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Extreme Weather Influence on Carbon Emissions in Chinese Urban Traffic Environments

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  • Chao Wang
  • Yongheng Gu
  • Fei Ma
  • Yongping Li

Abstract

As concerns around climate change and global warming intensify, extreme weather events such as heavy rain, blizzards, and smog-induced haze have greatly impacted the commuting travel mode selection of urban residents. Such behavioral shifts have in turn led to changes of the carbon emissions generated from these residents. This paper constructs a “extreme weather ( W )–travel behavior ( B )–carbon emissions ( C )†research framework. Using a multiple logistic regression model, the transportation mode shift model, and the econometric model of urban resident’s travel behavior under the influence of extreme weather conditions were constructed. The marginal effects of weather on residents’ commuter behavior, through the use of transportation type and distance of travel were also obtained. The study found that the overall carbon dioxide emission levels of daily commuting has gradually decreased due to the influence of extreme weather. However, as some travelers still adopted high-emission commuting modes through the use of taxis or ride-sharing services, there was still a slight increase in CCDE levels in certain extreme weather contexts. In particular, when haze was prevalent, vehicle restriction policies only reduced CCDE by 2.18%, while the remaining 77.83% of total CCDE remaining unchanged. This research provides a key reference point for governmental departments in urban transportation management and environmental protection to formulate policies.

Suggested Citation

  • Chao Wang & Yongheng Gu & Fei Ma & Yongping Li, 2022. "Extreme Weather Influence on Carbon Emissions in Chinese Urban Traffic Environments," SAGE Open, , vol. 12(3), pages 21582440221, August.
    • Handle: RePEc:sae:sagope:v:12:y:2022:i:3:p:21582440221116338
    DOI: 10.1177/21582440221116338
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    1. Cervero, Robert, 1996. "Mixed land-uses and commuting: Evidence from the American Housing Survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(5), pages 361-377, September.
    2. Böcker, Lars & Prillwitz, Jan & Dijst, Martin, 2013. "Climate change impacts on mode choices and travelled distances: a comparison of present with 2050 weather conditions for the Randstad Holland," Journal of Transport Geography, Elsevier, vol. 28(C), pages 176-185.
    3. Yanchun Yi & Yajun Wang & Yaqin Li & Ji Qi, 2021. "Impact of urban density on carbon emissions in China," Applied Economics, Taylor & Francis Journals, vol. 53(53), pages 6153-6165, November.
    4. Wang, Chao & Kim, Yul-Seong & Kim, Chi Yeol, 2021. "Causality between logistics infrastructure and economic development in China," Transport Policy, Elsevier, vol. 100(C), pages 49-58.
    5. Brand, Christian & Goodman, Anna & Rutter, Harry & Song, Yena & Ogilvie, David, 2013. "Associations of individual, household and environmental characteristics with carbon dioxide emissions from motorised passenger travel," Applied Energy, Elsevier, vol. 104(C), pages 158-169.
    6. Peng Chen & Jiquan Zhang & Xinyu Jiang & Xingpeng Liu & Yulong Bao & Yingyue Sun, 2012. "Scenario Simulation-Based Assessment of Trip Difficulty for Urban Residents under Rainstorm Waterlogging," IJERPH, MDPI, vol. 9(6), pages 1-18, May.
    7. Liu, Chengxi & Susilo, Yusak O. & Karlström, Anders, 2015. "The influence of weather characteristics variability on individual’s travel mode choice in different seasons and regions in Sweden," Transport Policy, Elsevier, vol. 41(C), pages 147-158.
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    1. Wang, Chao & Yang, Jae-Jang & Zhang, Xinyu & Lee, Yong-Ki, 2024. "Does value orientation predict buying intention of new energy vehicles?," Transport Policy, Elsevier, vol. 153(C), pages 68-75.

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