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Full text release has been delayed at the author's request until August 09, 2024

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Using APC Data to Investigate Changes in City-wide Transit Origin-Destination Flows from Deliberate Interventions or Exogenous Events

Ribeiro de Oliveira Galdino, Diego
http://rave.ohiolink.edu/etdc/view?acc_num=osu1652048454608908

Abstract Details

2022, Master of Science, Ohio State University, Civil Engineering.
Demand for public transportation varies as a result of endogenous factors – for example, changes in the transit service – or exogenous factors – for example, changes in the services of competing modes and a city’s overall activity system. As a result of Automatic Passenger Counting (APC) and Automatic Vehicle Location (AVL) technologies commonly implemented in bus transit systems, transit agencies can readily measure the realized bus transit demand in the form of boarding and alighting counts at every bus stop. Although meaningful, these ridership measures do not capture the passenger origin-destination (OD) flows along routes and across the network. OD flows are essential inputs to bus service planning, design, and operations. Methods to estimate stop-to-stop origin-destination flows from boarding and alighting passenger counts have been developed. The Iterative Proportional Fitting (IPF) method is an example of such a method that has been found to determine good estimates, is easily implementable, and is commonly used in practice. In this thesis a comprehensive and practical methodology is developed to estimate corridor- or city-wide zonal OD flow matrices using APC data. The IPF method is used to estimate passenger OD flow matrices at the bus trip level. The trip-level matrices are then aggregated and scaled (to account for only part of the bus fleet being equipped with APC technology) to develop OD flow matrices at the route level for a given time-of-day period, depending on whether the matrices reflect passenger boarding or alighting times in the time-of-day period. The route-level time-of-day matrices are further aggregated into zonal OD time-of-day flow matrices, indicating the number of passengers boarding in one geographic zone and alighting in the same or another geographic zone during the time-of-day period, regardless of the bus route traveled on. The methodology is illustrated through an empirical application to determine network-wide origin-destination (OD) zonal flows for the Central Ohio Transit Authority (COTA). To demonstrate the value of the outputs, the estimated zonal origin-destination flows are used to assess the impact of the COVID-19 pandemic on passenger demand to four major attraction zones in Columbus: the OSU campus zone, the Columbus downtown zone, the Polaris shopping area zone, and the Easton shopping area zone. Zonal OD patterns during pre-COVID months are compared to those during COVID months. Interpretations of the results highlight richness in the information output from the developed methodology.
Rabi Mishalani (Advisor)
Andre Carrel (Committee Member)
Mark McCord (Advisor)
88 p.
Civil Engineering; Transportation Planning

Recommended Citations

Citations

  • Ribeiro de Oliveira Galdino, D. (2022). Using APC Data to Investigate Changes in City-wide Transit Origin-Destination Flows from Deliberate Interventions or Exogenous Events [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1652048454608908

    APA Style (7th edition)

  • Ribeiro de Oliveira Galdino, Diego. Using APC Data to Investigate Changes in City-wide Transit Origin-Destination Flows from Deliberate Interventions or Exogenous Events. 2022. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1652048454608908.

    MLA Style (8th edition)

  • Ribeiro de Oliveira Galdino, Diego. "Using APC Data to Investigate Changes in City-wide Transit Origin-Destination Flows from Deliberate Interventions or Exogenous Events." Master's thesis, Ohio State University, 2022. http://rave.ohiolink.edu/etdc/view?acc_num=osu1652048454608908

    Chicago Manual of Style (17th edition)

osu1652048454608908
© 2022, some rights reserved.Creative Commons License Using APC Data to Investigate Changes in City-wide Transit Origin-Destination Flows from Deliberate Interventions or Exogenous Events by Diego Ribeiro de Oliveira Galdino is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by The Ohio State University and OhioLINK.