the problem of collecting an uncertain quantities of donation and allocating them sequentially to meet customers’ demands that are uncertain until arriving at the customer’s location. A SRA model is formulated that can be used to design an optimal visiting route; it focus on equity maximization and waste reduction. Without considering travel cost/time restriction, our work solves the problem by developing a new objective function to minimize the filling rate (i.e., the ratio of the allocation quantity to observed demand) gap among agencies. An experimentation is designed to evaluate and analyze the performance of the algorithm, and the proposed method yield better solutions in terms of waste reduction. Furthermore, by using adaptive large neighborhood search (ALNS), we extend the model to include travel cost into consideration to find a near-optimal visiting route. A case study with larger scale is also performed that shows the algorithm obtains high-quality solutions in terms of equity and efficiency (travel costs).
Advisors/Committee Members: Gao, Huaizhu (chair), Nozick, Linda K. (committee member).
Subjects/Keywords: Sequential Resource Allocation; Equity; Food bank; Transportation; Vehicle routing; Nonprofit operations
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APA (6th Edition):
Yang, Q. (2018). Optimal Allocation Algorithm for Sequential Resource Allocation in the Context of Food Banks Operations. (Masters Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/59691
Chicago Manual of Style (16th Edition):
Yang, Qiaoyu. “Optimal Allocation Algorithm for Sequential Resource Allocation in the Context of Food Banks Operations.” 2018. Masters Thesis, Cornell University. Accessed January 24, 2021.
http://hdl.handle.net/1813/59691.
MLA Handbook (7th Edition):
Yang, Qiaoyu. “Optimal Allocation Algorithm for Sequential Resource Allocation in the Context of Food Banks Operations.” 2018. Web. 24 Jan 2021.
Vancouver:
Yang Q. Optimal Allocation Algorithm for Sequential Resource Allocation in the Context of Food Banks Operations. [Internet] [Masters thesis]. Cornell University; 2018. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/1813/59691.
Council of Science Editors:
Yang Q. Optimal Allocation Algorithm for Sequential Resource Allocation in the Context of Food Banks Operations. [Masters Thesis]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/59691
Cornell University
2.
Zhang, Yunzhou.
Investigating the Pricing Impact of the American Airlines and US Airways Merger.
Degree: M.S., Civil and Environmental Engineering, Civil and Environmental Engineering, 2017, Cornell University
URL: http://hdl.handle.net/1813/56930
► In 2013, American Airlines merged with US Airways creating the largest airline in the world. This paper analyzes this merger’s effect on domestic airline ticket…
(more)
▼ In 2013, American Airlines merged with US Airways creating the largest airline in the world. This paper analyzes this merger’s effect on domestic airline ticket pricing using the Department of Transportation’s 10% ticket sample. In particular, and of particular importance in mergers, this analysis focuses on the role of competition pre and post-merger on these impacts. This analysis shows that the merged airline was able raise their fares. In addition, where a legacy carrier was in the market and US Airways and/or American Airlines did not play a role (as either an incumbent or a potential entrant) prices also rose. In markets where US Airways and/or American did play a role, fares for these legacy carriers still rose but by less than when these carriers were present. For low cost carriers in the equivalent situations, prices declined. In markets where American and/or US Airways did play a role, for low cost carriers, prices declined and those declines were larger in markets where American and/or US Airways was an actual incumbent instead of a potential competitor.
Advisors/Committee Members: Nozick, Linda K. (chair), Alvarez Daziano, Ricardo (committee member).
Subjects/Keywords: Transportation
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APA (6th Edition):
Zhang, Y. (2017). Investigating the Pricing Impact of the American Airlines and US Airways Merger. (Masters Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/56930
Chicago Manual of Style (16th Edition):
Zhang, Yunzhou. “Investigating the Pricing Impact of the American Airlines and US Airways Merger.” 2017. Masters Thesis, Cornell University. Accessed January 24, 2021.
http://hdl.handle.net/1813/56930.
MLA Handbook (7th Edition):
Zhang, Yunzhou. “Investigating the Pricing Impact of the American Airlines and US Airways Merger.” 2017. Web. 24 Jan 2021.
Vancouver:
Zhang Y. Investigating the Pricing Impact of the American Airlines and US Airways Merger. [Internet] [Masters thesis]. Cornell University; 2017. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/1813/56930.
Council of Science Editors:
Zhang Y. Investigating the Pricing Impact of the American Airlines and US Airways Merger. [Masters Thesis]. Cornell University; 2017. Available from: http://hdl.handle.net/1813/56930
Cornell University
3.
Wang, Hao.
Modeling Residential Mobility Using American Housing Survey.
Degree: M.S., Civil and Environmental Engineering, Civil and Environmental Engineering, 2015, Cornell University
URL: http://hdl.handle.net/1813/41094
► The relocation decisions by individual households collectively shape urban areas; hence we use the American Household Survey to empirically study these mobility decisions. We focus…
(more)
▼ The relocation decisions by individual households collectively shape urban areas; hence we use the American Household Survey to empirically study these mobility decisions. We focus on both the decision to move as well as home location selection. We reconfirm the importance of several socio-demographic and macro-economic variables in these decisions as well as identify several other important variables that are relevant to these decision processes.
Advisors/Committee Members: Nozick,Linda K. (chair), Alvarez Daziano,Ricardo (committee member).
Subjects/Keywords: American housing survey; Residential Mobility; mnl
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APA (6th Edition):
Wang, H. (2015). Modeling Residential Mobility Using American Housing Survey. (Masters Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/41094
Chicago Manual of Style (16th Edition):
Wang, Hao. “Modeling Residential Mobility Using American Housing Survey.” 2015. Masters Thesis, Cornell University. Accessed January 24, 2021.
http://hdl.handle.net/1813/41094.
MLA Handbook (7th Edition):
Wang, Hao. “Modeling Residential Mobility Using American Housing Survey.” 2015. Web. 24 Jan 2021.
Vancouver:
Wang H. Modeling Residential Mobility Using American Housing Survey. [Internet] [Masters thesis]. Cornell University; 2015. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/1813/41094.
Council of Science Editors:
Wang H. Modeling Residential Mobility Using American Housing Survey. [Masters Thesis]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/41094
Cornell University
4.
Chen, Ruoyun.
Integrating Congestion Pricing And Transit Investment Planning.
Degree: M.S., Civil and Environmental Engineering, Civil and Environmental Engineering, 2015, Cornell University
URL: http://hdl.handle.net/1813/41006
► This paper develops a mathematical model and solution procedure to identify an optimal zonal pricing scheme for automobile traffic to incentivize the expanded use of…
(more)
▼ This paper develops a mathematical model and solution procedure to identify an optimal zonal pricing scheme for automobile traffic to incentivize the expanded use of transit as a mechanism to stem congestion and the social costs that arise from that congestion. The optimization model assumes that there is a homogenous collection of users whose behavior can be described as utility maximizers and for which their utility function is driven by monetary costs. These monetary costs are assumed to be the tolls in place, the per mile cost to drive, and the value of their time. We assume that there is a system owner who sets the toll prices, collects the proceeds from the tolls, and invests those funds in transit system improvements in the form of headway reductions. This yields a bi-level optimization model which we solve using an iterative procedure that is an integration of a genetic algorithm and the Frank-Wolfe method. The method and solution procedure is applied to an illustrative example.
Advisors/Committee Members: Nozick,Linda K. (chair), Kleinberg,Jon M. (committee member).
Subjects/Keywords: Congestion Pricing; Transit Investment; Bi-level Optimization
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APA (6th Edition):
Chen, R. (2015). Integrating Congestion Pricing And Transit Investment Planning. (Masters Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/41006
Chicago Manual of Style (16th Edition):
Chen, Ruoyun. “Integrating Congestion Pricing And Transit Investment Planning.” 2015. Masters Thesis, Cornell University. Accessed January 24, 2021.
http://hdl.handle.net/1813/41006.
MLA Handbook (7th Edition):
Chen, Ruoyun. “Integrating Congestion Pricing And Transit Investment Planning.” 2015. Web. 24 Jan 2021.
Vancouver:
Chen R. Integrating Congestion Pricing And Transit Investment Planning. [Internet] [Masters thesis]. Cornell University; 2015. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/1813/41006.
Council of Science Editors:
Chen R. Integrating Congestion Pricing And Transit Investment Planning. [Masters Thesis]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/41006
Cornell University
5.
Xiong, Qinyuan.
A Procedure of Solving Transit Network Design Problem Based on a Non-Dominated Sorting Algorithm of NSGA II.
Degree: M.S., Civil and Environmental Engineering, Civil and Environmental Engineering, 2017, Cornell University
URL: http://hdl.handle.net/1813/51593
► This thesis focuses on the transit network design problem, where the focus is on understanding the trade-off between user costs and system owner cost. Given…
(more)
▼ This thesis focuses on the transit network design problem, where the focus is on understanding the trade-off between user costs and system owner cost. Given the focus on understanding this trade-off, a solution procedure based on the use of the Non-Dominated Sorting Genetic Algorithm (NGSA II) is developed. An illustrative example is presented.
Advisors/Committee Members: Nozick, Linda K (chair), Henderson, Shane G (committee member).
Subjects/Keywords: Operations research; Transportation
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APA ·
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APA (6th Edition):
Xiong, Q. (2017). A Procedure of Solving Transit Network Design Problem Based on a Non-Dominated Sorting Algorithm of NSGA II. (Masters Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/51593
Chicago Manual of Style (16th Edition):
Xiong, Qinyuan. “A Procedure of Solving Transit Network Design Problem Based on a Non-Dominated Sorting Algorithm of NSGA II.” 2017. Masters Thesis, Cornell University. Accessed January 24, 2021.
http://hdl.handle.net/1813/51593.
MLA Handbook (7th Edition):
Xiong, Qinyuan. “A Procedure of Solving Transit Network Design Problem Based on a Non-Dominated Sorting Algorithm of NSGA II.” 2017. Web. 24 Jan 2021.
Vancouver:
Xiong Q. A Procedure of Solving Transit Network Design Problem Based on a Non-Dominated Sorting Algorithm of NSGA II. [Internet] [Masters thesis]. Cornell University; 2017. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/1813/51593.
Council of Science Editors:
Xiong Q. A Procedure of Solving Transit Network Design Problem Based on a Non-Dominated Sorting Algorithm of NSGA II. [Masters Thesis]. Cornell University; 2017. Available from: http://hdl.handle.net/1813/51593
Cornell University
6.
Wang, Shuo.
Comparison of Time-Dependent Sequential Logit and Cox Proportional Hazards Models for Hurricane Evacuation with a Focus on the Use of Evolving Forecast Information.
Degree: M.S., Civil and Environmental Engineering, Civil and Environmental Engineering, 2017, Cornell University
URL: http://hdl.handle.net/1813/59134
► Hurricane is a natural disaster which could cause many deaths and considerable damage if improper emergency management was applied. Figuring out an efficient method to…
(more)
▼ Hurricane is a natural disaster which could cause many deaths and considerable damage if improper emergency management was applied. Figuring out an efficient method to dynamically forecast the hurricane evacuation demand with high accuracy plays a crucial role in preparedness work of hurricane management. Recently, substantial studies and research exit on understanding hurricane evacuation behavior. However, in this thesis, some forecast covariates which were not mentioned before, are introduced into the prediction of hurricane evacuation rate. Moreover, two travel demand models are applied in this study: A Sequential Logit Model and a Cox proportional hazards model. These two models are used for estimating the probability of each household to evacuate in the specific time step. After applying the data from Hurricane Gustav (2008) in Louisiana, over 76% households’ dynamic evacuation behavior are predicted correctly.
Advisors/Committee Members: Nozick, Linda K. (chair), Gao, Huaizhu (committee member).
Subjects/Keywords: Civil engineering
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APA (6th Edition):
Wang, S. (2017). Comparison of Time-Dependent Sequential Logit and Cox Proportional Hazards Models for Hurricane Evacuation with a Focus on the Use of Evolving Forecast Information. (Masters Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/59134
Chicago Manual of Style (16th Edition):
Wang, Shuo. “Comparison of Time-Dependent Sequential Logit and Cox Proportional Hazards Models for Hurricane Evacuation with a Focus on the Use of Evolving Forecast Information.” 2017. Masters Thesis, Cornell University. Accessed January 24, 2021.
http://hdl.handle.net/1813/59134.
MLA Handbook (7th Edition):
Wang, Shuo. “Comparison of Time-Dependent Sequential Logit and Cox Proportional Hazards Models for Hurricane Evacuation with a Focus on the Use of Evolving Forecast Information.” 2017. Web. 24 Jan 2021.
Vancouver:
Wang S. Comparison of Time-Dependent Sequential Logit and Cox Proportional Hazards Models for Hurricane Evacuation with a Focus on the Use of Evolving Forecast Information. [Internet] [Masters thesis]. Cornell University; 2017. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/1813/59134.
Council of Science Editors:
Wang S. Comparison of Time-Dependent Sequential Logit and Cox Proportional Hazards Models for Hurricane Evacuation with a Focus on the Use of Evolving Forecast Information. [Masters Thesis]. Cornell University; 2017. Available from: http://hdl.handle.net/1813/59134
Cornell University
7.
Li, Ziwei.
INTEGRATING MULTI-STOP SERVICE AND HUB EFFECTS INTO THE ESTIMATION OF THE LONG TERM PRICING IMPACTS OF THE AMERICAN AIRLINES AND US AIRWAYS MERGER.
Degree: M.S., Civil and Environmental Engineering, Civil and Environmental Engineering, 2018, Cornell University
URL: http://hdl.handle.net/1813/59280
► This paper extends recent research into the long term pricing impacts of the American Airlines and US Airways merger in 2013. Zhang and Nozick (2018),…
(more)
▼ This paper extends recent research into the long term pricing impacts of the American Airlines and US Airways merger in 2013. Zhang and
Nozick (2018), using the 10% ticket sample, demonstrated that low cost carriers’ post-merger lowered prices for non-stop service post-merger and those reductions in fare were the largest where American Airlines and US Airways were more prominent pre-merger. The paper extends their analysis to include multi-hop service, the impact of hubs and focus cities, and to address the feedback between prices and market concentration by introducing population and income into the statistical models. The estimated models again show that (1) legacy carriers were able to raise prices after the merger and the amount of the increase was larger where American and US Airways played a smaller role in the market pre-merger; and (2) low cost carriers reduced their prices and the amount of the reduction was also heavily influenced by the role that US Airways and American Airlines played in the market pre-merger. For the legacy carriers these trends have generally increased across 2015, 2016 and 2017. For the low cost carriers, the reductions in price over these three years have generally decreased. Finally, we find that where service is provided using airports that are hubs or focus cities, prices are generally higher and that impact is more pronounced in 2016 and 2017 in contrast to 2015.
Advisors/Committee Members: Nozick, Linda K. (chair), Gao, Huaizhu (committee member).
Subjects/Keywords: Statistics; Airline merger; competition; hub effect; multi-stop; pricing impact; regression model; Transportation
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APA (6th Edition):
Li, Z. (2018). INTEGRATING MULTI-STOP SERVICE AND HUB EFFECTS INTO THE ESTIMATION OF THE LONG TERM PRICING IMPACTS OF THE AMERICAN AIRLINES AND US AIRWAYS MERGER. (Masters Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/59280
Chicago Manual of Style (16th Edition):
Li, Ziwei. “INTEGRATING MULTI-STOP SERVICE AND HUB EFFECTS INTO THE ESTIMATION OF THE LONG TERM PRICING IMPACTS OF THE AMERICAN AIRLINES AND US AIRWAYS MERGER.” 2018. Masters Thesis, Cornell University. Accessed January 24, 2021.
http://hdl.handle.net/1813/59280.
MLA Handbook (7th Edition):
Li, Ziwei. “INTEGRATING MULTI-STOP SERVICE AND HUB EFFECTS INTO THE ESTIMATION OF THE LONG TERM PRICING IMPACTS OF THE AMERICAN AIRLINES AND US AIRWAYS MERGER.” 2018. Web. 24 Jan 2021.
Vancouver:
Li Z. INTEGRATING MULTI-STOP SERVICE AND HUB EFFECTS INTO THE ESTIMATION OF THE LONG TERM PRICING IMPACTS OF THE AMERICAN AIRLINES AND US AIRWAYS MERGER. [Internet] [Masters thesis]. Cornell University; 2018. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/1813/59280.
Council of Science Editors:
Li Z. INTEGRATING MULTI-STOP SERVICE AND HUB EFFECTS INTO THE ESTIMATION OF THE LONG TERM PRICING IMPACTS OF THE AMERICAN AIRLINES AND US AIRWAYS MERGER. [Masters Thesis]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/59280
Cornell University
8.
Gao, Yang.
Modeling A Market For Natural Catastrophe Insurance.
Degree: PhD, Civil and Environmental Engineering, 2014, Cornell University
URL: http://hdl.handle.net/1813/36195
► This dissertation introduces a game theoretic modeling framework and a series of models to examine the interactions between the key stakeholders (property owners, insurers, reinsurers…
(more)
▼ This dissertation introduces a game theoretic modeling framework and a series of models to examine the interactions between the key stakeholders (property owners, insurers, reinsurers and government) of a natural catastrophe insurance market, which possesses a complicated structure and faces many challenges from the natural catastrophe loss. Specifically, we integrate (1) a utility-based homeowner decision model; (2) a stochastic optimization model to optimize reinsurance decision by the primary insurer(s); (3) a heuristic government intervention model to reduce uninsured losses through price support for insurance purchase and acquisition; and (4) a state-ofthe-art regional catastrophe loss estimation model, all within the framework of a static Cournot-Nash noncooperative game assuming perfect information. We allow the number of primary insurers to increase from one (monopoly) to many (oligopoly) within the Cournot-Nash framework, and examines the impacts of competition on market performance from each stakeholder's perspective. An automatic ResponseSurface and Trust-Region algorithm is developed to solve the models for real, regional applications. A case study for residential wood frame buildings in Eastern North Carolina is presented. The case study suggests that: (a) private insurance market competition is an efficient mechanism to reduce uninsured loss, which should be facilitated by government; (b) more competition challenges insurers but benefits homeowners, and there exists a balance between insurer profitability and insurance penetration; (c) acquisition, price support and encouraging insurers to keep catastrophe reserve can all improve market performance and reduce uninsured loss; and (d) catastrophe reserves should be encouraged, which not only help insurers to avoid insolvency, but could also limit competition if imposed as barrier of entry, thus improve their profitability.
Advisors/Committee Members: Nozick, Linda K. (chair), Schuler, Richard Edward (committee member), Gao, Huaizhu (committee member).
Subjects/Keywords: Catastrophe Insurance; Game Theory; Competition; Government; Cournot-Nash
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APA (6th Edition):
Gao, Y. (2014). Modeling A Market For Natural Catastrophe Insurance. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/36195
Chicago Manual of Style (16th Edition):
Gao, Yang. “Modeling A Market For Natural Catastrophe Insurance.” 2014. Doctoral Dissertation, Cornell University. Accessed January 24, 2021.
http://hdl.handle.net/1813/36195.
MLA Handbook (7th Edition):
Gao, Yang. “Modeling A Market For Natural Catastrophe Insurance.” 2014. Web. 24 Jan 2021.
Vancouver:
Gao Y. Modeling A Market For Natural Catastrophe Insurance. [Internet] [Doctoral dissertation]. Cornell University; 2014. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/1813/36195.
Council of Science Editors:
Gao Y. Modeling A Market For Natural Catastrophe Insurance. [Doctoral Dissertation]. Cornell University; 2014. Available from: http://hdl.handle.net/1813/36195
Cornell University
9.
Xu, Kecheng.
MODELING OF NATURAL DISASTER CATASTROPHE LOSS INSURANCE MARKET.
Degree: PhD, Civil and Environmental Engineering, 2018, Cornell University
URL: http://hdl.handle.net/1813/64843
► This dissertation consists of three chapters. The first chapter investigates the impact of insurance affordability criteria on uninsured losses. The vehicle for analysis is a…
(more)
▼ This dissertation consists of three chapters. The first chapter investigates the impact of insurance affordability criteria on uninsured losses. The vehicle for analysis is a model of a catastrophe insurance market with explicit representation of the key stakeholders (homeowners, primary insurers and reinsurers). The theoretical framework is applied in a case study of eastern North Carolina with spatially explicit representation of hurricane damage due to wind and storm surge. We evaluate the effect of an affordability threshold expressed as a percentage of a home value. If the cost of insurance exceeds 1% or 2% of home value the home is uninsured due to the affordability constraint. We find that the homes that fail the affordability test account for a high proportion of expected losses in the high risk region or our study area and subsidization of insurance rates would not be cost effective. The second chapter investigates the impact of insurance affordability criteria on uninsured natural catastrophe losses and addresses the question of whether a voluntary, affordable catastrophe insurance market is viable. We use the same game theoretic modeling framework and the same study case used in the first paper. Examining affordability thresholds of 1% or 2% of home value, we find that homes that fail the affordability test account for a high proportion of expected losses in the high risk region of our study area, public subsidization of insurance rates would not be cost-effective, and private subsidization would destroy incentives for insurers to participate in the market. We conclude that a combination of insurance, retrofit, and acquisition is necessary to address regional hurricane risk. The third chapter develops a dynamic modeling framework for the natural catastrophe insurance market. This framework includes (1) discrete choice models for the homeowner insurance purchase decision; (2) discrete choice models for retrofit; (3) explicit modeling of the interaction between competing insurance carriers and a heterogeneous homeowner population; and (4) a probabilistic representation of hurricane occurrences over time.
Advisors/Committee Members: Nozick, Linda K. (chair), Alvarez Daziano, Ricardo (committee member), Dai, Jiangang (committee member).
Subjects/Keywords: Civil engineering
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APA (6th Edition):
Xu, K. (2018). MODELING OF NATURAL DISASTER CATASTROPHE LOSS INSURANCE MARKET. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/64843
Chicago Manual of Style (16th Edition):
Xu, Kecheng. “MODELING OF NATURAL DISASTER CATASTROPHE LOSS INSURANCE MARKET.” 2018. Doctoral Dissertation, Cornell University. Accessed January 24, 2021.
http://hdl.handle.net/1813/64843.
MLA Handbook (7th Edition):
Xu, Kecheng. “MODELING OF NATURAL DISASTER CATASTROPHE LOSS INSURANCE MARKET.” 2018. Web. 24 Jan 2021.
Vancouver:
Xu K. MODELING OF NATURAL DISASTER CATASTROPHE LOSS INSURANCE MARKET. [Internet] [Doctoral dissertation]. Cornell University; 2018. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/1813/64843.
Council of Science Editors:
Xu K. MODELING OF NATURAL DISASTER CATASTROPHE LOSS INSURANCE MARKET. [Doctoral Dissertation]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/64843
Cornell University
10.
Romero, Natalia.
Investment Planning For Electric Power Systems To Mitigate Extreme Events.
Degree: PhD, Civil and Environmental Engineering, 2012, Cornell University
URL: http://hdl.handle.net/1813/31471
► My research has focused on two inter-related questions. First, how do we model the impacts of terrorism and earthquake events on electric power systems? Second,…
(more)
▼ My research has focused on two inter-related questions. First, how do we model the impacts of terrorism and earthquake events on electric power systems? Second, how might we optimize investments in these systems when there are limited resources? For intentional attack we model the interaction between the offender and the operator of the network where both parties have limited budgets and behave in their own selfinterest. The problem was formulated as a multi-level mixed-integer programming problem and we implemented a Tabu search with an embedded greedy algorithm to find the optimum defense strategy. We model the regional earthquake hazard using a four step process that included an optimization problem to select a small collection of events from a candidate set, including a probability of occurrence for each event that matches the hazard. Since electric power systems are spatially distributed, their performance is driven by the joint distribution for damage of the components. Hence we estimated this distribution by constructing a collection of consequence scenarios for each earthquake scenario, where each consequence scenario identifies the level of damage to each component. For each consequence scenario, we used an economic dispatch model to predict the load shed and repair costs throughout the repair process. We expanded the analysis of the power network under the seismic risk by modeling the additional impact of cascading outages and the consequences on the air passenger transportation system due to the interdependency of both networks. We formulated the problem of selecting seismic mitigation strategies to increase resilience of electric power system to earthquake hazards as a two-stage stochastic program. We develop a custom solution procedure which we show to be computationally effective for extremely large problem instances.
Advisors/Committee Members: Nozick, Linda K. (chair), Topaloglu, Huseyin (committee member), O'Rourke, Thomas Denis (committee member).
Subjects/Keywords: Electric Power; Decision Support System; Earthquake
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APA (6th Edition):
Romero, N. (2012). Investment Planning For Electric Power Systems To Mitigate Extreme Events. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/31471
Chicago Manual of Style (16th Edition):
Romero, Natalia. “Investment Planning For Electric Power Systems To Mitigate Extreme Events.” 2012. Doctoral Dissertation, Cornell University. Accessed January 24, 2021.
http://hdl.handle.net/1813/31471.
MLA Handbook (7th Edition):
Romero, Natalia. “Investment Planning For Electric Power Systems To Mitigate Extreme Events.” 2012. Web. 24 Jan 2021.
Vancouver:
Romero N. Investment Planning For Electric Power Systems To Mitigate Extreme Events. [Internet] [Doctoral dissertation]. Cornell University; 2012. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/1813/31471.
Council of Science Editors:
Romero N. Investment Planning For Electric Power Systems To Mitigate Extreme Events. [Doctoral Dissertation]. Cornell University; 2012. Available from: http://hdl.handle.net/1813/31471
Cornell University
11.
Kesete, Yohannes.
Managing Natural Disaster Risk Through Insurance.
Degree: PhD, Civil and Environmental Engineering, 2015, Cornell University
URL: http://hdl.handle.net/1813/40741
► This dissertation consists of three articles. The first introduces a new modeling framework to help understand and manage primary insurers' roles in catastrophe risk management.…
(more)
▼ This dissertation consists of three articles. The first introduces a new modeling framework to help understand and manage primary insurers' roles in catastrophe risk management. The framework includes a new game theoretic optimization model of primary insurer decisions that interacts with a utility-based homeowner decision model, and is integrated with a regional catastrophe loss estimation model. Reinsurer and government roles are represented as bounds on the insurer-insured interactions. The modeling framework can be used to explore two primary questions. First, how should insurers, using a credible assessment of natural disaster risk, optimize their catastrophe risk insurance-policy design, portfolio, and risktransfer decisions within a context defined by homeowners, reinsurers, and government agencies? Second, how do changes in the context affect insurers' ability to operate successfully? Specifically, it provides results that indicate, under equilibrium, the (1) primary insurers' optimal actions and outcomes, (2) homeowners' optimal actions and outcomes, (3) reinsurers' outcomes, and (4) loss distribution for each stakeholder. The second article, using survey data, explores the roles of prior disaster experience and risk perception on flood insurance purchase decision-making. The survey was administered by a computer-assisted telephone interviewing system in the eastern half of North Carolina. A structural equation model was built to understand the direct and indirect effects of different variables on one another and on flood insurance purchase decision-making. The article provides insight on the mediation effect of risk perception, by linking prior disaster experience to the undertaking of protective action. It also discusses the implications of this insight for designing effective risk communication tools, the timing of risk awareness campaigns, and the provision of affordable insurance policies. The third article, using the same survey data from the eastern half of North Carolina, investigates the relationship between self-insurance and market insurance. An ordered logistic model was developed by using revealed preferences about structural retrofit measures and standard homeowners' insurance deductible choices. The article shows that self-insurance and market insurance are substitutes and discusses the implications of this finding in terms of setting appropriate standard homeowners' premium and deductible values.
Advisors/Committee Members: Nozick,Linda K. (chair), Alvarez Daziano,Ricardo (committee member), O'Rourke,Thomas Denis (committee member).
Subjects/Keywords: Insurance; Risk perception; Optimization
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APA (6th Edition):
Kesete, Y. (2015). Managing Natural Disaster Risk Through Insurance. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/40741
Chicago Manual of Style (16th Edition):
Kesete, Yohannes. “Managing Natural Disaster Risk Through Insurance.” 2015. Doctoral Dissertation, Cornell University. Accessed January 24, 2021.
http://hdl.handle.net/1813/40741.
MLA Handbook (7th Edition):
Kesete, Yohannes. “Managing Natural Disaster Risk Through Insurance.” 2015. Web. 24 Jan 2021.
Vancouver:
Kesete Y. Managing Natural Disaster Risk Through Insurance. [Internet] [Doctoral dissertation]. Cornell University; 2015. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/1813/40741.
Council of Science Editors:
Kesete Y. Managing Natural Disaster Risk Through Insurance. [Doctoral Dissertation]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/40741
Cornell University
12.
Li, Chunying.
Strategic Planning For Shelter Locations And Transportation Under Hurricane Conditions.
Degree: PhD, Civil and Environmental Engineering, 2011, Cornell University
URL: http://hdl.handle.net/1813/30625
► Responding to hurricanes is an exceedingly complex task whose effectiveness can significantly influence the final impact of a hurricane. Despite a lot of progress, recent…
(more)
▼ Responding to hurricanes is an exceedingly complex task whose effectiveness can significantly influence the final impact of a hurricane. Despite a lot of progress, recent events and unchecked population growth in hurricane-prone regions make it clear that having appropriate shelter options and shelter evacuation plans is very important. This research proposes a scenario-based shelter location model that identifies a set of shelter locations to maintain over time. These locations are chosen such that they are robust across a range of major hurricane events. This model considers the influence of changing the selection of shelter locations on drivers' route choice behavior and the resulting traffic congestion. The problem is formulated as a two-stage stochastic bilevel programming model where the evacuees' route choice follows dynamic user equilibrium (DUE). Aiming for large-scale realistic applications, a heuristic approach is developed to efficiently solve the formulation. A case study in the state of North Carolina is presented to illustrate the applicability and efficacy of the proposed model formulation and solution approach.
Advisors/Committee Members: Nozick, Linda K. (chair), O'Rourke, Thomas Denis (committee member), Gao, Huaizhu (committee member).
Subjects/Keywords: hurricane evacuation; dynamic traffic assignment; public shelter
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APA (6th Edition):
Li, C. (2011). Strategic Planning For Shelter Locations And Transportation Under Hurricane Conditions. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/30625
Chicago Manual of Style (16th Edition):
Li, Chunying. “Strategic Planning For Shelter Locations And Transportation Under Hurricane Conditions.” 2011. Doctoral Dissertation, Cornell University. Accessed January 24, 2021.
http://hdl.handle.net/1813/30625.
MLA Handbook (7th Edition):
Li, Chunying. “Strategic Planning For Shelter Locations And Transportation Under Hurricane Conditions.” 2011. Web. 24 Jan 2021.
Vancouver:
Li C. Strategic Planning For Shelter Locations And Transportation Under Hurricane Conditions. [Internet] [Doctoral dissertation]. Cornell University; 2011. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/1813/30625.
Council of Science Editors:
Li C. Strategic Planning For Shelter Locations And Transportation Under Hurricane Conditions. [Doctoral Dissertation]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/30625
Cornell University
13.
Reilly, Allison.
Game Theory Based Identification Of Facility Use Prohibitions For The Movement Of Hazardous Materials Under Terrorist Threat.
Degree: PhD, Civil and Environmental Engineering, 2011, Cornell University
URL: http://hdl.handle.net/1813/29193
► The modeling tools that have been developed over the last 25 years for the identification of routes for hazmat shipments emphasize the tradeoffs between cost…
(more)
▼ The modeling tools that have been developed over the last 25 years for the identification of routes for hazmat shipments emphasize the tradeoffs between cost minimization to the shipper/carrier and controlling the "natural" consequences that would stem from an accident. As the terrorist threat has grown, it has become clear that a new perspective, which allows for the representation of the goals and activities of terrorists, must be incorporated into these routing models. Government agencies can determine which specific facilities to restrict for each class of material and for which times of the day and/or week. This paper develops a mathematical model of a threeplayer game to represent the interactions among government agencies a shipper and terrorists as a framework for the analysis. It also develops an effective solution procedure for this game and illustrates the use of that procedure on a realistic case study.
Advisors/Committee Members: Nozick, Linda K. (chair), O'Rourke, Thomas Denis (committee member), Gao, Huaizhu (committee member).
Subjects/Keywords: hazardous materials; routing; game theory
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APA (6th Edition):
Reilly, A. (2011). Game Theory Based Identification Of Facility Use Prohibitions For The Movement Of Hazardous Materials Under Terrorist Threat. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/29193
Chicago Manual of Style (16th Edition):
Reilly, Allison. “Game Theory Based Identification Of Facility Use Prohibitions For The Movement Of Hazardous Materials Under Terrorist Threat.” 2011. Doctoral Dissertation, Cornell University. Accessed January 24, 2021.
http://hdl.handle.net/1813/29193.
MLA Handbook (7th Edition):
Reilly, Allison. “Game Theory Based Identification Of Facility Use Prohibitions For The Movement Of Hazardous Materials Under Terrorist Threat.” 2011. Web. 24 Jan 2021.
Vancouver:
Reilly A. Game Theory Based Identification Of Facility Use Prohibitions For The Movement Of Hazardous Materials Under Terrorist Threat. [Internet] [Doctoral dissertation]. Cornell University; 2011. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/1813/29193.
Council of Science Editors:
Reilly A. Game Theory Based Identification Of Facility Use Prohibitions For The Movement Of Hazardous Materials Under Terrorist Threat. [Doctoral Dissertation]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/29193
Cornell University
14.
Dong, Zhijie.
Efficient Design Of Inbound Logistics Networks.
Degree: PhD, Civil and Environmental Engineering, 2015, Cornell University
URL: http://hdl.handle.net/1813/41054
► Logistics is a vitally important part of the economy, and it is now a $1.45 trillion industry in the United States representing 8.3 percent of…
(more)
▼ Logistics is a vitally important part of the economy, and it is now a $1.45 trillion industry in the United States representing 8.3 percent of GDP. Efficient design of routes and schedules for moving materials into manufacturing or assembly plants is a central part of inbound logistics operations. This dissertation builds on elements of traditional vehicle routing as well as broader elements of logistics planning. At the core of the process is a mathematical optimization termed capacitated clustering. Two major categories of suppliers are analyzed in this research. The first supplier category includes suppliers with small quantities of materials, so daily pickups may not be required. A new approach is proposed that considers pick-up frequency and spatial design as joint decisions to minimize total logistics (transportation plus inventory) cost. The clustering-based optimization uses an approximation to the actual cost of a routing solution without actual route construction. The problem is shown to be analogous to a single-source fixed-charge facility location problem, and near-optimal solutions can be found using an efficient heuristic algorithm. Computational experiments show the effectiveness of how this model is formulated and a case study demonstrates that substantial total cost savings can be achieved in realistic applications. A second category of suppliers ships moderately large volumes to a single plant but not enough to fill a truck themselves. One commonly used process is to have plant- based collection routes on a daily basis that stop at multiple suppliers and return to the plant. The model developed here is formulated as a two-stage stochastic program, which includes uncertainty in the load quantities at suppliers and controls (either penalties or constraints) designed to improve the "regularity" of service to individual suppliers. Two adaptive decomposition heuristics are explored for solving the stochastic program in large scale, integer L-shaped method (ILSM) and progressive hedging (PH). An application to logistics operations in the automotive industry is used to demonstrate the effectiveness of the model and the PH solution method.
Advisors/Committee Members: Turnquist,Mark Alan (chair), Topaloglu,Huseyin (committee member), Nozick,Linda K. (committee member).
Subjects/Keywords: inbound logistics; network design; capacitated clustering
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APA (6th Edition):
Dong, Z. (2015). Efficient Design Of Inbound Logistics Networks. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/41054
Chicago Manual of Style (16th Edition):
Dong, Zhijie. “Efficient Design Of Inbound Logistics Networks.” 2015. Doctoral Dissertation, Cornell University. Accessed January 24, 2021.
http://hdl.handle.net/1813/41054.
MLA Handbook (7th Edition):
Dong, Zhijie. “Efficient Design Of Inbound Logistics Networks.” 2015. Web. 24 Jan 2021.
Vancouver:
Dong Z. Efficient Design Of Inbound Logistics Networks. [Internet] [Doctoral dissertation]. Cornell University; 2015. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/1813/41054.
Council of Science Editors:
Dong Z. Efficient Design Of Inbound Logistics Networks. [Doctoral Dissertation]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/41054
Cornell University
15.
Legg, Meredith.
Resource Allocation For Regional Hurricane Mitigation Planning.
Degree: PhD, Civil and Environmental Engineering, 2011, Cornell University
URL: http://hdl.handle.net/1813/29420
► This dissertation introduces a linear program to help guide optimal expenditure of government spending for regional hurricane risk management and to provide insight into some…
(more)
▼ This dissertation introduces a linear program to help guide optimal expenditure of government spending for regional hurricane risk management and to provide insight into some of the complexities involved in designing and prioritizing regional mitigation policies and programs. Specifically, it aims to help answer the questions: (1) How much should be spent on mitigation and acquisition?; (2) What will the return on that investment be?; and (3) How should mitigation funds be spent (i.e., which buildings should be mitigated, how, and when)? The model considers damage from both high winds and storm surge flooding; includes a detailed assessment of the actual risk using a carefully selected set of hurricane scenarios to represent the regional hazard and a component-based damage model; and considers physically realistic mitigation strategies. A heuristic algorithm was developed to solve it for real, regional applications. A case study for residential woodframe buildings in Eastern North Carolina is presented. The case study suggests that spending on pre- and post-event mitigation and acquisition are all cost-beneficial to a point; if funds are spent systematically, much of the benefit can be obtained with a relatively small investment; and in just 30 years, the investment can reduce annual expected reconstruction expenditures substantially, a benefit that would continue into the future. The case study also suggests spending on a range of mitigation strategy types; that it is best to spend mitigation funds as early as possible, where the hazard is highest (i.e. along the coast line); and that strategies affecting combinations of building components can be most cost-beneficial.
Advisors/Committee Members: Nozick, Linda K. (chair), Gao, Huaizhu (committee member), O'Rourke, Thomas Denis (committee member).
Subjects/Keywords: hurricane; mitigation; resource allocation; optimization
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APA (6th Edition):
Legg, M. (2011). Resource Allocation For Regional Hurricane Mitigation Planning. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/29420
Chicago Manual of Style (16th Edition):
Legg, Meredith. “Resource Allocation For Regional Hurricane Mitigation Planning.” 2011. Doctoral Dissertation, Cornell University. Accessed January 24, 2021.
http://hdl.handle.net/1813/29420.
MLA Handbook (7th Edition):
Legg, Meredith. “Resource Allocation For Regional Hurricane Mitigation Planning.” 2011. Web. 24 Jan 2021.
Vancouver:
Legg M. Resource Allocation For Regional Hurricane Mitigation Planning. [Internet] [Doctoral dissertation]. Cornell University; 2011. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/1813/29420.
Council of Science Editors:
Legg M. Resource Allocation For Regional Hurricane Mitigation Planning. [Doctoral Dissertation]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/29420
Cornell University
16.
Argyrou, Christina.
PIPELINE RESPONSE TO EARTHQUAKE-INDUCED GROUND DEFORMATION.
Degree: PhD, Civil and Environmental Engineering, 2018, Cornell University
URL: http://hdl.handle.net/1813/59321
► The primary focus of this thesis is the evaluation through experimental and numerical investigations of pipeline performance under earthquake-induced ground deformation. This kind of deformation…
(more)
▼ The primary focus of this thesis is the evaluation through experimental and numerical investigations of pipeline performance under earthquake-induced ground deformation. This kind of deformation is associated with soil liquefaction, landslides, fault rupture, tectonic uplift and subsidence and settlement of loose granular soils. A large part of this thesis involves the earthquake response of pipelines with defects, e.g., cracks and/or leaking joints, rehabilitated with cured-in-place linings (CIPLs). The thesis begins with the description of a series of full-scale static and dynamic axial tension tests to characterize the tensile capacity of CIPL-reinforced pipelines. The CIPL de-bonding is of great importance for the accommodation of tensile deformation. The amount of CIPL de-bonding is a function of the CIPL properties (i.e. stiffness, tensile strength) with respect to the pipe/CIPL interface bond strength, which increases with increasing internal pressure. A one-dimensional finite element model is developed that accounts for the CIPL de-bonding mechanism as a Mode II fracture propagation phenomenon, including the enhanced pipe/CIPL interface strength in the presence of internal pressure. Seismic wave interaction with CIPL-reinforced pipelines subjects them to alternating tension and compression as the waves propagate through the ground. The combinations of ground velocity amplitude and pulse period that cause lining deformation are evaluated through analytical models of seismic wave/pipeline interaction and finite element simulations. CIPL-strengthened pipeline response to permanent ground deformation was also investigated through large-scale fault rupture experiments and numerical simulations. Fault rupture test results on pipelines with CIPLs are presented and compared with test results on unlined pipelines, to assess the effectiveness of the CIPLs for seismic retrofit. The results of the numerical model developed in this work that accounts for de-bonding between the lining and pipe as Mode II fracture propagation are in good agreement with full-scale fault rupture test results. The thesis also includes a comprehensive evaluation of ductile iron (DI) pipeline response to earthquake-induced ground deformation through the results of a large-scale testing program, including a fault rupture test on a 150-mm DI pipeline with restrained axial slip joints. Three different types of DI joints are considered in this study: push-on, restrained, and restrained axial slip joints, which are often referred to as hazard-resilient joints. A series of axial tension, axial compression, four-point bending and ground rupture test results conducted on DI jointed pipes are used to identify the limit states associated with DI joint performance. A two-dimensional finite element model accounting for (i) coupled shear/normal forces to the pipeline and (ii) bell resistance to movement, validated against large-scale fault rupture test results, is used for the quantification of the DI pipeline performance under strike-slip faulting…
Advisors/Committee Members: O'Rourke, Thomas Denis (chair), Nozick, Linda K. (committee member), Stewart, Harry Eaton (committee member), Grigoriu, Mircea Dan (committee member).
Subjects/Keywords: Finite Element Modeling; cured-in-place linings; pipelines; seismic retrofit; soil-pipeline interaction; Civil engineering
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APA (6th Edition):
Argyrou, C. (2018). PIPELINE RESPONSE TO EARTHQUAKE-INDUCED GROUND DEFORMATION. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/59321
Chicago Manual of Style (16th Edition):
Argyrou, Christina. “PIPELINE RESPONSE TO EARTHQUAKE-INDUCED GROUND DEFORMATION.” 2018. Doctoral Dissertation, Cornell University. Accessed January 24, 2021.
http://hdl.handle.net/1813/59321.
MLA Handbook (7th Edition):
Argyrou, Christina. “PIPELINE RESPONSE TO EARTHQUAKE-INDUCED GROUND DEFORMATION.” 2018. Web. 24 Jan 2021.
Vancouver:
Argyrou C. PIPELINE RESPONSE TO EARTHQUAKE-INDUCED GROUND DEFORMATION. [Internet] [Doctoral dissertation]. Cornell University; 2018. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/1813/59321.
Council of Science Editors:
Argyrou C. PIPELINE RESPONSE TO EARTHQUAKE-INDUCED GROUND DEFORMATION. [Doctoral Dissertation]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/59321
Cornell University
17.
Chiew, Woon Lyn Esther.
Confidence Intervals For Willingness-To-Pay And Beyond: A Comparative Analysis.
Degree: PhD, Civil and Environmental Engineering, 2015, Cornell University
URL: http://hdl.handle.net/1813/39428
► The aim of this research is to investigate and develop methods for building confidence intervals (CIs) for parameter functions of discrete choice models, with a…
(more)
▼ The aim of this research is to investigate and develop methods for building confidence intervals (CIs) for parameter functions of discrete choice models, with a special focus on the CIs for willingness-to-pay measures. CIs are more than simply statistical measures. Rather, they are a convenient and easily understood means by which the variability of a parameter or sample statistic can be reported, especially because they can be presented graphically. CIs should be reported for all random statistics, and especially so in applied work where one cannot assume that the estimated parameter would exactly equal the true (unknown) parameter. Yet, when presenting willingness-to-pay values, the CIs are often neglected. This is partially because building CIs for willingness-topay values is not a trivial task, due to the possibility of discontinuity in the willingness-to-pay measure and its unknown probability distribution a priori. In addition, the methods used to build these intervals are debated greatly, with no consensus as to the best method to use. This research consolidates the contradictory results and presents reasons for the disparity currently present in the literature. It also extends the work of building CIs beyond willingness-to-pay measures to other parameter functions; in particular, this research demonstrates how CIs can be built for the probability that an airline passenger cancels his ticket. The methods of building CIs are studied using Monte Carlo simulations and case studies. Results indicate that when sample sizes or the price parameter is large (i.e. there are fewer chances for discontinuity to occur), all the preference space methods studied work equally well. However, under weak identification (when the price parameter is small), the Fieller method performs best. Hence, in general, the Fieller method should be the preferred method for building CIs for willingness-to-pay values. This research also proposes the use of the Bayesian post-processing method to build CIs. This method, though a viable option, is not often discussed. The Bayesian method also has an edge over the other methods studied for several reasons, including the ease of constructing individual CIs and the ability to incorporate factors such as historical data into the model.
Advisors/Committee Members: Alvarez Daziano, Ricardo (chair), Li, Shanjun (committee member), Topaloglu, Huseyin (committee member), Nozick, Linda K. (committee member).
Subjects/Keywords: Confidence Intervals; Discrete Choice; Airline Cancellation
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APA (6th Edition):
Chiew, W. L. E. (2015). Confidence Intervals For Willingness-To-Pay And Beyond: A Comparative Analysis. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/39428
Chicago Manual of Style (16th Edition):
Chiew, Woon Lyn Esther. “Confidence Intervals For Willingness-To-Pay And Beyond: A Comparative Analysis.” 2015. Doctoral Dissertation, Cornell University. Accessed January 24, 2021.
http://hdl.handle.net/1813/39428.
MLA Handbook (7th Edition):
Chiew, Woon Lyn Esther. “Confidence Intervals For Willingness-To-Pay And Beyond: A Comparative Analysis.” 2015. Web. 24 Jan 2021.
Vancouver:
Chiew WLE. Confidence Intervals For Willingness-To-Pay And Beyond: A Comparative Analysis. [Internet] [Doctoral dissertation]. Cornell University; 2015. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/1813/39428.
Council of Science Editors:
Chiew WLE. Confidence Intervals For Willingness-To-Pay And Beyond: A Comparative Analysis. [Doctoral Dissertation]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/39428
18.
Wang, Hao.
MODELING OCEAN, RAIL AND TRUCK TRANSPORTATION FLOWS TO SUPPORT POLICY ANALYSIS.
Degree: PhD, Civil and Environmental Engineering, 2018, Cornell University
URL: http://hdl.handle.net/1813/59776
► Freight transportation represents about 9.5% of GDP in the U.S., it is responsible for about 8% of greenhouse gas emissions and supports the import and…
(more)
▼ Freight transportation represents about 9.5% of GDP in the U.S., it is responsible for about 8% of greenhouse gas emissions and supports the import and export of about 3.6 trillion in international trade. It is therefore important that the national freight transportation system is designed and operated efficiently. Hence, this dissertation develops a mathematical model to estimate international and domestic freight flows across the ocean, rail and truck modes, which can be used to study the impacts of changes in our infrastructure, as well as the imposition of new user fees and changes in operating policies. The model integrates a user equilibrium-based logit argument for path selection with a system-optimal argument for rail network operations. This leads to the development of a unique solution procedure that is demonstrated in a large-scale analysis focused on all intercity freight and U.S export/import containerized freight. The model results are compared with the reported flow volumes. The model is applied to two case studies: (1) a disruption of the seaports of Los Angeles and Long Beach (LA and LB) similar to the impacts that would be felt in an earthquake; and (2) implementation of new user fees at the California ports.
Advisors/Committee Members: Nozick, Linda K. (chair), Gao, Huaizhu (committee member), Alvarez Daziano, Ricardo (committee member).
Subjects/Keywords: Operations research; Bi-level model; Logistics costs; Mode selection; Multi-model Freight Transportation; Port disruption; Rail Transportation; Transportation
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APA ·
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Export
to Zotero / EndNote / Reference
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APA (6th Edition):
Wang, H. (2018). MODELING OCEAN, RAIL AND TRUCK TRANSPORTATION FLOWS TO SUPPORT POLICY ANALYSIS. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/59776
Chicago Manual of Style (16th Edition):
Wang, Hao. “MODELING OCEAN, RAIL AND TRUCK TRANSPORTATION FLOWS TO SUPPORT POLICY ANALYSIS.” 2018. Doctoral Dissertation, Cornell University. Accessed January 24, 2021.
http://hdl.handle.net/1813/59776.
MLA Handbook (7th Edition):
Wang, Hao. “MODELING OCEAN, RAIL AND TRUCK TRANSPORTATION FLOWS TO SUPPORT POLICY ANALYSIS.” 2018. Web. 24 Jan 2021.
Vancouver:
Wang H. MODELING OCEAN, RAIL AND TRUCK TRANSPORTATION FLOWS TO SUPPORT POLICY ANALYSIS. [Internet] [Doctoral dissertation]. Cornell University; 2018. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/1813/59776.
Council of Science Editors:
Wang H. MODELING OCEAN, RAIL AND TRUCK TRANSPORTATION FLOWS TO SUPPORT POLICY ANALYSIS. [Doctoral Dissertation]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/59776
19.
Wang, Boyu.
Alternative Truck Technology: Strategy And Policy Research Base On Multi-stage Stochastic Programming.
Degree: M.S., Civil and Environmental Engineering, Civil and Environmental Engineering, 2017, Cornell University
URL: http://hdl.handle.net/1813/47828
► A multi-stage stochastic programming model is formulated to provide suggestions for logistics companies in purchasing and selling truck fleet inventory. To deal with the uncertain…
(more)
▼ A multi-stage stochastic programming model is formulated to provide suggestions for logistics companies in purchasing and selling truck fleet inventory. To deal with the uncertain nature of several parameters such as productivity, scenario-based nonanticipativity constraints are introduced. Further, this study presents computational results of a specific case to check feasibility of the model, using cplex optimization package in AMPL. To discuss the function of several current policies, more cases are constructed and solved. This study makes corresponding suggestions concerning new energy vehicle incentive according to model solutions. Currently there is little incentive to purchase electric trucks (E-trucks), but under certain policies such as rebate, E-trucks are strongly favored.
Advisors/Committee Members: Nozick, Linda K. (chair), Topaloglu, Huseyin (committee member), Loucks, Daniel Peter (committee member).
Subjects/Keywords: Electric Truck; Logistics; Multi-stage Stochastic Programming; New Energy Vehicle Incentive Policy; Supply Chain; Transportation; Civil engineering
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APA (6th Edition):
Wang, B. (2017). Alternative Truck Technology: Strategy And Policy Research Base On Multi-stage Stochastic Programming. (Masters Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/47828
Chicago Manual of Style (16th Edition):
Wang, Boyu. “Alternative Truck Technology: Strategy And Policy Research Base On Multi-stage Stochastic Programming.” 2017. Masters Thesis, Cornell University. Accessed January 24, 2021.
http://hdl.handle.net/1813/47828.
MLA Handbook (7th Edition):
Wang, Boyu. “Alternative Truck Technology: Strategy And Policy Research Base On Multi-stage Stochastic Programming.” 2017. Web. 24 Jan 2021.
Vancouver:
Wang B. Alternative Truck Technology: Strategy And Policy Research Base On Multi-stage Stochastic Programming. [Internet] [Masters thesis]. Cornell University; 2017. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/1813/47828.
Council of Science Editors:
Wang B. Alternative Truck Technology: Strategy And Policy Research Base On Multi-stage Stochastic Programming. [Masters Thesis]. Cornell University; 2017. Available from: http://hdl.handle.net/1813/47828
20.
Gao, Jiyao.
Sustainable Design and Optimization of Shale Gas Energy Systems.
Degree: PhD, Chemical Engineering, 2018, Cornell University
URL: http://hdl.handle.net/1813/59705
► This dissertation centers on the sustainable design and optimization of shale gas energy systems with mathematical programming models and tailored solution algorithms. Specifically, three research…
(more)
▼ This dissertation centers on the sustainable design and optimization of shale gas energy systems with mathematical programming models and tailored solution algorithms. Specifically, three research aims are proposed. The first aim is developing integrated optimization models for the sustainable design and operations of shale gas energy systems, which covers three detailed projects. In the first related project, we propose an endpoint-oriented life cycle optimization framework to investigate the economic and environmental implications of incorporating modular manufacturing into shale gas supply chains. In the second project, we develop an integrated hybrid life cycle optimization (LCO) model, which enables automatic identification of sustainable alternatives in the design and operations of shale gas supply chains. In the third project, we propose a dynamic MFA-based LCO framework that provides high-fidelity modeling of complex material flow networks with recycling options and enables detailed accounting of time-dependent life cycle material flow profiles. The second aim centers on hedging against uncertainty in the shale gas energy system with special focus on data-driven stochastic optimization approach. In the corresponding project, we address the optimal design and operations of shale gas supply chains under uncertainty of estimated ultimate recovery (EUR). The third aim addresses the modeling and optimization of decentralized shale gas energy systems. We propose a novel game-theory-based stochastic model that integrates two-stage stochastic programming with a single-leader-multiple-follower Stackelberg game scheme for optimizing decentralized supply chains under uncertainty.
Advisors/Committee Members: You, Fengqi (chair), Nozick, Linda K. (committee member), Tester, Jefferson William (committee member).
Subjects/Keywords: Game theory; Chemical engineering; Operations research; Optimization; Shale gas; Supply Chain; uncertainty; sustainability
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APA (6th Edition):
Gao, J. (2018). Sustainable Design and Optimization of Shale Gas Energy Systems. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/59705
Chicago Manual of Style (16th Edition):
Gao, Jiyao. “Sustainable Design and Optimization of Shale Gas Energy Systems.” 2018. Doctoral Dissertation, Cornell University. Accessed January 24, 2021.
http://hdl.handle.net/1813/59705.
MLA Handbook (7th Edition):
Gao, Jiyao. “Sustainable Design and Optimization of Shale Gas Energy Systems.” 2018. Web. 24 Jan 2021.
Vancouver:
Gao J. Sustainable Design and Optimization of Shale Gas Energy Systems. [Internet] [Doctoral dissertation]. Cornell University; 2018. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/1813/59705.
Council of Science Editors:
Gao J. Sustainable Design and Optimization of Shale Gas Energy Systems. [Doctoral Dissertation]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/59705
Cornell University
21.
Motoaki, Yutaka.
Time-Series Analysis Of Bicycle Count Data.
Degree: M.S., Civil and Environmental Engineering, Civil and Environmental Engineering, 2015, Cornell University
URL: http://hdl.handle.net/1813/39437
Subjects/Keywords: Bicycle; Forecast
Record Details
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Record Details
Similar Records
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Motoaki, Y. (2015). Time-Series Analysis Of Bicycle Count Data. (Masters Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/39437
Chicago Manual of Style (16th Edition):
Motoaki, Yutaka. “Time-Series Analysis Of Bicycle Count Data.” 2015. Masters Thesis, Cornell University. Accessed January 24, 2021.
http://hdl.handle.net/1813/39437.
MLA Handbook (7th Edition):
Motoaki, Yutaka. “Time-Series Analysis Of Bicycle Count Data.” 2015. Web. 24 Jan 2021.
Vancouver:
Motoaki Y. Time-Series Analysis Of Bicycle Count Data. [Internet] [Masters thesis]. Cornell University; 2015. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/1813/39437.
Council of Science Editors:
Motoaki Y. Time-Series Analysis Of Bicycle Count Data. [Masters Thesis]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/39437
Cornell University
22.
Beheshtian, Arash.
Planning Resilient Infrastructure.
Degree: PhD, City and Regional Planning, 2016, Cornell University
URL: http://hdl.handle.net/1813/45098
Subjects/Keywords: Resilience; Infrastructures; Extreme events
Record Details
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Record Details
Similar Records
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« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Beheshtian, A. (2016). Planning Resilient Infrastructure. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/45098
Chicago Manual of Style (16th Edition):
Beheshtian, Arash. “Planning Resilient Infrastructure.” 2016. Doctoral Dissertation, Cornell University. Accessed January 24, 2021.
http://hdl.handle.net/1813/45098.
MLA Handbook (7th Edition):
Beheshtian, Arash. “Planning Resilient Infrastructure.” 2016. Web. 24 Jan 2021.
Vancouver:
Beheshtian A. Planning Resilient Infrastructure. [Internet] [Doctoral dissertation]. Cornell University; 2016. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/1813/45098.
Council of Science Editors:
Beheshtian A. Planning Resilient Infrastructure. [Doctoral Dissertation]. Cornell University; 2016. Available from: http://hdl.handle.net/1813/45098
. 
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