Paired-line hybrid transit design considering spatial heterogeneity

Sida Luo, Yu Nie*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

This study attempts to incorporate spatial heterogeneity into the optimal design of paired-line hybrid transit systems, which aims to strike a better balance between accessibility and efficiency by leveraging the flexibility of a demand adaptive service. A simple trip production and distribution model is introduced to differentiate the central business district (CBD) of a city from its periphery. To cope with the heterogeneous demand pattern, the transit system is also configured differently inside and outside the CBD, for both its fixed route and demand adaptive services. Allowing the supply heterogeneity complicates transit users' route choice modeling considerably. As a result, user costs must be estimated separately for six subregions that constitute the feasible set of the fixed route headway. Each subregion corresponds to a unique route choice behavior, hence leading to a distinctive design model that is formulated as a mixed integer program and solved by a commercial solver. Results of numerical experiments show that concentrating demand in CBD significantly reduces the average system cost, and this benefit increases as the average demand density becomes larger. Also, recognizing demand heterogeneity and responding to it with a tailored design could be highly beneficial. However, this benefit diminishes as the average demand density increases.

Original languageEnglish (US)
Pages (from-to)812-832
Number of pages21
JournalTransportation Research Procedia
Volume38
DOIs
StatePublished - 2018
Event23rd International Symposium on Transportation and Traffic Theory, ISTTT 2019 - Lausanne, Switzerland
Duration: Jul 24 2018Jul 26 2018

Keywords

  • Demand adaptive transit
  • Paired-line hybrid system
  • Route choice
  • Spatial heterogeneity
  • Transit network design

ASJC Scopus subject areas

  • Transportation

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