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Locating manufacturing industries by flow-capturing location model – Case of Chinese steel industry

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  • Wu, Shanhua
  • Yang, Zhongzhen

Abstract

The location behaviors of manufacturing industries are analyzed in the context of the economic globalization, and a programming model that integrates the flow-capturing location model with the traffic assignment model is built to optimize the location of manufacturing industries based on the world-wide transport multi-mode network. The flow-capturing location model is used to determine the location scheme, and the traffic assignment model is used to calculate the corresponding attributes of the freight flows in the transport network. A genetic algorithm is designed to solve the model and the Chinese steel industry is used as the case study. The result shows that the proposed method could help decision makers to effectively make location decisions for manufacturing industries.

Suggested Citation

  • Wu, Shanhua & Yang, Zhongzhen, 2018. "Locating manufacturing industries by flow-capturing location model – Case of Chinese steel industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 112(C), pages 1-11.
    • Handle: RePEc:eee:transe:v:112:y:2018:i:c:p:1-11
    DOI: 10.1016/j.tre.2018.01.017
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    2. Chenxi Li & Kening Wu & Xiangyu Gao, 2020. "Manufacturing industry agglomeration and spatial clustering: Evidence from Hebei Province, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(4), pages 2941-2965, April.
    3. Xing Gao & Keyu Zhai & Yue Qiu & Mengqiu Cao & Meiling Wu, 2020. "Innovation Institution and Spatial Transfer of Energy Industry: The Case of Jiangsu Province, China," SAGE Open, , vol. 10(1), pages 21582440199, January.
    4. Feng, Hongxiang & Grifoll, Manel & Yang, Zhongzhen & Zheng, Pengjun, 2021. "Latest challenges to ports in public-private partnership: Case of Dandong Port (China)'s bankruptcy," Transport Policy, Elsevier, vol. 110(C), pages 293-305.

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