This thesis presents a novel approach to evaluating intercity travel demand given the introduction of a new travel mode. A joint RP-SP survey is designed to collect both experienced and hypothetical travel decisions. The stated preference aspect of the survey evaluates the level-of-service attributes that influence intercity mode choice. Emphasis is placed on the effects of local accessibility by adapting a geographical disaggregation at the Forward Sortation Area (FSA). Survey distribution collected data primarily through the use of online social networks such as Facebook and Reddit in addition to an online marketing research survey panel. Intercity mode choice was modeled with Random Utility Maximizing (RUM) discrete choice models and is represented by Multinomial Logit (MNL) and Nested Logit (NL) choice structures. Key finding is that access to transit stations significantly influences intercity mode choices.
Identifer | oai:union.ndltd.org:TORONTO/oai:tspace.library.utoronto.ca:1807/43336 |
Date | 11 December 2013 |
Creators | Wong, Billy |
Contributors | Habib, Khandker |
Source Sets | University of Toronto |
Language | en_ca |
Detected Language | English |
Type | Thesis |
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