Utilizing student schedule data to develop travel matrices for transit and pedestrian travel demand models

Author(s)Fisher, Benjamin S.
Date Accessioned2018-03-26T12:38:40Z
Date Available2018-03-26T12:38:40Z
Publication Date2017
SWORD Update2017-11-10T14:21:06Z
AbstractPersonal rapid transit (PRT) is one example of an automated public transit system used for distributing small groups of individuals throughout a defined area. When used in combination with the four-step travel demand modeling process, the origin-destination (OD) matrix developed in the research provides the framework for examining the viability of implementing PRT service on a university campus. The methodology uses institutionally provided data to estimate demand for student trips throughout the workweek. Data includes student class schedules as well as the supply of on-campus residences and parking spaces. ☐ A case study is modeled around the student population attending the University of Delaware’s Newark Campus, under the assumption of a fixed schedule for the duration of the semester. The case study operates using several assumptions: trips and events occur between fixed time intervals, all trips are conducted with the same degree of importance, and all trips are conducted in a similar manner regardless of surrounding conditions. Recommendations for future research include expansion of the population to include university faculty and staff, inclusion of nearby activities as potential trip locations, consideration of trip purpose, and integration with travel demand modeling software.en_US
AdvisorLee, Earl E., II
DegreeM.C.E.
DepartmentUniversity of Delaware, Department of Civil Engineering
Unique Identifier1029547329
URLhttp://udspace.udel.edu/handle/19716/23115
Languageen
PublisherUniversity of Delawareen_US
URIhttps://search.proquest.com/docview/1972851196?accountid=10457
KeywordsApplied sciencesen_US
KeywordsSocial sciencesen_US
KeywordsPersonal rapid transiten_US
KeywordsTravel demand modelen_US
KeywordsTravel matrixen_US
TitleUtilizing student schedule data to develop travel matrices for transit and pedestrian travel demand modelsen_US
TypeThesisen_US
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