Abstract
This paper studies the disruption management of a Mass Rapid Transit (MRT) network with data obtained from transportation smart cards. We introduce an optimization model for the development of efficient bus bridging services to minimize the negative effects of MRT disruption. Compared with existing approaches, our model considers the available capacity of existing buses when designing the routes and headways/frequencies of bus bridging services. The proposed model is demonstrated through one case study that assumes MRT disruption in the central business district area of Singapore. The case study shows that our approach can effectively reduce the travel delay of commuters and increase the number of commuters that can be served.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Cadarso, L., Marín, Á.: Recovery of disruptions in rapid transit networks with origin-destination demand. Procedia - Soc. Behav. Sci. 111, 528–537 (2014)
Cadarso, L., Marín, Á., Maróti, G.: Recovery of disruptions in rapid transit networks. Transp. Res. Part E: Logist. Transp. Rev. 53, 15–33 (2013)
Jespersen-Groth, J., Potthoff, D., Clausen, J., Huisman, D., Kroon, L., Maróti, G., Nielsen, M.N.: Disruption management in passenger railway transportation. In: Robust and Online Large-Scale Optimization, pp. 399–421. Springer (2009)
Jin, J.G., Tang, L.C., Sun, L., Lee, D.-H.: Enhancing metro network resilience via localized integration with bus services. Transp. Res. Part E: Logist. Transp. Rev. 63, 17–30 (2014)
Jin, J.G., Teo, K.M., Odoni, A.R.: Optimizing bus bridging services in response to disruptions of urban transit rail networks. Transp. Sci. 50(3), 790–804 (2015)
Kepaptsoglou, K., Karlaftis, M.G.: The bus bridging problem in metro operations: conceptual framework, models and algorithms. Public Transp. 1(4), 275–297 (2009)
Kroon, L., Huisman, D.: Algorithmic support for railway disruption management. In: Transitions Towards Sustainable Mobility, pp. 193–210. Springer (2011)
LTA. Performance of rail reliability (2017)
Pender, B., Currie, G., Delbosc, A., Shiwakoti, N.: Planning for the unplanned: an international review of current approaches to service disruption management of railways. In: 35th Australian Transport Research Forum, Perth, Australia (2012)
Singapore-ETH Center. Future Resilient Systems programme booklet. (2014)
Zeng, A.Z., Durach, C.F., Fang, Y.: Collaboration decisions on disruption recovery service in urban public tram systems. Transp. Res. Part E: Logist. Transp. Rev. 48(3), 578–590 (2012)
Acknowledgements
We acknowledge the National Research Foundation, Prime Minister’s Office, Singapore under its Campus for Research Excellence and Technological Enterprise programme.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Luo, C. et al. (2019). Data-Driven Disruption Response Planning for a Mass Rapid Transit System. In: Qu, X., Zhen, L., Howlett, R., Jain, L. (eds) Smart Transportation Systems 2019. Smart Innovation, Systems and Technologies, vol 149. Springer, Singapore. https://doi.org/10.1007/978-981-13-8683-1_21
Download citation
DOI: https://doi.org/10.1007/978-981-13-8683-1_21
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-8682-4
Online ISBN: 978-981-13-8683-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)