Robust models for transportation service network design |
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| Affiliation: | 1. Department of Information Technology and Decision Sciences, Strome College of Business, 2165 Constant Hall, Old Dominion University, Norfolk, VA 23529, USA;2. Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong;1. Key Laboratory of Road and Traffic Engineering, Tongji University, Shanghai 201804, China;2. Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong;3. Department of Civil and Environmental Engineering, Utah State University, Logan, UT 84322-4110, USA;4. Department of Applied Mathematics and Computational Sciences, University of Cantabria, Santander 39005, Spain;1. Department of Industrial Engineering and Logistics Management, Hong Kong University of Science and Technology, Hong Kong;2. NUS Business School, National University of Singapore, Singapore;3. Department of Mathematics and Risk Management Institute, National University of Singapore, Singapore;4. Department of Mathematics, Hong Kong Baptist University, Hong Kong;1. Canada Research Chair in Distribution Management, HEC Montréal, Montréal, H3T 2A7, Canada;2. Naveen Jindal School of Management, University of Texas at Dallas, Richardson, Texas 75080-3021, USA;3. School of Industrial Engineering, Eindhoven University of Technology, Eindhoven 5600MB, The Netherlands;1. School of Management, University of Bath, Claverton Down, Bath BA2 7AY, UK;2. Southampton Business School, Centre for Operational Research, Management Science and Information Systems (CORMSIS), University of Southampton, Southampton SO17 1BJ, UK;3. Département Management et Technologie, École des Sciences de la Gestion, Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT), Université du Québec à Montréal, C.P. 8888, succ. Centre-ville, Montréal, QC H3C 3P8, Canada;4. Mathematical Sciences, CORMSIS, University of Southampton, Southampton SO17 1BJ, UK;1. Industrial Engineering Program, Sabancı University, Istanbul 34956, Turkey;2. Smart Mobility and Logistics Lab, Sabancı University, Istanbul 34956, Turkey;1. University of Bologna, Department of Electrical, Electronic and Information Engineering, Viale Risorgimento 2, 40138 Bologna, Italy;2. Vrije Universiteit Amsterdam, FEWEB (Faculty of Economics and Business Administration), De Boelelaan, 1105 Amsterdam, Netherlands |
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| Abstract: | In this paper robust models are presented for the transportation service network design problem, using the ferry service network design problem as an example application. The base assumption is that only the mean and an upper bound on the passenger demand are known. In one robust model, this information is supplemented by a lower bound on the demand, whereas in a second robust model, the assumption is made that the variance of the demand is known, in addition to the mean and upper bound. The relationship between the two models is investigated and characterized analytically. A case study using the ferry service in Hong Kong is provided to illustrate the models. |
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