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Exploring the Characteristics of Green Travel and the Satisfaction It Provides in Cities Located in Cold Regions of China: An Empirical Study in Heilongjiang Province

Author

Listed:
  • Wenhui Zhang

    (School of Traffic and Transportation, Northeast Forestry University, Harbin 150040, China)

  • Hao Chen

    (School of Traffic and Transportation, Northeast Forestry University, Harbin 150040, China)

  • Hongzhuo Zhou

    (School of Traffic and Transportation, Northeast Forestry University, Harbin 150040, China)

  • Changhang Wu

    (School of Traffic and Transportation, Northeast Forestry University, Harbin 150040, China)

  • Ziwen Song

    (School of Traffic and Transportation, Northeast Forestry University, Harbin 150040, China)

Abstract

Green travel can decrease energy consumption and air pollution. Many cities in China have implemented measures encouraging residents to take public transport, ride bicycles, or walk. However, non-green travel is still popular in some northern cities due to prolonged cold weather. In order to understand the characteristics of green travel and its use by urban residents in Heilongjiang Province, a typically cold region, this study conducted traffic surveys in 13 cities in Heilongjiang Province. Through investigation and calculation of the data, we obtained key indicators such as the share rate of motorized travel for public transit and the satisfaction derived from green travel. According to the results of the data analysis, green energy buses are becoming increasingly popular in most cities in Heilongjiang Province. However, green travel infrastructure has failed to be updated on time, resulting in low satisfaction with travel in some cities, especially in terms of the waiting environment in winter. Results indicate the level of exploration and development of green transportation resources significantly differed across cities in Heilongjiang Province. By implementing targeted policies such as developing NEBs, obsoleting TEBs and old NEBs, and optimizing the bus network, old industrial cities can be reinvigorated. This will support governmental decisions and contribute to reducing carbon emissions.

Suggested Citation

  • Wenhui Zhang & Hao Chen & Hongzhuo Zhou & Changhang Wu & Ziwen Song, 2023. "Exploring the Characteristics of Green Travel and the Satisfaction It Provides in Cities Located in Cold Regions of China: An Empirical Study in Heilongjiang Province," Sustainability, MDPI, vol. 15(8), pages 1-15, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:6449-:d:1120313
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    References listed on IDEAS

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    1. Chengcheng Xu & Shuyue Wu, 2019. "Evaluating the Effects of Household Characteristics on Household Daily Traffic Emissions Based on Household Travel Survey Data," Sustainability, MDPI, vol. 11(6), pages 1-12, March.
    2. Liu, Qiang & Homma, Riken & Iki, Kazuhisa, 2020. "Evaluating cyclists’ perception of satisfaction using 360° videos," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 205-213.
    3. Meng, Meng & Rau, Andreas & Mahardhika, Hita, 2018. "Public transport travel time perception: Effects of socioeconomic characteristics, trip characteristics and facility usage," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 24-37.
    4. Ko, Joonho & Lee, Sugie & Byun, Miree, 2019. "Exploring factors associated with commute mode choice: An application of city-level general social survey data," Transport Policy, Elsevier, vol. 75(C), pages 36-46.
    5. Zhang, Linling & Long, Ruyin & Li, Wenbo & Wei, Jia, 2020. "Potential for reducing carbon emissions from urban traffic based on the carbon emission satisfaction: Case study in Shanghai," Journal of Transport Geography, Elsevier, vol. 85(C).
    6. Anqing Zhu & Youyun Wen & Melike Kaplan, 2021. "Green Logistics Location-Routing Optimization Solution Based on Improved GA A1gorithm considering Low-Carbon and Environmental Protection," Journal of Mathematics, Hindawi, vol. 2021, pages 1-16, November.
    7. Friman, Margareta & Gärling, Tommy & Ettema, Dick & Olsson, Lars E., 2017. "How does travel affect emotional well-being and life satisfaction?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 170-180.
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    1. Yu Du & Xinyao Wang & Chenxi Dou & Yongjian Wu & Jiayi Li, 2024. "Investigating the Multifaceted Impact of Urban Environment on Winter Green Travel in Cold Regions: An Empirical Study of Shenyang, China," Sustainability, MDPI, vol. 16(21), pages 1-31, October.

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