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Designing a flexible feeder transit system serving irregularly shaped and gated communities: determining service area and feeder route planning/ created by Shuliang Pan, Jie Yu, Xianfeng Terry Yang, Yue Liu 4 and Nan Zou

By: Contributor(s): Material type: TextTextSeries: Journal of urban planning and development ; Volume 141, number 3Reston : ASCE, 2015Content type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISSN:
  • 07339488
Subject(s): LOC classification:
  • HT169 JOU
Online resources: Abstract: This paper presents a mathematical model to design the appropriate service area and routing plans for a flexible feeder transit system serving irregularly shaped and gated communities. Given the fleet size and travel times between demand collection nodes, a mixed integer linear programming (MILP) model is developed to optimize the service area and transit route planning concurrently. The proposed model features a two-level structure with an upper level to maximize the number of served passengers by the feeder transit system and a lower level to minimize the operational cost for transit operators. This paper further presents a heuristic approach to yield acceptable solutions to the model in a reasonable amount of time. Case study results have demonstrated the effectiveness of the proposed model as well as the heuristic solution approach.
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Holdings
Item type Current library Call number Vol info Status Notes Date due Barcode
Journal Article Journal Article Main Library - Special Collections HT169 JOU (Browse shelf(Opens below)) Vol. 141, no.3 (pages 04014028-1-9) Not for loan For in house use only

This paper presents a mathematical model to design the appropriate service area and routing plans for a flexible feeder transit system serving irregularly shaped and gated communities. Given the fleet size and travel times between demand collection nodes, a mixed integer linear programming (MILP) model is developed to optimize the service area and transit route planning concurrently. The proposed model features a two-level structure with an upper level to maximize the number of served passengers by the feeder transit system and a lower level to minimize the operational cost for transit operators. This paper further presents a heuristic approach to yield acceptable solutions to the model in a reasonable amount of time. Case study results have demonstrated the effectiveness of the proposed model as well as the heuristic solution approach.

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