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New Energy Commuting Optimization under Low-Carbon Orientation: A Case Study of Xi’an Metropolitan Area

Author

Listed:
  • Xin Dai

    (School of Transportation Engineering, Chang’an University, Xi’an 710061, China)

  • Tianshan Ma

    (School of Economics and Management, Chang’an University, Xi’an 710061, China)

  • Enyi Zhou

    (School of Economics and Management, Xi’an University of Architecture and Technology Huaqing College, Xi’an 710043, China)

Abstract

Low-carbon travel is an important part of low-carbon cities and low-carbon transportation, and low-carbon transportation is an inevitable choice to slow down the growth of carbon emissions in China. All countries in the world are actively promoting new energy vehicles and attach great importance to the application of the new energy industry in urban transportation. Commuting is an important part of urban life, and the choice of travel behavior has an important impact on traffic and environmental protection. Taking the Xi’an metropolitan area as an example, this paper expounds on the integrated development path of the industrial chain of new energy + travel in the metropolitan area and clarifies the energy transformation model of the integrated development of low-carbon transportation and energy. From the perspective of green and low-carbon, 1000 commuters were interviewed using a questionnaire survey, and the cumulative prospect model was used to verify the internal mechanism affecting commuters in metropolitan areas to choose new energy commuting. The results of the study show that new energy transportation modes play an important role in the low-carbon economy, and under different scenarios and assumptions, there are significant differences in the cumulative prospect values of the subway, new energy buses and fuel private cars, and corresponding optimization measures are proposed to increase the proportion of new energy commuting trips. The results will help further promote the development of a low-carbon economy and energy integration in the field of transportation and provide a reference for the sustainable development of public transportation.

Suggested Citation

  • Xin Dai & Tianshan Ma & Enyi Zhou, 2023. "New Energy Commuting Optimization under Low-Carbon Orientation: A Case Study of Xi’an Metropolitan Area," Energies, MDPI, vol. 16(23), pages 1-17, December.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:23:p:7916-:d:1293937
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    References listed on IDEAS

    as
    1. An-Jin Shie & You-Yu Dai & Ming-Xing Shen & Li Tian & Ming Yang & Wen-Wei Luo & Yenchun Jim Wu & Zhao-Hui Su, 2022. "Diamond Model of Green Commitment and Low-Carbon Travel Motivation, Constraint, and Intention," IJERPH, MDPI, vol. 19(14), pages 1-21, July.
    2. Fernández-Dacosta, Cora & Shen, Li & Schakel, Wouter & Ramirez, Andrea & Kramer, Gert Jan, 2019. "Potential and challenges of low-carbon energy options: Comparative assessment of alternative fuels for the transport sector," Applied Energy, Elsevier, vol. 236(C), pages 590-606.
    3. Geng, Kexin & Wang, Yacan & Cherchi, Elisabetta & Guarda, Pablo, 2023. "Commuter departure time choice behavior under congestion charge: Analysis based on cumulative prospect theory," Transportation Research Part A: Policy and Practice, Elsevier, vol. 168(C).
    4. Zeng, Yuan & Tan, Xianchun & Gu, Baihe & Wang, Yi & Xu, Baoguang, 2016. "Greenhouse gas emissions of motor vehicles in Chinese cities and the implication for China’s mitigation targets," Applied Energy, Elsevier, vol. 184(C), pages 1016-1025.
    5. Kenneth Gillingham & James H. Stock, 2018. "The Cost of Reducing Greenhouse Gas Emissions," Journal of Economic Perspectives, American Economic Association, vol. 32(4), pages 53-72, Fall.
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