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You searched for +publisher:"University of Texas – Austin" +contributor:("Boyles, Steve"). Showing records 1 – 4 of 4 total matches.

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University of Texas – Austin

1. Yu, Yao, Ph. D. Using real time traveler demand data to optimize commuter rail feeder systems.

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

 Commuter rail systems, operating on unused or under-used railroad rights-of-way, are being introduced into many urban transportation systems. Since locations of available rail rights-of-way were… (more)

Subjects/Keywords: Commuter rail; Circulator; Real-time operation; Route design; Adaptive Tabu Search

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

APA (6th Edition):

Yu, Yao, P. D. (2012). Using real time traveler demand data to optimize commuter rail feeder systems. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2012-08-6026

Chicago Manual of Style (16th Edition):

Yu, Yao, Ph D. “Using real time traveler demand data to optimize commuter rail feeder systems.” 2012. Doctoral Dissertation, University of Texas – Austin. Accessed November 29, 2020. http://hdl.handle.net/2152/ETD-UT-2012-08-6026.

MLA Handbook (7th Edition):

Yu, Yao, Ph D. “Using real time traveler demand data to optimize commuter rail feeder systems.” 2012. Web. 29 Nov 2020.

Vancouver:

Yu, Yao PD. Using real time traveler demand data to optimize commuter rail feeder systems. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2012. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/2152/ETD-UT-2012-08-6026.

Council of Science Editors:

Yu, Yao PD. Using real time traveler demand data to optimize commuter rail feeder systems. [Doctoral Dissertation]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/ETD-UT-2012-08-6026


University of Texas – Austin

2. Astroza, Sebastian. Flexible multiple discrete-continuous choice structures and mixed modeling.

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

 In Multiple discrete-continuous (MDC) choice situations, consumers choose one or more alternatives from a set of alternatives jointly with the amount of the chosen alternative… (more)

Subjects/Keywords: Discrete choice; Multiple discrete-continuous model; Response heterogeneity; Generalized heterogeneous data model; Skew normal distribution

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APA (6th Edition):

Astroza, S. (2018). Flexible multiple discrete-continuous choice structures and mixed modeling. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68734

Chicago Manual of Style (16th Edition):

Astroza, Sebastian. “Flexible multiple discrete-continuous choice structures and mixed modeling.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed November 29, 2020. http://hdl.handle.net/2152/68734.

MLA Handbook (7th Edition):

Astroza, Sebastian. “Flexible multiple discrete-continuous choice structures and mixed modeling.” 2018. Web. 29 Nov 2020.

Vancouver:

Astroza S. Flexible multiple discrete-continuous choice structures and mixed modeling. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2018. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/2152/68734.

Council of Science Editors:

Astroza S. Flexible multiple discrete-continuous choice structures and mixed modeling. [Doctoral Dissertation]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/68734

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

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

 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)

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

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

APA (6th 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 (16th Edition):

Sidharthan, Raghuprasad. “On the estimation and application of flexible unordered spatial discrete choice models.” 2012. Doctoral Dissertation, University of Texas – Austin. Accessed November 29, 2020. http://hdl.handle.net/2152/19561.

MLA Handbook (7th Edition):

Sidharthan, Raghuprasad. “On the estimation and application of flexible unordered spatial discrete choice models.” 2012. Web. 29 Nov 2020.

Vancouver:

Sidharthan R. On the estimation and application of flexible unordered spatial discrete choice models. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2012. [cited 2020 Nov 29]. 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

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

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

 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)

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

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

APA (6th 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 (16th Edition):

Castro, Marisol Andrea. “On generalizing the multiple discrete-continuous extreme value (MDCEV) model.” 2012. Doctoral Dissertation, University of Texas – Austin. Accessed November 29, 2020. http://hdl.handle.net/2152/19562.

MLA Handbook (7th Edition):

Castro, Marisol Andrea. “On generalizing the multiple discrete-continuous extreme value (MDCEV) model.” 2012. Web. 29 Nov 2020.

Vancouver:

Castro MA. On generalizing the multiple discrete-continuous extreme value (MDCEV) model. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2012. [cited 2020 Nov 29]. 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

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