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Using Mixed Methods to Identify Evaluation Indicators for Green Railway Transportation Operations in China

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  • Weiya Chen

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

  • Yongzhuo Yu

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

  • Xiaoping Fang

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

  • Ziyue Yuan

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

  • Shiying Tong

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

Abstract

The transition of China’s railways from aggressive expansion to sustainable development has sparked widespread discussions on green railways. Previous studies have primarily focused on the fundamental aspects of green rail design and construction. However, the green operation phase, one of the most critical stages in the entire lifecycle of railways, has been overlooked. This study used a mixed-method approach, combining systematic review and qualitative analysis, to identify significant environmental, economic, and social evaluation indicators for green railway transportation operations. Through an examination of 123 articles and interviews with four professors in academia, two Planning and Design Institute technicians, one government staff, and one railway practitioner, this study identified 17 key indicators associated with green operations in railways. The results showed that previous studies in the environmental aspect primarily focused on noise pollution, water pollution, solid waste, ecological conservation, and the use of construction materials. In the social part, the main concern is social equality. Green railway operations have the potential to impact social equity through the movement of people and goods, which makes accessibility a preferable evaluation measure. Regarding economic indicators, the influencing factors are more complex (such as regional GDP per capita), making it difficult to evaluate the effectiveness of green railway operations directly. We suggest the inclusion of more economic-related indicators that directly correlate with green operations in railways.

Suggested Citation

  • Weiya Chen & Yongzhuo Yu & Xiaoping Fang & Ziyue Yuan & Shiying Tong, 2023. "Using Mixed Methods to Identify Evaluation Indicators for Green Railway Transportation Operations in China," Sustainability, MDPI, vol. 15(24), pages 1-21, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:24:p:16957-:d:1302661
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    References listed on IDEAS

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    1. Liu, Weisheng & Lin, Boqiang, 2021. "Electrification of rails in China: Its impact on energy conservation and emission reduction," Energy, Elsevier, vol. 226(C).
    2. Yang, Xuehui & Zhang, Huirong & Lin, Shanlang & Zhang, Jiaping & Zeng, Jianlong, 2021. "Does high-speed railway promote regional innovation growth or innovation convergence?," Technology in Society, Elsevier, vol. 64(C).
    3. Weiya Chen & Xiaoqi Shi & Xiaoping Fang & Yongzhuo Yu & Shiying Tong, 2023. "Research Context and Prospect of Green Railways in China Based on Bibliometric Analysis," Sustainability, MDPI, vol. 15(7), pages 1-12, March.
    4. Nie, Liang & Zhang, ZhongXiang, 2023. "Is high-speed rail heading towards a low-carbon industry? Evidence from a quasi-natural experiment in China," Resource and Energy Economics, Elsevier, vol. 72(C).
    5. Jian >Hong Wu & Chris Nash, 2000. "Railway reform in China," Transport Reviews, Taylor & Francis Journals, vol. 20(1), pages 25-48, January.
    6. Akihiro Otsuka, 2022. "Assessment of the improvement in energy intensity by the new high-speed railway in Japan," Asia-Pacific Journal of Regional Science, Springer, vol. 6(1), pages 267-282, February.
    7. Ziyang Chen & Xiao Feng & Ziwen He, 2022. "A Key to Stimulate Green Technology Innovation in China: The Expansion of High-Speed Railways," IJERPH, MDPI, vol. 20(1), pages 1-21, December.
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