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 language | English (US) |
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Pages (from-to) | 812-832 |
Number of pages | 21 |
Journal | Transportation Research Procedia |
Volume | 38 |
DOIs | |
State | Published - 2018 |
Event | 23rd International Symposium on Transportation and Traffic Theory, ISTTT 2019 - Lausanne, Switzerland Duration: Jul 24 2018 → Jul 26 2018 |
Funding
This project is partially funded by the US National Science Foundation under the award nuıber PFI:BIC 1534138. This project is partially funded by the US National Science Foundation under the award number PFI:BIC 1534138.
Keywords
- Demand adaptive transit
- Paired-line hybrid system
- Route choice
- Spatial heterogeneity
- Transit network design
ASJC Scopus subject areas
- Transportation