Mitigation of passenger effects of state of good repair projects using automated data sources
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2020
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| Online Access: | https://hdl.handle.net/1721.1/123904 |
| _version_ | 1826217543718666240 |
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| author | Bhosale, Mihir Ravindra. |
| author2 | Frederick P. Salvucci, Saeid Saidi, and Jinhua Zhao. |
| author_facet | Frederick P. Salvucci, Saeid Saidi, and Jinhua Zhao. Bhosale, Mihir Ravindra. |
| author_sort | Bhosale, Mihir Ravindra. |
| collection | MIT |
| description | This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. |
| first_indexed | 2024-09-23T17:05:21Z |
| format | Thesis |
| id | mit-1721.1/123904 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T17:05:21Z |
| publishDate | 2020 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1239042020-03-02T03:00:42Z Mitigation of passenger effects of state of good repair projects using automated data sources Bhosale, Mihir Ravindra. Frederick P. Salvucci, Saeid Saidi, and Jinhua Zhao. Massachusetts Institute of Technology. Department of Urban Studies and Planning. Massachusetts Institute of Technology. Department of Urban Studies and Planning Urban Studies and Planning. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Thesis: S.M. in Transportation, Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2019 Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 169-172). 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. The thesis focuses on passenger impact mitigation in two aspects: selection of work plan, and identification and planning of existing alternative services within the system. From passenger travel patterns, the effects of a shutdown can be gaged, and the impact can be quantified in terms of additional passenger hours. This measure would vary by time of day, day of week, and season, and can be used to determine a shutdown work plan which is less disruptive to passengers. For a particular shutdown plan, connectivity within the transit system implies that some passengers could benefit by using alternative services on existing routes instead of station-to-station bus shuttles. The proposed framework presents criteria for identifying such alternatives and passenger segments which could potentially benefit from them, assessing efficacy of the alternative service with respect to traditional bus shuttles, estimating operational requirements, and evaluating the mitigation benefit of an alternative. The implementation of the framework has been demonstrated for three case studies of recent shutdowns in the MBTA, using data sources available at the agency. Post-implementation evaluation of potential alternatives to shuttle service in two of these case studies shows substantial potential magnitudes of passenger benefit and proportion of passenger impact being mitigated. by Mihir Ravindra Bhosale. S.M. in Transportation S.M.inTransportation Massachusetts Institute of Technology, Department of Urban Studies and Planning 2020-02-28T20:50:20Z 2020-02-28T20:50:20Z 2019 2019 Thesis https://hdl.handle.net/1721.1/123904 1139524830 eng 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. http://dspace.mit.edu/handle/1721.1/7582 172 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Urban Studies and Planning. Bhosale, Mihir Ravindra. Mitigation of passenger effects of state of good repair projects using automated data sources |
| title | Mitigation of passenger effects of state of good repair projects using automated data sources |
| title_full | Mitigation of passenger effects of state of good repair projects using automated data sources |
| title_fullStr | Mitigation of passenger effects of state of good repair projects using automated data sources |
| title_full_unstemmed | Mitigation of passenger effects of state of good repair projects using automated data sources |
| title_short | Mitigation of passenger effects of state of good repair projects using automated data sources |
| title_sort | mitigation of passenger effects of state of good repair projects using automated data sources |
| topic | Urban Studies and Planning. |
| url | https://hdl.handle.net/1721.1/123904 |
| work_keys_str_mv | AT bhosalemihirravindra mitigationofpassengereffectsofstateofgoodrepairprojectsusingautomateddatasources |