Compensation Decisions on Disruption Recovery Service in Urban Rail Transit

Keywords: urban rail transit, disruption recovery, effort-based revenue sharing contract, compensation decisions

Abstract

Ride-hailing, in addition to a common mode of daily transportation, is an attractive option for evacuating stranded passengers and supplementing bus bridging in the early stages of an urban rail transit (URT) disruption. This paper proposes a service supply chain comprised of ride-hailing vehicles, ride-hailing platforms, and stranded passengers wherein the URT and ride-hailing chain together provide emergency evacuation services. The emergency evacuation service supply chain can be coordinated under an effort-based revenue sharing contract. A URT-dominated Stackelberg game model between the URT and ride-hailing platform is then formulated to optimize compensation decisions on the part of the URT; numerical analysis reveals critical factors affecting the said decisions. The main contributions of this paper are two-fold: first, it provides new information regarding collaboration between URT operators and ride-hailing platforms for stranded passenger evacuation, including a ride-hailing platform pricing strategy; and second, the URT compensation decision process is solved via Stackelberg game model while revealing an incentive coefficient parameter for the URT decision and solver.

Author Biographiesaaa replica rolex repwatches replica rolex watches for men replica iwc watch

Zhijie Yang, Tongji University

School of Economics and Management ;Top5%

Xiaolong Chen, Tongji University

School of Economics and Management

References

Jespersen-Groth J, Potthoff D, Clausen J, Huisman D, Kroon L, MarĂ³ti G, et al. Disruption Management in Passenger Railway Transportation. Berlin Heidelberg: Springer; 2009. p. 399-421.

Pender B, Currie G, Delbosc A, Shiwakoti N. Disruption Recovery in Passenger Railways: International Survey. Transportation Research Record Journal of the Transportation Research Board. 2013;2353(2353): 22-32.

Kepaptsoglou K, Karlaftis MG. The bus bridging problem in metro operations: conceptual framework, models and algorithms. Public Transport. 2009;1(4): 275-97.

Pender B, Currie G, Delbosc A, Wang Y. Proactive Recovery from Rail Disruptions Through Provision of Track Crossovers and Bus Bridging. Transportation Research Record Journal of the Transportation Research Board. 2012; 2275(-1): 68-76.

Pender B, Currie G, Delbosc A, Shiwakoti N. Improving bus bridging responses via satellite bus reserve locations. J Transp Geogr. 2014;34(34): 202-10.

Westerlund Y, Cazemier O. The use of taxis for special and integrated public transport in Sweden and the Netherlands; 2007.

Darmanin T, Lim C, Gan HS. Public Railway Disruption Recovery Planning: A New Recovery Strategy for Metro Train Melbourne; 2010.

Schuitema G, Steg L, Rothengatter JA. The acceptability, personal outcome expectations, and expected effects of transport pricing policies. J Environ Psychol. 2010;30(4): 587-93.

Zeng AZ, Durach CF, Fang Y. Collaboration decisions on disruption recovery service in urban public tram systems. Transportation Research Part E: Logistics & Transportation Review. 2012;48(3): 578-90.

Mokhlesian M, Zegordi SH. Application of multidivisional bi-level programming to coordinate pricing and inventory decisions in a multiproduct competitive supply chain. Int J Adv Manuf Tech. 2014;71(9-12): 1975-89.

Yang ZJ, Chen SY, Chen XL, Gu LP. URT Emergency Facilities Location Problem Model in Consideration of Station Vulnerability; 2017.

Wang K, Li X, Xu G. Evaluation of Socio-economic Losses of Train Delay Due to Subway Accident. Urban Mass Transit. 2014.

Lin T, Shalaby A, Miller E. Transit User Behaviour in Response to Service Disruption: State of Knowledge; 2016.

Cachon GP, Lariviere MA. Supply Chain Coordination with Revenue-Sharing Contracts: Strengths and Limitations. Manage Sci. 2005;51(1): 30-44.

Kicsiny R, Varga Z, Scarelli A. Backward induction algorithm for a class of closed-loop Stackelberg games. Eur J Oper Res. 2014;237(3): 1021-36.

Published
2019-08-10
How to Cite
1.
Yang Z, Chen X. Compensation Decisions on Disruption Recovery Service in Urban Rail Transit. Promet [Internet]. 2019Aug.10 [cited 2024Nov.23];31(4):367-75. Available from: https://traffic.fpz.hr/index.php/PROMTT/article/view/2985
Section
Articles