Intermodal passenger flows on London's public transport network : automated inference of full passenger journeys using fare-transaction and vehicle-location data

Thesis (M.C.P.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning; and, (S.M. in Transportation)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2012.

Bibliographic Details
Main Author: Gordon, Jason B. (Jason Benjamin)
Other Authors: Nigel H.M. Wilson, Harilaos Koutsopoulos and John P. Attanucci.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2013
Subjects:
Online Access:http://hdl.handle.net/1721.1/78242
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author Gordon, Jason B. (Jason Benjamin)
author2 Nigel H.M. Wilson, Harilaos Koutsopoulos and John P. Attanucci.
author_facet Nigel H.M. Wilson, Harilaos Koutsopoulos and John P. Attanucci.
Gordon, Jason B. (Jason Benjamin)
author_sort Gordon, Jason B. (Jason Benjamin)
collection MIT
description Thesis (M.C.P.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning; and, (S.M. in Transportation)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2012.
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spelling mit-1721.1/782422022-01-13T07:54:44Z Intermodal passenger flows on London's public transport network : automated inference of full passenger journeys using fare-transaction and vehicle-location data Automated inference of full passenger journeys using fare-transaction and vehicle-location data Gordon, Jason B. (Jason Benjamin) Nigel H.M. Wilson, Harilaos Koutsopoulos and John P. Attanucci. Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering. Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Massachusetts Institute of Technology. Department of Urban Studies and Planning Urban Studies and Planning. Civil and Environmental Engineering. Thesis (M.C.P.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning; and, (S.M. in Transportation)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2012. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (p. 147-155). Urban public transport providers have historically planned and managed their networks and services with limited knowledge of their customers' travel patterns. While ticket gates and bus fareboxes yield counts of passenger activity in specific stations and vehicles, the relationships between these transactions-the origins, interchanges, and destinations of individual passengers-have typically been acquired only through costly and therefore small and infrequent rider surveys. Building upon recent work on the utilization of automated fare-collection and vehicle-location systems for passenger-behavior analysis, this thesis presents methods for inferring the full journeys of all riders on a large public transport network. Using complete daily sets of data from London's Oyster farecard and iBus vehicle-location system, boarding and alighting times and locations are inferred for individual bus passengers, interchanges are inferred between passenger trips of various public modes, and full-journey origin-interchange-destination matrices are constructed, which include the estimated flows of non-farecard passengers. The outputs are validated against surveys and traditional origin-destination matrices, and the software implementation demonstrates that the procedure is efficient enough to be performed daily, enabling transport providers to observe travel behavior on all services at all times. by Jason B. Gordon. S.M.in Transportation M.C.P. 2013-03-28T18:25:35Z 2013-03-28T18:25:35Z 2012 2012 Thesis http://hdl.handle.net/1721.1/78242 830539087 eng 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. http://dspace.mit.edu/handle/1721.1/7582 155 p. application/pdf e-uk-en Massachusetts Institute of Technology
spellingShingle Urban Studies and Planning.
Civil and Environmental Engineering.
Gordon, Jason B. (Jason Benjamin)
Intermodal passenger flows on London's public transport network : automated inference of full passenger journeys using fare-transaction and vehicle-location data
title Intermodal passenger flows on London's public transport network : automated inference of full passenger journeys using fare-transaction and vehicle-location data
title_full Intermodal passenger flows on London's public transport network : automated inference of full passenger journeys using fare-transaction and vehicle-location data
title_fullStr Intermodal passenger flows on London's public transport network : automated inference of full passenger journeys using fare-transaction and vehicle-location data
title_full_unstemmed Intermodal passenger flows on London's public transport network : automated inference of full passenger journeys using fare-transaction and vehicle-location data
title_short Intermodal passenger flows on London's public transport network : automated inference of full passenger journeys using fare-transaction and vehicle-location data
title_sort intermodal passenger flows on london s public transport network automated inference of full passenger journeys using fare transaction and vehicle location data
topic Urban Studies and Planning.
Civil and Environmental Engineering.
url http://hdl.handle.net/1721.1/78242
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