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Rational planning strategies of urban structure, metro, and car use for reducing transport carbon dioxide emissions in developing cities

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  • Liu Yang

    (Northwest University)

  • Yuanqing Wang

    (Chang’an University)

  • Yujun Lian

    (Sun Yat-Sen University)

  • Xin Dong

    (Northwest University)

  • Jianhong Liu

    (Northwest University)

  • Yuanyuan Liu

    (Guangdong University of Technology)

  • Zhouhao Wu

    (Tsinghua University)

Abstract

Understanding transport carbon dioxide (CO2) emission impact factors’ effects is important for the rational planning strategy making in reducing the emissions. This study determines transport emission impact factors’ heterogeneous effects and proposes urban and transport planning strategies in typical developing cities. Quantile regression is applied to overcome the insufficiency of factors’ mean effects and to avoid the biased estimations when the outcome variable is non-normally distributed and heteroscedastic. It is found that, from the low emitters at the 10th quantile to the high emitters at the 90th quantile, transport emissions’ increasing rates are 8.8 times and 79.6 times that of car availability and home-to-center/subcenter distance (HCD/HSD), respectively. When commute distance reaches 5.8 km or farther, and car availability percentage is 41.2% or greater, the effects that metro services have on reducing emissions decrease by 37.8%. Polycentric and satellite city forms can greatly reduce emission increases, which are caused by HCD growth when HCD is more than 10–15 km. According to these findings, the following planning strategies are recommended, including limiting oil-fueled car use to about 40% among the urban residents, forming employment and life circles within a 5–6 km radius, allocating better public transit services around metro stations, providing high service levels of bicycle lanes, pedestrian streets, and greenways to attract more transfers to metros, controlling urban radius within 10–15 km under the monocentric pattern, and fostering polycentric structures and satellite cities when city continuously sprawls. This study can provide empirical evidence and reference value globally.

Suggested Citation

  • Liu Yang & Yuanqing Wang & Yujun Lian & Xin Dong & Jianhong Liu & Yuanyuan Liu & Zhouhao Wu, 2023. "Rational planning strategies of urban structure, metro, and car use for reducing transport carbon dioxide emissions in developing cities," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6987-7010, July.
  • Handle: RePEc:spr:endesu:v:25:y:2023:i:7:d:10.1007_s10668-022-02344-0
    DOI: 10.1007/s10668-022-02344-0
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    1. Brand, Christian & Boardman, Brenda, 2008. "Taming of the few--The unequal distribution of greenhouse gas emissions from personal travel in the UK," Energy Policy, Elsevier, vol. 36(1), pages 224-238, January.
    2. Büchs, Milena & Schnepf, Sylke V., 2013. "Who emits most? Associations between socio-economic factors and UK households' home energy, transport, indirect and total CO2 emissions," Ecological Economics, Elsevier, vol. 90(C), pages 114-123.
    3. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    4. Huang, Xiaoyan & (Jason) Cao, Xinyu & Yin, Jiangbin & Cao, Xiaoshu, 2019. "Can metro transit reduce driving? Evidence from Xi'an, China," Transport Policy, Elsevier, vol. 81(C), pages 350-359.
    5. Carlsson-Kanyama, Annika & Linden, Anna-Lisa, 1999. "Travel patterns and environmental effects now and in the future:: implications of differences in energy consumption among socio-economic groups," Ecological Economics, Elsevier, vol. 30(3), pages 405-417, September.
    6. Timilsina, Govinda R. & Shrestha, Ashish, 2009. "Transport sector CO2 emissions growth in Asia: Underlying factors and policy options," Energy Policy, Elsevier, vol. 37(11), pages 4523-4539, November.
    7. Wang, Shaojian & Zeng, Jingyuan & Liu, Xiaoping, 2019. "Examining the multiple impacts of technological progress on CO2 emissions in China: A panel quantile regression approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 140-150.
    8. Elijah Knaap & Chengri Ding & Yi Niu & Sabyasachee Mishra, 2016. "Polycentrism as a sustainable development strategy: empirical analysis from the state of Maryland," Journal of Urbanism: International Research on Placemaking and Urban Sustainability, Taylor & Francis Journals, vol. 9(1), pages 73-92, March.
    9. Ali Modarres, 2011. "Polycentricity, Commuting Pattern, Urban Form: The Case of Southern California," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 35(6), pages 1193-1211, November.
    10. 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.
    11. Marlon G. Boarnet & Xize Wang & Douglas Houston, 2017. "Can New Light Rail Reduce Personal Vehicle Carbon Emissions? A Before‐After, Experimental‐Control Evaluation In Los Angeles," Journal of Regional Science, Wiley Blackwell, vol. 57(3), pages 523-539, June.
    12. Xu, Bin & Lin, Boqiang, 2016. "A quantile regression analysis of China's provincial CO2 emissions: Where does the difference lie?," Energy Policy, Elsevier, vol. 98(C), pages 328-342.
    13. Andrea Cirilli & Paolo Veneri, 2014. "Spatial Structure and Carbon Dioxide (CO 2 ) Emissions Due to Commuting: An Analysis of Italian Urban Areas," Regional Studies, Taylor & Francis Journals, vol. 48(12), pages 1993-2005, December.
    14. Paolo Veneri, 2010. "Urban Polycentricity and the Costs of Commuting: Evidence from Italian Metropolitan Areas," Growth and Change, Wiley Blackwell, vol. 41(3), pages 403-429, September.
    15. Brand, Christian & Preston, John M., 2010. "'60-20 emission'--The unequal distribution of greenhouse gas emissions from personal, non-business travel in the UK," Transport Policy, Elsevier, vol. 17(1), pages 9-19, January.
    16. Timilsina, Govinda R. & Shrestha, Ashish, 2009. "Why have CO2 emissions increased in the transport sector in Asia ? underlying factors and policy options," Policy Research Working Paper Series 5098, The World Bank.
    17. Cao, Xinyu Jason, 2019. "Examining the effect of the Hiawatha LRT on auto use in the Twin Cities," Transport Policy, Elsevier, vol. 81(C), pages 284-292.
    18. Daniel G. Chatman, 2013. "Does TOD Need the T?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 79(1), pages 17-31, January.
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