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A two-phase model for dry port location with an application to the port of Dalian in China
Chang, Z.; Notteboom, T.; Lu, J. (2015). A two-phase model for dry port location with an application to the port of Dalian in China. Transp. Plann. Technol. 38(4): 442-464. dx.doi.org/10.1080/03081060.2015.1026103
In: Transportation Planning and Technology. Taylor & Francis: New York; London. ISSN 0308-1060, more
Peer reviewed article  

Available in Authors 

Author keywords
    dry ports; genetic algorithm; Dalian; two-phase model; Fuzzy C-MeansClustering (FCM); location analysis

Authors  Top 
  • Chang, Z.
  • Notteboom, T., more
  • Lu, J.

Abstract
    This paper provides guidance for an optimal and reasonable dry port layout for the port of Dalian in China. We present a two-phase framework on the location of dry ports, which solves the selection of candidate inland cities and optimal dry port location choice, respectively. Fuzzy C-Means Clustering is applied to select alternative cities in the vast hinterland of the seaport of Dalian, with a view to identify evaluation factors that affect the location selection decision. A cost-minimisation linear programming solution is proposed, with the aid of a genetic algorithm, to choose the optimal location as well as capacity level among the candidate inland cities.

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