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Research on the Regional Transport Development Index and Its Application in Decision Making and Sustainable Development of Transport Services: A Case Study in Yunnan Province, China

Author

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  • Wanyu Yang

    (Department of Transport of Yunnan Province, No. 1 Huancheng West Road, Kunming 650031, China)

  • Xuebing Ouyang

    (Department of Transport of Yunnan Province, No. 1 Huancheng West Road, Kunming 650031, China)

  • Tiezhu Li

    (School of Transportation, Southeast University, No. 2 Sipailou, Nanjing 210096, China)

Abstract

Transport and macroeconomic development are closely linked. Under the comprehensive management system for China’s rail, road, water, and air transport, there is an urgent need for a comprehensive, timely, and accurate index that reflects the relationship between transport and the macroeconomy, to help the government analyze the current situation of transport, judge the macroeconomic and sustainable transport trends, and make scientific decisions, so as to achieve the carbon emission peak and carbon neutrality goals. This paper innovatively proposed the Transport Development Index (TDI), a new evaluation system with 38 indicators, covering the infrastructure, development scale, efficiency, sustainability, and safety and profitability of the four modes of transport: road, rail, water, and air. The analytic hierarchy process and the entropy weight method were used to determine the weights for the indicators. Yunnan was selected as a case study to calculate the TDI values for 2016 to 2021 and analyze the transport service performance for each year. The study results show that the TDI can be used for analyzing the regional transport services and economic operation status, proving the positive effect of transport development on the macroeconomy or warning of possible risks, and facilitating scientific decision making for sustainable transport development.

Suggested Citation

  • Wanyu Yang & Xuebing Ouyang & Tiezhu Li, 2023. "Research on the Regional Transport Development Index and Its Application in Decision Making and Sustainable Development of Transport Services: A Case Study in Yunnan Province, China," Sustainability, MDPI, vol. 15(3), pages 1-16, January.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2307-:d:1047863
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    1. David Levinson, 2003. "Perspectives on Efficiency in Transportation," Working Papers 200303, University of Minnesota: Nexus Research Group.
    2. Zuzanna Kłos-Adamkiewicz & Piotr Gutowski, 2022. "The Outbreak of COVID-19 Pandemic in Relation to Sense of Safety and Mobility Changes in Public Transport Using the Example of Warsaw," Sustainability, MDPI, vol. 14(3), pages 1-22, February.
    3. Soushi Suzuki & Peter Nijkamp, 2011. "A stepwise-projection data envelopment analysis for public transport operations in Japan," Letters in Spatial and Resource Sciences, Springer, vol. 4(2), pages 139-156, July.
    4. Amekudzi, Adjo A. & Jotin Khisty, C. & Khayesi, Meleckidzedeck, 2009. "Using the sustainability footprint model to assess development impacts of transportation systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 339-348, May.
    5. Milan, Janic, 1996. "The trans European railway network : Three levels of services for the passengers," Transport Policy, Elsevier, vol. 3(3), pages 99-104, July.
    6. Elżbieta Szaruga & Elżbieta Załoga, 2022. "Environmental Management from the Point of View of the Energy Intensity of Road Freight Transport and Shocks," IJERPH, MDPI, vol. 19(21), pages 1-22, November.
    7. Sun, Yu & Cui, Yin, 2018. "Evaluating the coordinated development of economic, social and environmental benefits of urban public transportation infrastructure: Case study of four Chinese autonomous municipalities," Transport Policy, Elsevier, vol. 66(C), pages 116-126.
    8. Ülengin, Füsun & Kabak, Özgür & Önsel, Sule & Ülengin, Burç & Aktas, Emel, 2010. "A problem-structuring model for analyzing transportation-environment relationships," European Journal of Operational Research, Elsevier, vol. 200(3), pages 844-859, February.
    9. Kajal Lahiri & Herman O. Stekler & Wenxiong Yao & Peg Young, 2003. "Monthly Output Index for the U.S. Transportation Sector," Discussion Papers 03-12, University at Albany, SUNY, Department of Economics.
    10. Alises, Ana & Vassallo, José Manuel, 2015. "Comparison of road freight transport trends in Europe. Coupling and decoupling factors from an Input–Output structural decomposition analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 141-157.
    11. Vassilios Profillidis & George Botzoris & Athanasios Galanis, 2018. "Decoupling of economic activity from transport-related energy consumption: an analysis for European Union member countries," International Journal of Innovation and Sustainable Development, Inderscience Enterprises Ltd, vol. 12(3), pages 271-286.
    12. Sorrell, Steve & Lehtonen, Markku & Stapleton, Lee & Pujol, Javier & Toby Champion,, 2012. "Decoupling of road freight energy use from economic growth in the United Kingdom," Energy Policy, Elsevier, vol. 41(C), pages 84-97.
    13. Pestana Barros, Carlos & Dieke, Peter U.C., 2007. "Performance evaluation of Italian airports: A data envelopment analysis," Journal of Air Transport Management, Elsevier, vol. 13(4), pages 184-191.
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