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Optimizing Urban Distribution Routes for Perishable Foods Considering Carbon Emission Reduction

Author

Listed:
  • Diansheng Lin

    (School of Economics and Commerce, South China University of Technology, Guangzhou 510006, China)

  • Zhiyong Zhang

    (School of Economics and Commerce, South China University of Technology, Guangzhou 510006, China)

  • Jiaxin Wang

    (School of Economics and Commerce, South China University of Technology, Guangzhou 510006, China)

  • Liu Yang

    (School of Economics and Commerce, South China University of Technology, Guangzhou 510006, China)

  • Yongqiang Shi

    (School of Economics and Commerce, South China University of Technology, Guangzhou 510006, China
    School of Management and Enterprise, University of Southern Queensland, Toowoomba, QLD 4072, Australia)

  • Jeffrey Soar

    (School of Management and Enterprise, University of Southern Queensland, Toowoomba, QLD 4072, Australia)

Abstract

The increasing demand for urban distribution increases the number of transportation vehicles which intensifies the congestion of urban traffic and leads to a lot of carbon emissions. This paper focuses on carbon emission reduction in urban distribution, taking perishable foods as the object. It carries out optimization analysis of urban distribution routes to explore the impact of low carbon policy on urban distribution routes planning. On the basis of analysis of the cost components and corresponding constraints of urban distribution, two optimization models of urban distribution routes with and without carbon emissions cost are constructed. Fuel quantity related to cost and carbon emissions in the model is calculated based on traffic speed, vehicle fuel quantity and passable time period of distribution. Then an improved algorithm which combines genetic algorithm and tabu search algorithm is designed to solve models. Moreover, an analysis of the influence of carbon tax price is also carried out. It is concluded that in the process of urban distribution based on the actual network information, path optimization considering the low carbon factor can effectively reduce the distribution process of CO 2 , and reduce the total cost of the enterprise and society, thus achieving greater social benefits at a lower cost. In addition, the government can encourage low-carbon distribution by rationally adjusting the price of carbon tax to achieve a higher social benefit.

Suggested Citation

  • Diansheng Lin & Zhiyong Zhang & Jiaxin Wang & Liu Yang & Yongqiang Shi & Jeffrey Soar, 2019. "Optimizing Urban Distribution Routes for Perishable Foods Considering Carbon Emission Reduction," Sustainability, MDPI, vol. 11(16), pages 1-22, August.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:16:p:4387-:d:257317
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    References listed on IDEAS

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    Cited by:

    1. Changlu Zhang & Liqian Tang & Jian Zhang & Liming Gou, 2023. "Optimizing Distribution Routes for Chain Supermarket Considering Carbon Emission Cost," Mathematics, MDPI, vol. 11(12), pages 1-20, June.
    2. Khalid Aljohani, 2023. "Optimizing the Distribution Network of a Bakery Facility: A Reduced Travelled Distance and Food-Waste Minimization Perspective," Sustainability, MDPI, vol. 15(4), pages 1-26, February.
    3. Ziqi Wang & Peihan Wen, 2020. "Optimization of a Low-Carbon Two-Echelon Heterogeneous-Fleet Vehicle Routing for Cold Chain Logistics under Mixed Time Window," Sustainability, MDPI, vol. 12(5), pages 1-22, March.
    4. Zhiyuan Yuan & Jie Gao, 2022. "Dynamic Uncertainty Study of Multi-Center Location and Route Optimization for Medicine Logistics Company," Mathematics, MDPI, vol. 10(6), pages 1-15, March.

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