Delimiting port hinterlands based on intermodal network flows: Model and algorithm

Xinchang Wang, Qiang Meng and Lixin Miao

Transportation Research Part E: Logistics and Transportation Review, 2016, vol. 88, issue C, 32-51

Abstract: This study aims to propose a tangible approach to delimiting the probabilistic hinterland of a port of interest. We first build a geometric model for the probabilistic port hinterland based on intermodal network flows jointly using discrete choice analysis and geographical information of shippers. We further design an algorithm that can efficiently determine the hinterland boundaries using the sample approximation of shippers’ choice probabilities. We provide theoretical results that characterize the minimum computational effort required to achieve a certain degree of accuracy in the sample approximation. We also offer two numerical case studies to justify the proposed approach.

Keywords: Discrete choice model; Port hinterland; Intermodal transportation; Sample approximation; Cluster analysis; Random utility (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (21)

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DOI: 10.1016/j.tre.2016.02.004

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