Finding potential hub locations for liner shipping |
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| Institution: | 1. Sauder School of Business, University of British Columbia, Canada\n;2. Department of Decision Sciences, College of Business, San Francisco State University, United States;1. Institute of Transport and Logistics Studies, University of Sydney, Australia;2. Department of Civil and Environmental Engineering, National University of Singapore, Singapore;1. School of Management, Shanghai University, Shanghai, China;2. Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Hung Hom, Hong Kong;3. Department of Industrial and Systems Engineering, National University of Singapore, Singapore;4. Logistics Research Center, Shanghai Maritime University, Shanghai, China;1. School of Economics & Management, Tongji University, Shanghai 200092, P.R. China;2. Department of Industrial Engineering & Logistics Management, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong;3. School of data & computer science, Sun Yat-sen University, Gangzhou 510275, P.R. China;4. Laboratoire Génie Industriel, Centrale Supélec, Université Paris-Saclay, Grande Voie des Vignes, 92290 Châtenay-Malabry, France;1. School of Economics & Management, Nanjing University of Science & Technology, Nanjing, 210094, China;2. Department of Civil and Environmental Engineering, National University of Singapore, 117576, Singapore;3. School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, China |
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| Abstract: | The current models for hub location problems are unable to find potential hub locations in uncharted areas that currently have no port. To explore hub locations that are not selected from the present ports, this study proposes a two-stage method to address this gap in knowledge. A concave cost multicommodity network flow model is solved in the first stage to obtain container traffic in waterways. Then, in the second stage, a hubbing probability is evaluated for each node to indicate potential hub locations. A case study including emerging Arctic routes is provided to demonstrate this method. |
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