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Green Vehicle-Routing Problem of Fresh Agricultural Products Considering Carbon Emission

Author

Listed:
  • Qi Yao

    (Management School, Wuhan College, Wuhan 430212, China
    School of Information Management, Central China Normal University, Wuhan 430079, China)

  • Shenjun Zhu

    (School of Information Management, Central China Normal University, Wuhan 430079, China)

  • Yanhui Li

    (Management School, Wuhan College, Wuhan 430212, China
    School of Information Management, Central China Normal University, Wuhan 430079, China)

Abstract

The need to reduce carbon emission to cope with climate change has gradually become a global consensus, which also poses a great challenge to cold-chain logistics companies. It forces them to implement green distribution strategies. To help the distribution companies reduce carbon emission, this paper studies two aspects—carbon tax value and investing in the freshness-keeping cost—and proposes corresponding solutions. A new green vehicle-routing model for fresh agricultural products with the goal of minimizing the total cost is proposed. To solve the model proposed, an improved ant-colony optimization (IACO) is designed specifically. On one hand, the experimental results show that the increase in carbon tax will restrict the carbon emission behaviors of the distribution companies, but it will also reduce their economic benefits to a certain extent, at the same time. On the other hand, investing in the freshness-keeping cost can help actively achieve the carbon emission reduction target, reduce the loss of fresh agricultural products in the distribution process, improve the company’s economic benefits and satisfy customers. The comparison results of different algorithms prove that the IACO proposed in this paper is more effective in solving the model, which can help increase the economic benefits of the companies and reduce carbon emission. This study provides a new solution for cold-chain logistics distribution companies to reduce carbon emission in the distribution process, and also provides a reference for government departments to formulate carbon tax policies.

Suggested Citation

  • Qi Yao & Shenjun Zhu & Yanhui Li, 2022. "Green Vehicle-Routing Problem of Fresh Agricultural Products Considering Carbon Emission," IJERPH, MDPI, vol. 19(14), pages 1-17, July.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:14:p:8675-:d:864368
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    References listed on IDEAS

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    Cited by:

    1. Ratko Stanković & Tomislav Pereglin & Tomislav Erdelić, 2023. "Optimizing Utilization of Transport Capacities in the Cold Chain by Introducing Dynamic Allocation of Semi-Trailers," Logistics, MDPI, vol. 7(4), pages 1-22, December.
    2. Yang, Wen & Ma, Jianhua & Fan, Ao & Zhang, Jinyi & Pan, Yanchun, 2024. "Effectiveness of policies for electric commercial vehicle adoption and emission reduction in the logistics industry," Energy Policy, Elsevier, vol. 188(C).
    3. Yong Peng & Yanlong Zhang & Dennis Z. Yu & Song Liu & Yali Zhang & Yangyan Shi, 2024. "Optimizing Multi-Depot Mixed Fleet Vehicle–Drone Routing Under a Carbon Trading Mechanism," Mathematics, MDPI, vol. 12(24), pages 1-33, December.
    4. Shuangli Pan & Huiyu Liao & Guijun Zheng & Qian Huang & Maozhuo Shan, 2024. "Cold Chain Distribution Route Optimization for Mixed Vehicle Types of Fresh Agricultural Products Considering Carbon Emissions: A Study Based on a Survey in China," Sustainability, MDPI, vol. 16(18), pages 1-21, September.
    5. Bedrettin Türker Palamutçuoğlu & Selin Çavuşoğlu & Ahmet Yavuz Çamlı & Florina Oana Virlanuta & Silviu Bacalum & Deniz Züngün & Florentina Moisescu, 2025. "Solution of the Capacity-Constrained Vehicle Routing Problem Considering Carbon Footprint Within the Scope of Sustainable Logistics with Genetic Algorithm," Sustainability, MDPI, vol. 17(2), pages 1-30, January.

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