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Massachusetts Institute of Technology

Utilizing automatically collected data to infer travel behavior : a case study of the East London Line extension

Abstract

dc:description.abstract

Utilizing automatically collected data sources, this research strengthens the understanding of changes in user travel behavior caused by the introduction of the extended East London Line (ELL) into London's public transportation network. A recently developed method for inferring all Oyster users' origins and destinations on the public transportation system, and linking trip segments into full journeys, enables analysts to study the influence of a major capital investment on the larger public transportation network in great detail over a span of time and geography not available with traditional survey methods. Expanding an Oyster-based origin-destination matrix to represent all users provides estimates of overall ridership and passengers' travel patterns. Careful analysis of the usage of the rail line and other public transportation services in its vicinity provides a new method to infer the passenger demand generated by the new service. Through the creation of a large user panel (made up of over 54,000 Oyster users with active cards in April 2010 and who travelled on the ELL in October 2011), this thesis studies changes in journey frequency, travel time, journey distance, public transportation mode share, and access distance by comparing journeys made before and after the introduction of the extended ELL.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2012

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Muhs, Kevin J. (Kevin Joseph)
Advisor dc:contributor.advisor
  • Nigel H. M. Wilson and John P. Attanucci.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • 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.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/74272
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/74272

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Muhs, Kevin J. (Kevin Joseph). Utilizing automatically collected data to infer travel behavior : a case study of the East London Line extension. Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/74272