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Massachusetts Institute of Technology

Examining changes in transit passenger travel behavior through a Smart Card activity analysis

Abstract

dc:description.abstract

Transit passenger behavior is an area of major interest for public transportation agencies. The relationship between ridership and maintenance projects, however, is unexplored but increasingly relevant in the era of aging infrastructure. This thesis bridges this gap by analyzing changes in Smart Card activity for a sample of rail commuters during a large scale maintenance project in Chicago. Results show that between 8% and 11% of the passengers used the bus system as a commuting alternative while the majority of them continued using the train under deteriorated service conditions. Comparisons to a control zone show that between 2% and 7% of the commuters did not use transit for their trips. Using the observed results, we model the shift from rail to bus using a binary logit model. Implications of the findings are discussed.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Dept. of Urban Studies and Planning.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2008

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Mojica, Carlos H
Advisor dc:contributor.advisor
  • Mikel Murga.

Subjects

dc:subject × 2

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/1721.1/44364
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/44364

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

Mojica, Carlos H. Examining changes in transit passenger travel behavior through a Smart Card activity analysis. Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/44364