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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.
Disclosure statement
No potential conflict of interest was reported by the authors.
Additional information
Funding
This research was supported by the Key Projects of Philosophy and Social Sciences from the Department of Education [grant number 11JZD049]; National Natural Science Foundation of China (General Program) [grant number 71473023]; the Fundamental Research Funds for the Central Universities [grant number 3132014083].