{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/44364"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/44364","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Examining changes in transit passenger travel behavior through a Smart Card activity analysis","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.","abstract_html":"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.","abstract_has_math":false,"creators":["Mojica, Carlos H"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Dept. of Urban Studies and Planning.","school":null,"contributors":[],"advisors":["Mikel Murga."],"committee_chairs":[],"committee_members":[],"year":2008,"date_issued":"2008","date_published":"2008","updated_at":"2026-07-22T22:22:00Z","subjects":["Urban Studies and Planning.","Civil and Environmental Engineering."],"languages":["eng"],"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."],"rights_urls":["http://dspace.mit.edu/handle/1721.1/7582"],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/1721.1/44364","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Mikel Murga."]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. Dept. of Urban Studies and Planning.","Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering."]},{"key":"dc:contributor.other","label":"Dc Contributor Other","values":["Massachusetts Institute of Technology. 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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."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["S.M.in Transportation","M.C.P."]},{"key":"dc:title","label":"Title","values":["Examining changes in transit passenger travel behavior through a Smart Card activity analysis"]}]}],"canonical_facts":{"dc:contributor.advisor":["Mikel Murga."],"dc:contributor.department":["Massachusetts Institute of Technology. Dept. of Urban Studies and Planning.","Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering."],"dc:contributor.other":["Massachusetts Institute of Technology. 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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."],"dc:description.degree":["S.M.in Transportation","M.C.P."],"dc:identifier.uri":["http://hdl.handle.net/1721.1/44364"],"dc:language.iso":["eng"],"dc:publisher":["Massachusetts Institute of Technology"],"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. 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