Optimal design of demand adaptive paired-line hybrid transit: Case of radial route structure

Peng (Will) Chen, Yu (Marco) Nie*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

This paper studies the design problem of a demand adaptive paired-line hybrid transit system with a radial network structure. Depending on whether the demand adaptive service is operated along circular or radial transit lines, two variants of such systems are considered: a Circular Model (or C-Model) and a Radial Model (or R-Model). A continuous approximation approach is employed to develop the optimal design problem, which is formulated as a mixed integer program. A comprehensive numerical experiment is performed to compare various cost components corresponding to the optimal design of the two systems, and a discrete-event simulation is developed to validate the analysis. Numerical and simulation results suggest that the radial route network outperforms the grid route network, which was analyzed previously in the literature, with a significant margin, while the C-Model and R-Model offer similar performance.

Original languageEnglish (US)
Pages (from-to)71-89
Number of pages19
JournalTransportation Research Part E: Logistics and Transportation Review
Volume110
DOIs
StatePublished - Feb 2018

Keywords

  • Continuous approximation
  • Demand adaptive service
  • Discrete-event simulation
  • Hybrid transit
  • Radial network

ASJC Scopus subject areas

  • Business and International Management
  • Civil and Structural Engineering
  • Transportation

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