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Analysis of incident costs in a vulnerable sparse rail network – Description and Iran case study

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  • Khademi, Navid
  • Babaei, Mohsen
  • Schmöcker, Jan-Dirk
  • Fani, Amirhossein

Abstract

Enhancing the productivity of the national railway systems is now one of the main concerns of transportation authorities in Iran. In this regard, one of the strategies devised by Iran's Railway Company is to increase the robustness of the system against incidents. The paper describes the state of the network and discusses that human errors are the main cause imposing significant costs. This is followed by the development of a method for the network vulnerability analysis of sparse interurban rail networks considering transportation of various goods as well as passengers. The paper examines the effects of an incident where consequent effects are substantial and propagate functionally throughout the network, to take the network closure duration into account, and to tie together both additional costs of transporting passengers/goods (due to prolongation of routes) and unsatisfied demand. The purpose is to find the most important links of the network, where failure results in serious consequences. Passenger unsatisfied demand, freight unsatisfied demand, and monetary costs are considered as the consequences of network disruptions, and a multi-objective optimization programming approach is designed to generate solutions based on these criteria.

Suggested Citation

  • Khademi, Navid & Babaei, Mohsen & Schmöcker, Jan-Dirk & Fani, Amirhossein, 2018. "Analysis of incident costs in a vulnerable sparse rail network – Description and Iran case study," Research in Transportation Economics, Elsevier, vol. 70(C), pages 9-27.
    • Handle: RePEc:eee:retrec:v:70:y:2018:i:c:p:9-27
    DOI: 10.1016/j.retrec.2018.08.010
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    More about this item

    Keywords

    Network vulnerability; Network robustness; Passenger rail transportation; Freight rail transportation; Multi-objective decision-making; System resilience; Developing countries; Iranian national railway;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy

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