Abstract
The construction and development of a dry port have been viewed as the pivot of multiple international container transportation. The location planning of a dry port is the critical issue for the whole supply chain and its relationship with seaports, shippers, transportation and the hinterland. By constructing a model of location planning for a dry port using a fuzzy clustering algorithm, the study clusters 34 inland hinterland areas of Dalian port in order to find suitable cities for a dry port location. It validates the adaptability and rationality of applying a fuzzy c-means clustering algorithm into the location planning of a dry port. A comparison with the existing development and layout of the dry port provides the government with a theoretical underpinning for an inland dry port location.
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