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Collaboration decisions on disruption recovery service in urban public tram systems

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  • Zeng, Amy Z.
  • Durach, Christian F.
  • Fang, Yan

Abstract

This research focuses on the decisions on recovery services to deal with short-term disruptions in public tram systems. The disruption recovery approach used in Munich, Germany – the best service acclaimed by the public, is adopted as the basis to examine whether to collaborate with a taxi company to provide the recovery service and how to price to compensate the service. The two involving parties’ decision functions with the taxi’s average arrival time as the leading decision variable are formulated and analyzed. Both theoretical and numerical sensitivity analyses are conducted to shed lights on the critical factors affecting the decisions.

Suggested Citation

  • Zeng, Amy Z. & Durach, Christian F. & Fang, Yan, 2012. "Collaboration decisions on disruption recovery service in urban public tram systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(3), pages 578-590.
    • Handle: RePEc:eee:transe:v:48:y:2012:i:3:p:578-590
    DOI: 10.1016/j.tre.2011.11.005
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    1. Richard Freling & Ramon Lentink & Albert Wagelmans, 2004. "A Decision Support System for Crew Planning in Passenger Transportation Using a Flexible Branch-and-Price Algorithm," Annals of Operations Research, Springer, vol. 127(1), pages 203-222, March.
    2. Corman, Francesco & D'Ariano, Andrea & Pacciarelli, Dario & Pranzo, Marco, 2010. "A tabu search algorithm for rerouting trains during rail operations," Transportation Research Part B: Methodological, Elsevier, vol. 44(1), pages 175-192, January.
    3. Andrea D’Ariano & Marco Pranzo, 2009. "An Advanced Real-Time Train Dispatching System for Minimizing the Propagation of Delays in a Dispatching Area Under Severe Disturbances," Networks and Spatial Economics, Springer, vol. 9(1), pages 63-84, March.
    4. Sørensen, Claus Hedegaard & Longva, Frode, 2011. "Increased coordination in public transport--which mechanisms are available?," Transport Policy, Elsevier, vol. 18(1), pages 117-125, January.
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