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Reinhold_Thesis.pdf (4.58 MB)

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Combining Transit Route Origin-Destination Passenger Flow Matrices into Integrated Area or Corridor Matrices: Evaluating Flow Patterns on the OSU Campus and along a Columbus Corridor

Reinhold, Herbert E, IV
http://rave.ohiolink.edu/etdc/view?acc_num=osu1366317513

Abstract Details

2013, Master of Science, Ohio State University, Civil Engineering.
Understanding origin-destination (OD) passenger travel patterns on bus routes is valuable when designing transit services, improving operations strategies, and forecasting demand on the system. For a bus transit system, passenger travel patterns can be determined at the route-level or route pattern-level to represent passenger flows between boarding and alighting stops for a single bus route. Although useful in several dimensions of transit planning, a single route or route pattern OD matrix may not accurately reflect travel behavior between an OD pair. Incorporating flows across multiple routes or route patterns within a transit corridor or network area can provide additional information useful for the understanding of travel patterns. A methodology was developed to combine route or route-pattern OD matrices into an integrated OD matrix in the absence of route transfers for improved understanding of transit passenger flows. This methodology was applied to the Ohio State University Campus Area Bus Service (CABS) network to determine the impact of adding a new route on traveler behavior, determine temporal passenger flows on the network, and investigate the impact of class schedules on passenger intra-hour travel patterns. The methodology was also applied to the Central Ohio Transit Authority (COTA) Route 10 to combine multiple route patterns within a corridor for the purpose of determining travel patterns and gathering additional passenger flow information for OD pairs served by multiple route patterns. The results of these investigations reveal that the integrated OD matrix identifies noticeable spatial and temporal changes in passenger travel patterns across multiple routes and route patterns in a transit corridor or network. Additional interesting findings regarding traveler demand on specific OD pairs were determined within the integrated OD matrix that could not be identified at the route-level. In summary, the findings of this investigation support the validity of the integrated OD matrix approach for improving understanding of passenger travel behavior across multiple routes or route patterns in a transit corridor or network area.
Mark McCord, Ph.D. (Advisor)
Rabi Mishalani, Ph.D. (Advisor)
Philip Viton, Ph.D. (Committee Member)
150 p.
Transportation
Public Transportation; Origin-Destination Passenger Flows; Network Representation; OSU Campus Area Bus Service; Central Ohio Transit Authority

Recommended Citations

Citations

  • Reinhold, IV, H. E. (2013). Combining Transit Route Origin-Destination Passenger Flow Matrices into Integrated Area or Corridor Matrices: Evaluating Flow Patterns on the OSU Campus and along a Columbus Corridor [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1366317513

    APA Style (7th edition)

  • Reinhold, IV, Herbert. Combining Transit Route Origin-Destination Passenger Flow Matrices into Integrated Area or Corridor Matrices: Evaluating Flow Patterns on the OSU Campus and along a Columbus Corridor. 2013. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1366317513.

    MLA Style (8th edition)

  • Reinhold, IV, Herbert. "Combining Transit Route Origin-Destination Passenger Flow Matrices into Integrated Area or Corridor Matrices: Evaluating Flow Patterns on the OSU Campus and along a Columbus Corridor." Master's thesis, Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1366317513

    Chicago Manual of Style (17th edition)

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© 2013, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.