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How Does Perceived Neighborhood Environment Affect Commuting Mode Choice and Commuting CO 2 Emissions? An Empirical Study of Nanjing, China

Author

Listed:
  • Chen Cao

    (School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China)

  • Feng Zhen

    (School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China)

  • Xianjin Huang

    (School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China)

Abstract

Exploring the impacts of perceived neighborhood environment on commuting behavior and travel-related CO 2 emissions helps policymakers formulate regional low-carbon transport policies. Most studies have examined the impact of the objective measures of built environment on travel behavior and related CO 2 emissions, and few studies have focused on perceived neighborhood environment. This study develops a structural equation model and uses data from a self-administered survey of urban full-time employees in Nanjing, China to examine the direct and indirect effects of perceived neighborhood environment on commuting mode choice and commuting CO 2 emissions. The study shows that perceived service facilities has a significant direct effect on commuting mode and a significant indirect effect on commuting CO 2 through the mediating effect of commuting mode choice. While socio-demographic variables such as gender have a significant direct impact on commuting mode and commuting CO 2 emissions, they have an indirect impact on commuting mode and commuting CO 2 emissions through the intermediate variables (such as car ownership, perceived neighborhood environment and commuting distance). The conclusions of this study show that the potential of commuting CO 2 emissions reduction in China is enormous, and that policy interventions on commuting would help developing countries such as China achieve the goals of low-carbon transport and sustainable development.

Suggested Citation

  • Chen Cao & Feng Zhen & Xianjin Huang, 2022. "How Does Perceived Neighborhood Environment Affect Commuting Mode Choice and Commuting CO 2 Emissions? An Empirical Study of Nanjing, China," IJERPH, MDPI, vol. 19(13), pages 1-17, June.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:13:p:7649-:d:845368
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    as
    1. Jinhyun Hong & Cynthia Chen, 2014. "The role of the built environment on perceived safety from crime and walking: examining direct and indirect impacts," Transportation, Springer, vol. 41(6), pages 1171-1185, November.
    2. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    3. Pu Lyu & Yongjie Lin & Yuanqing Wang, 2019. "The impacts of household features on commuting carbon emissions: a case study of Xi’an, China," Transportation, Springer, vol. 46(3), pages 841-857, June.
    4. Hickman, Robin & Ashiru, Olu & Banister, David, 2011. "Transitions to low carbon transport futures: strategic conversations from London and Delhi," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1553-1562.
    5. Liang Ma & Jason Cao, 2019. "How perceptions mediate the effects of the built environment on travel behavior?," Transportation, Springer, vol. 46(1), pages 175-197, February.
    6. Kaveh Jahanshahi & Ying Jin, 2016. "The built environment typologies in the UK and their influences on travel behaviour: new evidence through latent categorisation in structural equation modelling," Transportation Planning and Technology, Taylor & Francis Journals, vol. 39(1), pages 59-77, February.
    7. Neves, Carlos Eduardo Teixeira & da Silva, Alan Ricardo & Arruda, Fabiana Serra de, 2021. "Exploring the link between built environment and walking choice in São Paulo city, Brazil," Journal of Transport Geography, Elsevier, vol. 93(C).
    8. 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.
    9. Ao, Yibin & Zhang, Yuting & Wang, Yan & Chen, Yunfeng & Yang, Linchuan, 2020. "Influences of rural built environment on travel mode choice of rural residents: The case of rural Sichuan," Journal of Transport Geography, Elsevier, vol. 85(C).
    10. Liang Ma & Jennifer Dill & Cynthia Mohr, 2014. "The objective versus the perceived environment: what matters for bicycling?," Transportation, Springer, vol. 41(6), pages 1135-1152, November.
    11. Jiabin Yu & Chen Yang & Shen Zhang & Diankai Zhai & Jianshe Li, 2020. "Comparison Study of Perceived Neighborhood-Built Environment and Elderly Leisure-Time Physical Activity between Hangzhou and Wenzhou, China," IJERPH, MDPI, vol. 17(24), pages 1-12, December.
    12. Yuanqing Wang & Liu Yang & Sunsheng Han & Chao Li & T. V. Ramachandra, 2017. "Urban CO2 emissions in Xi’an and Bangalore by commuters: implications for controlling urban transportation carbon dioxide emissions in developing countries," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(7), pages 993-1019, October.
    13. Liao, Yu & Zhang, Junfu, 2021. "Hukou status, housing tenure choice and wealth accumulation in urban China," China Economic Review, Elsevier, vol. 68(C).
    14. Guerra, Erick & Caudillo, Camilo & Monkkonen, Paavo & Montejano, Jorge, 2018. "Urban form, transit supply, and travel behavior in Latin America: Evidence from Mexico's 100 largest urban areas," Transport Policy, Elsevier, vol. 69(C), pages 98-105.
    15. 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.
    16. Santos, Georgina & Maoh, Hanna & Potoglou, Dimitris & von Brunn, Thomas, 2013. "Factors influencing modal split of commuting journeys in medium-size European cities," Journal of Transport Geography, Elsevier, vol. 30(C), pages 127-137.
    17. Xinyu Cao & Patricia Mokhtarian & Susan Handy, 2007. "Do changes in neighborhood characteristics lead to changes in travel behavior? A structural equations modeling approach," Transportation, Springer, vol. 34(5), pages 535-556, September.
    18. Aston, Laura & Currie, Graham & Kamruzzaman, Md. & Delbosc, Alexa & Brands, Ties & van Oort, Niels & Teller, David, 2021. "Multi-city exploration of built environment and transit mode use: Comparison of Melbourne, Amsterdam and Boston," Journal of Transport Geography, Elsevier, vol. 95(C).
    19. Hou, Yuting & Yap, Winston & Chua, Rochelle & Song, Siqi & Yuen, Belinda, 2020. "The associations between older adults’ daily travel pattern and objective and perceived built environment: A study of three neighbourhoods in Singapore," Transport Policy, Elsevier, vol. 99(C), pages 314-328.
    20. Brand, Christian & Tran, Martino & Anable, Jillian, 2012. "The UK transport carbon model: An integrated life cycle approach to explore low carbon futures," Energy Policy, Elsevier, vol. 41(C), pages 107-124.
    21. Xiaoquan Wang & Chunfu Shao & Chaoying Yin & Chunjiao Dong, 2021. "Exploring the effects of the built environment on commuting mode choice in neighborhoods near public transit stations: evidence from China," Transportation Planning and Technology, Taylor & Francis Journals, vol. 44(1), pages 111-127, January.
    22. Jinhyun Hong & Qing Shen & Lei Zhang, 2014. "How do built-environment factors affect travel behavior? A spatial analysis at different geographic scales," Transportation, Springer, vol. 41(3), pages 419-440, May.
    23. Gerson Ferrari & André Oliveira Werneck & Danilo Rodrigues da Silva & Irina Kovalskys & Georgina Gómez & Attilio Rigotti & Lilia Yadira Cortés Sanabria & Martha Cecilia Yépez García & Rossina G. Parej, 2020. "Association between Perceived Neighborhood Built Environment and Walking and Cycling for Transport among Inhabitants from Latin America: The ELANS Study," IJERPH, MDPI, vol. 17(18), pages 1-19, September.
    24. Andrew Hook & Victor Court & Benjamin K Sovacool & Steven Sorrell, 2020. "A Systematic Review of the Energy and Climate Impacts of Teleworking," Working Papers hal-03192905, HAL.
    25. Yi Lu & Guibo Sun & Chinmoy Sarkar & Zhonghua Gou & Yang Xiao, 2018. "Commuting Mode Choice in a High-Density City: Do Land-Use Density and Diversity Matter in Hong Kong?," IJERPH, MDPI, vol. 15(5), pages 1-13, May.
    26. ten Dam, Chris Djie & Kramer, Gert Jan & Ettema, Dick & Koning, Vinzenz, 2022. "Spatial and sociodemographic determinants of energy consumption for personal mobility in the Netherlands," Journal of Transport Geography, Elsevier, vol. 98(C).
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    2. Ying Huang & Yongli Zhang & Feifan Deng & Daiqing Zhao & Rong Wu, 2022. "Impacts of Built-Environment on Carbon Dioxide Emissions from Traffic: A Systematic Literature Review," IJERPH, MDPI, vol. 19(24), pages 1-17, December.
    3. Kedong Yin & Lu Liu & Haolei Gu, 2022. "Green Paradox or Forced Emission Reduction—The Dual Effects of Environmental Regulation on Carbon Emissions," IJERPH, MDPI, vol. 19(17), pages 1-15, September.

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