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Network planning of urban underground logistics system with hub-and-spoke layout: two phase cluster-based approach

Wanjie Hu (College of Civil Engineering, Nanjing Tech University, Nanjing, China)
Jianjun Dong (College of Civil Engineering, Nanjing Tech University, Nanjing, China)
Bon-Gang Hwang (Department of Building, National University of Singapore, Singapore, Singapore)
Rui Ren (College of Defense Engineering, Army Engineering University of PLA, Nanjing, China)
Zhilong Chen (College of Defense Engineering, Army Engineering University of PLA, Nanjing, China)

Engineering, Construction and Architectural Management

ISSN: 0969-9988

Article publication date: 21 April 2020

Issue publication date: 21 September 2020

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Abstract

Purpose

Underground logistics system (ULS) is recognized as sustainable alleviator to road-dominated urban logistics infrastructure with various social and environmental benefits. The purpose of this study is to propose effective modeling and optimization method for planning a hub-and-spoke ULS network in urban region.

Design/methodology/approach

Underground freight tunnels and the last-mile ground delivery were organized as a hierarchical network. A mixed-integer programming model (MIP) with minimum system cost was developed. Then a two-phase optimization schema combining Genetic-based fuzzy C-means algorithm (GA-FCM), Depth-first-search FCM (DFS-FCM) algorithm and Dijkstra algorithm (DA), etc. was designed to optimize the location-allocation of ULS facilities and customer clusters. Finally, a real-world simulation was conducted for validation.

Findings

The multistage strategy and hybrid algorithms could efficiently yield hub-and-spoke network configurations at the lowest objective cost. GA-FCM performed better than K-means in customer-node clustering. The combination of DFS-FCM and DA achieved superior network configuration than that of combining K-means and minimum spanning tree technique. The results also provided some management insights: (1) greater scale economies effect in underground freight movement could reduce system budget, (2) changes in transportation cost would not have obvious impact on ULS network layout and (3) over 90% of transportation process in ULS network took place underground, giving remarkable alleviation to road freight traffic.

Research limitations/implications

Demand pairs among customers were not considered due to lacking data. Heterogeneity of facilities capacity parameters was omitted.

Originality/value

This study has used an innovative hybrid optimization technique to address the two-phase network planning of urban ULS. The novel design and solution approaches offer insights for urban ULS development and management.

Keywords

Acknowledgements

This work was supported by the National Natural Science Foundation of China (grant no. 71631007 and no. 71601095) and the Postgraduate Research & Practice Innovation Program of Jiangsu Province (grant no. SJCX19_0230). The editors and anonymous reviewers of this paper are acknowledged for their constructive comments and suggestions.

Citation

Hu, W., Dong, J., Hwang, B.-G., Ren, R. and Chen, Z. (2020), "Network planning of urban underground logistics system with hub-and-spoke layout: two phase cluster-based approach", Engineering, Construction and Architectural Management, Vol. 27 No. 8, pp. 2079-2105. https://doi.org/10.1108/ECAM-06-2019-0296

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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