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Analysis of an idealized system of demand adaptive paired-line hybrid transit

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  • Chen, Peng Will
  • Nie, Yu Marco

Abstract

This paper proposes and analyzes a new transit system that integrates the traditional fixed-route service with a demand-adaptive service. The demand-adaptive service connects passengers from their origin/destination to the fixed-route service in order to improve accessability. The proposed hybrid design is unique in that it operates the demand-adaptive service with a stable headway to cover all stops along a paired fixed-route line. Pairing demand-adaptive vehicles with a fixed-route line simplifies the complexity of on-demand routing, because the vehicles can follow a more predictable path and can be dispatched on intervals coordinated with the fixed-route line. The design of the two services are closely coupled to minimize the total system cost, which incudes both the transit agency’s operating cost and the user cost. The optimal design model is formulated as a mixed integer program and solved using a commercially available metaheuristic. Numerical experiments are conducted to compare the demand adaptive paired-line hybrid transit (DAPL-HT) system with two related transit systems that may be considered its special cases: a fixed-route system and a flexible-route system. We show that the DAPL-HT system outperforms the other two systems under a wide range of demand levels and in various scenarios of input parameters. A discrete-event simulation model is also developed and applied to confirm the correctness of the analytical results.

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  • Chen, Peng Will & Nie, Yu Marco, 2017. "Analysis of an idealized system of demand adaptive paired-line hybrid transit," Transportation Research Part B: Methodological, Elsevier, vol. 102(C), pages 38-54.
    • Handle: RePEc:eee:transb:v:102:y:2017:i:c:p:38-54
    DOI: 10.1016/j.trb.2017.05.004
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    14. Calabrò, Giovanni & Araldo, Andrea & Oh, Simon & Seshadri, Ravi & Inturri, Giuseppe & Ben-Akiva, Moshe, 2023. "Adaptive transit design: Optimizing fixed and demand responsive multi-modal transportation via continuous approximation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 171(C).
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    16. Xin Li & Wanying Liu & Jingyuan Qiao & Yanhao Li & Jia Hu, 2023. "An Enhanced Semi-Flexible Transit Service with Introducing Meeting Points," Networks and Spatial Economics, Springer, vol. 23(3), pages 487-527, September.
    17. Luo, Sida & Nie, Yu (Marco), 2020. "Paired-line hybrid transit design considering spatial heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 320-339.
    18. Molenbruch, Yves & Braekers, Kris & Hirsch, Patrick & Oberscheider, Marco, 2021. "Analyzing the benefits of an integrated mobility system using a matheuristic routing algorithm," European Journal of Operational Research, Elsevier, vol. 290(1), pages 81-98.
    19. Tang, Xindi & Yang, Jie & Lin, Xi & He, Fang & Si, Jinhua, 2023. "Dynamic operations of an integrated mobility service system of fixed-route transits and flexible electric buses," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 173(C).
    20. Ma, Jiaxin & Chen, Xumei & Xing, Ziwen & Zhang, Yixin & Yu, Lei, 2023. "Improving the performance of airport shuttle through demand-responsive service with dynamic fare strategy considering mixed demand," Journal of Air Transport Management, Elsevier, vol. 112(C).
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    22. Giovanni Calabro' & Andrea Araldo & Simon Oh & Ravi Seshadri & Giuseppe Inturri & Moshe Ben-Akiva, 2021. "Adaptive Transit Design: Optimizing Fixed and Demand Responsive Multi-Modal Transportation via Continuous Approximation," Papers 2112.14748, arXiv.org, revised Jan 2023.
    23. Daganzo, Carlos F. & Ouyang, Yanfeng, 2019. "A general model of demand-responsive transportation services: From taxi to ridesharing to dial-a-ride," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 213-224.

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