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Article type: Research Article
Authors: Majima, Takahiroa; * | Takadama, Keikib | Watanabe, Daisukec | Katuhara, Mitujirod
Affiliations: [a] Logistics Research Group, National Maritime Research Institute, Mitaka, Tokyo, Japan | [b] Faculty of Electro-Communications, The University of Electro-Communications, Chofu, Tokyo, Japan | [c] Department of Logistics and Information Engineering, Tokyo University of Marine Science and Technology, Koto-ku, Tokyo, Japan | [d] SocioTechData, Tokyo, Japan
Correspondence: [*] Corresponding author: Takahiro Majima, Logistics Research Group, National Maritime Research Institute, 6-38-1, Shinkawa, Mitaka, Tokyo, Japan. E-mail:majy@nmri.go.jp
Abstract: Scheduled transportation service is a proper system for mass transportation and it is adopted by wide range of transportation modes, such as railway, airline, maritime container shipping and bus. The providers of the service are required to generate effective routes and networks. For this issue, this paper tackles the problem of generating Public Transport Network for stranded commuter in a disaster. The stranded commuter problem in the Tokyo Metropolitan area was posed by the Great East Japan Earthquake in the year 2011, where several millions of commuters had difficulties to return their homes due to the out of service of the railway's transportation system. In such a situation, bus and waterbus are expected as alternative transportation modes and transportation networks should be generated from scratch for bus and waterbus. In particular, the hub-spoke network is effective for a mass transportation. However, it is a tough problem to design trunk lines and branch lines simultaneously from scratch. As the first step towards the goal, this paper starts to focus on the local transportation network (branch lines), which connect to the trunk line. The method in this paper is based on a network evolution model that is investigated actively in the research field of complex networks. The characteristic and capability of the developed method are reported.
Keywords: Complex network, hub-spoke network, disaster prevention measure
DOI: 10.3233/MGS-150240
Journal: Multiagent and Grid Systems, vol. 12, no. 1, pp. 1-11, 2016
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