Mitigation of passenger effects of state of good repair projects using automated data sources

Legacy urban rail transit systems in North America increasingly face challenges in maintaining their infrastructure to provide reliable, effective, and safe service and absorb future growth in cities, which makes scheduled service disruptions to implement State of Good Repair (SGR) projects imminent. Mitigating the impacts of these disruptions on passengers is important in order to maintain transit ridership in the face of competing transportation network company services. Transit agencies have access to large amounts of passenger and vehicle location data, which provide valuable information regarding passenger travel patterns and service levels. This thesis presents a framework for incorporating passenger effects and their mitigation in planning for SGR project shutdowns using the data sources available to transit agencies, with relevant criteria for informing decisions proposed at each stage of the framework.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Urban Studies and Planning

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2019

Author dc:creator

• Bhosale, Mihir Ravindra.

Advisor dc:contributor.advisor

• Frederick P. Salvucci, Saeid Saidi, and Jinhua Zhao.

• Urban Studies and Planning.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/123904

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/123904