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Open AccessArticle

Design and Freight Corridor-Fleet Size Choice in Collaborative Intermodal Transportation Network Considering Economies of Scale

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School of Economics and Management, Chang’an University, Xi’an 710064, Shaanxi, China
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Freight Mobility Research Institute, Department of Civil, Environmental and Geomatics Engineering, Florida Atlantic University, Boca Raton, FL 33431, USA
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School of Automation, Northwestern Polytechnical University, Xi’an 710064, Shaanxi, China
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School of Economics and Management; Economics and management research center for integrated transportation, Chang’an University, Xi’an 710064, Shaanxi, China
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School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China
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Department of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195, USA
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Authors to whom correspondence should be addressed.
Sustainability 2019, 11(4), 990; https://doi.org/10.3390/su11040990
Received: 23 January 2019 / Revised: 10 February 2019 / Accepted: 11 February 2019 / Published: 14 February 2019
(This article belongs to the Section Sustainable Transportation)
Decentralized freight decision has been proved to be one of the inhibitors to achieve a sustainable transport network. One important method also a key challenge is to determine how to coordinate and consolidate the transportation flow to get the best logistics performance. This study presents an intermodal transportation network considering freight consolidation through freight forwarders’ cooperation. We formulate the problem as a minimum intermodal transport cost model, which is a nonlinear, nonconvex and discontinuous function that involves volume economies of scale, distance economies of scale and vehicle size economies of scale. A hybrid genetic algorithm (GA) and particle swarm optimization (PSO) algorithm in combination with a batch strategy are used to solve the problem. Five different transport demand scenarios are tested on a real case on “China Railway Express” (Crexpress). The choices of reasonably corridor and fleet size combination are provided. View Full-Text
Keywords: collaborative intermodal transportation network; tactical planning; batch strategy; genetic algorithm and particle swarm optimization algorithm; economies of scale collaborative intermodal transportation network; tactical planning; batch strategy; genetic algorithm and particle swarm optimization algorithm; economies of scale
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Liu, D.; Deng, Z.; Sun, Q.; Wang, Y.; Wang, Y. Design and Freight Corridor-Fleet Size Choice in Collaborative Intermodal Transportation Network Considering Economies of Scale. Sustainability 2019, 11, 990.

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