rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Mobility Allowance Shuttle Transit with Dynamic Checkpoint: A Clustering and Routing Strategy with Pricing Model
  name:
    name part: Lee, Da Hye
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Quadrifoglio, Luca
    role:
      role term: thesis advisor.
  name:
    name part: Texas A&M University
    role:
      role term: degree granting institution.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: txu
    date issued: 2023
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: This study explores a dynamic checkpoint strategy for an on-demand flexible transit service called Mobility Allowance Shuttle Transit with Dynamic Checkpoint (MAST-DC) with a static pricing model. The original Mobility Allowance Shuttle Transit (MAST) system operates shuttles allowing deviations from their fixed route to serve more passengers within the service area at their desired locations. The system is highly suitable for operating in a low-demand area or during the nighttime. However, we started to consider whether we could operate the system to serve higher demands and make it more profitable. Our research stems from solving this question as the following. First, as did the original MAST system, binding time constraints are entangled with fixed checkpoints. To serve more passengers given a limited amount of time for deviations, we introduced a concept of a dynamic checkpoint. A dynamic checkpoint is not a preassigned pickup and drop-off location, but the location defined by the system in each vehicle running period to gather some of the passengers and reduce deviations. Creating dynamic checkpoints may cause disutility for passengers due to extra walking distance. Therefore, we propose a sequential iterative two-phase heuristic model that first clusters to minimize passengers' walking distance and routes second to minimize vehicle distance traveled between checkpoints. The clustering is performed using the memetic differential evolution (MDE)-based algorithm, and the routing solves a traveling salesman problem. An analytical model is developed to provide upper-bound estimates for the number of dynamic checkpoints and the passengers' average walking distance. Second, we propose a MAST-DC operational framework with a static pricing model by combining the sequential iterative two-phase heuristic model with a discrete choice model. The system offers different fares for the two service options: fixed checkpoints and dynamic checkpoints. The fare for using dynamic …
  note: by Da Hye Lee.
  note: "Major Subject: Civil Engineering"
  note: Includes vita.
  note: Doctor of Philosophy Texas A&M University 2022 https://hdl.handle.net/1969.1/198636
  note: Includes bibliographical references.
  note: Text (Dissertation)
  subject:
    topic: Major Civil Engineering
  subject:
    topic: Mobility Allowance Shuttle Transit
  subject:
    topic: Dynamic Checkpoint
  subject:
    topic: Heuristic
  subject:
    topic: Discrete Choice Model
  identifier: https://hdl.handle.net/1969.1/198636
  record info:
    record content source: TXA
    record creation date: 241022
    record change date: 20250326141427.4
    record identifier: in00005621201
    language of cataloging:
      language term: eng