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Synergy Degree Evaluation of Container Multimodal Transport System

Author

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  • Xiaoping Fang

    (School of Traffic and Transportation Engineering, Rail Data Research and Application Key Laboratory of Hunan Province, Central South University, Changsha 410075, China)

  • Zhang Ji

    (School of Traffic and Transportation Engineering, Rail Data Research and Application Key Laboratory of Hunan Province, Central South University, Changsha 410075, China)

  • Zhiya Chen

    (School of Traffic and Transportation Engineering, Rail Data Research and Application Key Laboratory of Hunan Province, Central South University, Changsha 410075, China)

  • Weiya Chen

    (School of Traffic and Transportation Engineering, Rail Data Research and Application Key Laboratory of Hunan Province, Central South University, Changsha 410075, China)

  • Chao Cao

    (School of Traffic and Transportation Engineering, Rail Data Research and Application Key Laboratory of Hunan Province, Central South University, Changsha 410075, China)

  • Jinrong Gan

    (School of Traffic and Transportation Engineering, Rail Data Research and Application Key Laboratory of Hunan Province, Central South University, Changsha 410075, China)

Abstract

Logistics activities are an important source of energy consumption and environmental issues. Research conclusions and practical experience show that promoting the development of container multimodal transport is an effective way to reduce the level of carbon footprint. The key to influencing the development of container multimodal transport lies in the cooperation of all participants and links (modes of transport, transport businesses). Evaluating the synergy degree is a key step in this development process. This paper takes the whole process of container multimodal transportation as the research perspective, analyzes the operation process, and treats the process as a production system composed of four subsystems: facilities and equipment, organizational management, business operations, and information interactions. Through in-depth interviews and an analysis of the academic literature and policy documents, we establish a synergy degree evaluation index system and measurement model of container multimodal transport based on synergy theory and case studies. The research results are consistent with the actual situation. From 2015 to 2018, the synergy of container multimodal transport system of China’s G port developed slowly, but generally moved in a more orderly direction.

Suggested Citation

  • Xiaoping Fang & Zhang Ji & Zhiya Chen & Weiya Chen & Chao Cao & Jinrong Gan, 2020. "Synergy Degree Evaluation of Container Multimodal Transport System," Sustainability, MDPI, vol. 12(4), pages 1-26, February.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:4:p:1487-:d:321520
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    References listed on IDEAS

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    Cited by:

    1. Yuxia Guo & Huiying Mao & Heping Ding & Xue Wu & Yujia Liu & Hongjun Liu & Shuling Zhou, 2022. "Data-Driven Coordinated Development of the Digital Economy and Logistics Industry," Sustainability, MDPI, vol. 14(14), pages 1-18, July.
    2. Teerasak Charoennapharat & Poti Chaopaisarn, 2022. "Factors Affecting Multimodal Transport during COVID-19: A Thai Service Provider Perspective," Sustainability, MDPI, vol. 14(8), pages 1-25, April.
    3. Marzena Kramarz & Katarzyna Dohn & Edyta Przybylska & Lilla Knop, 2020. "Scenarios for the Development of Multimodal Transport in the TRITIA Cross-Border Area," Sustainability, MDPI, vol. 12(17), pages 1-41, August.
    4. Tomasz Rokicki & Luiza Ochnio & Piotr Borawski & Aneta Beldycka-Borawska & Agata Zak, 2021. "Development of Intermodal Transport in the EU Countries," European Research Studies Journal, European Research Studies Journal, vol. 0(4B), pages 300-308.
    5. Vitalii Naumov & Igor Taran & Yana Litvinova & Marek Bauer, 2020. "Optimizing Resources of Multimodal Transport Terminal for Material Flow Service," Sustainability, MDPI, vol. 12(16), pages 1-13, August.

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