Estimating demand for new modes of transportation using a context-aware stated preference survey
Name
925474968-MIT.pdf
Description
Full printable version
Size
12.08 MB
Format
Adobe PDF
Checksum (MD5)
beda6475284164f4c44e20052a4ed3e5
Author(s)
Cox, Nathanael Christopher James
Advisor(s)
Moshe Ben-Akiva.
Date Issued
2015
Publisher
Massachusetts Institute of Technology
Abstract
This thesis presents the design of a context-aware stated preference survey that will be used to estimate the demand for new transportation modes and services. It builds on the Future Mobility Survey, a smartphone-based prompted-recall survey that accurately gathers revealed preference information on respondents' travel patterns. By using this GPS data as the context for a hypothetical stated preference survey, we can present realistic travel scenarios to respondents that pivot off their actual behavior. The approach is the first of its kind to combine GPS and external data to generate hypothetical scenarios for a large number of modes. It does this by making use of freely available web services to gather information on travel times and distances on many modes, which then informs the presentation of these modes in the hypothetical scenario. The travel scenario is presented using a web interface that mimics trip-planning software, and the software can be readily applied across different cities and countries.
Description
Thesis: S.M. in Transportation, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2015.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 123-129).
Subjects
Civil and Environmental Engineering.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Terms of Use
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Persistent DSpace Link
