IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i14p10930-d1192415.html
   My bibliography  Save this article

Impact of Built Environment on Carbon Emissions from Cross-District Mobility: A Social Network Analysis Based on Private Vehicle Trajectory Big Data

Author

Listed:
  • Wenjie Chen

    (Business College, Central South University of Forestry and Technology, Changsha 410004, China)

  • Xiaogang Wu

    (Business College, Central South University of Forestry and Technology, Changsha 410004, China)

  • Zhu Xiao

    (College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China)

Abstract

The realization of the “double carbon” goals and the development of green transportation require a focused approach to reducing carbon emissions from private cars. Starting from the perspective of social network analysis, this paper constructs the carbon emission network of private car cross-district mobility based on vehicle trajectory big data in Guangzhou and Foshan and analyzes its spatial network characteristics. Next, the MRQAP model is constructed to examine the impact of built environment factors on carbon emissions from private cars. Furthermore, the paper explores the moderating effect of private car mobility in the central urban area. The results indicate the following: (1) Private vehicle cross-district mobility in the Guangzhou and Foshan region are closely interconnected and exhibit a phenomenon of central clustering. (2) Both population density and the number of road intersections have a positive relationship with private car carbon emissions, and after a series of robustness tests, the results are still valid. (3) Private vehicle mobility in central urban areas contributes to an increase in carbon emissions, and the positive impact is reinforced by population density, while road intersections and private car mobility in central urban areas have a substitutive effect on private car carbon emissions.

Suggested Citation

  • Wenjie Chen & Xiaogang Wu & Zhu Xiao, 2023. "Impact of Built Environment on Carbon Emissions from Cross-District Mobility: A Social Network Analysis Based on Private Vehicle Trajectory Big Data," Sustainability, MDPI, vol. 15(14), pages 1-20, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:10930-:d:1192415
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/14/10930/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/14/10930/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wu, Jishi & Jia, Peng & Feng, Tao & Li, Haijiang & Kuang, Haibo & Zhang, Junyi, 2023. "Uncovering the spatiotemporal impacts of built environment on traffic carbon emissions using multi-source big data," Land Use Policy, Elsevier, vol. 129(C).
    2. 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).
    3. Lin, Tao & Wang, Donggen & Guan, Xiaodong, 2017. "The built environment, travel attitude, and travel behavior: Residential self-selection or residential determination?," Journal of Transport Geography, Elsevier, vol. 65(C), pages 111-122.
    4. Muñiz, Ivan & Sánchez, Vania, 2018. "Urban Spatial Form and Structure and Greenhouse-gas Emissions From Commuting in the Metropolitan Zone of Mexico Valley," Ecological Economics, Elsevier, vol. 147(C), pages 353-364.
    5. Antonio M. Bento & Maureen L. Cropper & Ahmed Mushfiq Mobarak & Katja Vinha, 2005. "The Effects of Urban Spatial Structure on Travel Demand in the United States," The Review of Economics and Statistics, MIT Press, vol. 87(3), pages 466-478, August.
    6. Loiola, Eliane Maria & de Abreu, Nair Maria Maia & Boaventura-Netto, Paulo Oswaldo & Hahn, Peter & Querido, Tania, 2007. "A survey for the quadratic assignment problem," European Journal of Operational Research, Elsevier, vol. 176(2), pages 657-690, January.
    7. Reid Ewing & Fang Rong, 2008. "The impact of urban form on U.S. residential energy use," Housing Policy Debate, Taylor & Francis Journals, vol. 19(1), pages 1-30, January.
    8. Li, Tianshu & Song, Shunfeng & Yang, Yanmin, 2022. "Driving restrictions, traffic speeds and carbon emissions: Evidence from high-frequency data," China Economic Review, Elsevier, vol. 74(C).
    9. Pachauri, Shonali, 2004. "An analysis of cross-sectional variations in total household energy requirements in India using micro survey data," Energy Policy, Elsevier, vol. 32(15), pages 1723-1735, October.
    10. Graham, Daniel J., 2007. "Variable returns to agglomeration and the effect of road traffic congestion," Journal of Urban Economics, Elsevier, vol. 62(1), pages 103-120, July.
    11. Feng Lan & Qi Wu & Tao Zhou & Huili Da, 2018. "Spatial Effects of Public Service Facilities Accessibility on Housing Prices: A Case Study of Xi’an, China," Sustainability, MDPI, vol. 10(12), pages 1-20, November.
    12. Xue, Fei & Yao, Enjian, 2022. "Impact analysis of residential relocation on ownership, usage, and carbon-dioxide emissions of private cars," Energy, Elsevier, vol. 252(C).
    13. Shiraki, Hiroto & Matsumoto, Ken'ichi & Shigetomi, Yosuke & Ehara, Tomoki & Ochi, Yuki & Ogawa, Yuki, 2020. "Factors affecting CO2 emissions from private automobiles in Japan: The impact of vehicle occupancy," Applied Energy, Elsevier, vol. 259(C).
    14. Xu, Helian & Cheng, Long, 2016. "The QAP weighted network analysis method and its application in international services trade," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 448(C), pages 91-101.
    15. Lingchun Hou & Yuanping Wang & Yingheng Zheng & Aomei Zhang, 2022. "The Impact of Vehicle Ownership on Carbon Emissions in the Transportation Sector," Sustainability, MDPI, vol. 14(19), pages 1-23, October.
    16. Zhang, Yimeng & Wang, Feng & Zhang, Bing, 2023. "The impacts of household structure transitions on household carbon emissions in China," Ecological Economics, Elsevier, vol. 206(C).
    17. Michael Beenstock & Daniel Felsenstein, 2010. "Marshallian theory of regional agglomeration," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 155-172, March.
    18. David Dekker & David Krackhardt & Tom Snijders, 2007. "Sensitivity of MRQAP Tests to Collinearity and Autocorrelation Conditions," Psychometrika, Springer;The Psychometric Society, vol. 72(4), pages 563-581, December.
    19. Melia, Steve & Parkhurst, Graham & Barton, Hugh, 2011. "The paradox of intensification," Transport Policy, Elsevier, vol. 18(1), pages 46-52, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nur Fatma Fadilah Yaacob & Muhamad Razuhanafi Mat Yazid & Khairul Nizam Abdul Maulud & Shabir Hussain Khahro & Yasir Javed, 2024. "Spatio-Temporal Analysis of CO 2 Emissions from Vehicles in Urban Areas: A Satellite Imagery Approach," Sustainability, MDPI, vol. 16(23), pages 1-20, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Clark, Thomas A., 2013. "Metropolitan density, energy efficiency and carbon emissions: Multi-attribute tradeoffs and their policy implications," Energy Policy, Elsevier, vol. 53(C), pages 413-428.
    2. Wang, Yuanping & Hou, Lingchun & Hu, Lang & Cai, Weiguang & Wang, Lin & Dai, Cuilian & Chen, Juntao, 2023. "How family structure type affects household energy consumption: A heterogeneous study based on Chinese household evidence," Energy, Elsevier, vol. 284(C).
    3. Huang, Liqiao & Yoshida, Yoshikuni & Li, Yuan & Cheng, Nan & Xue, Jinjun & Long, Yin, 2024. "Sustainable lifestyle: Quantification and determining factors analysis of household carbon footprints in Japan," Energy Policy, Elsevier, vol. 186(C).
    4. Ahlfeldt, Gabriel M. & Pietrostefani, Elisabetta, 2019. "The economic effects of density: A synthesis," Journal of Urban Economics, Elsevier, vol. 111(C), pages 93-107.
    5. Konishi, Yoshifumi & Kuroda, Sho, 2023. "Why is Japan’s carbon emissions from road transportation declining?," Japan and the World Economy, Elsevier, vol. 66(C).
    6. Lee, Sungwon & Lee, Bumsoo, 2014. "The influence of urban form on GHG emissions in the U.S. household sector," Energy Policy, Elsevier, vol. 68(C), pages 534-549.
    7. Kettani, Maryème & Sanin, Maria Eugenia, 2024. "Energy consumption and energy poverty in Morocco," Energy Policy, Elsevier, vol. 185(C).
    8. Davide Burgalassi & Tommaso Luzzati, 2015. "Urban spatial structure and environmental emissions: a survey of the literature and some empirical evidence for Italian NUTS-3 regions," Discussion Papers 2015/199, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    9. Yixue Zhang & Steven Farber & Mischa Young, 2022. "Eliminating barriers to nighttime activity participation: the case of on-demand transit in Belleville, Canada," Transportation, Springer, vol. 49(5), pages 1385-1408, October.
    10. Belaïd, Fateh, 2016. "Understanding the spectrum of domestic energy consumption: Empirical evidence from France," Energy Policy, Elsevier, vol. 92(C), pages 220-233.
    11. Huang, Wen-Hsiu, 2015. "The determinants of household electricity consumption in Taiwan: Evidence from quantile regression," Energy, Elsevier, vol. 87(C), pages 120-133.
    12. Guojian Hu & Luyao Wei & Yuqi Lu, 2022. "Separation between firms’ headquarters and domiciles: an intraprovincial cross-city analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(2), pages 407-428, April.
    13. Parshall, Lily & Gurney, Kevin & Hammer, Stephen A. & Mendoza, Daniel & Zhou, Yuyu & Geethakumar, Sarath, 2010. "Modeling energy consumption and CO2 emissions at the urban scale: Methodological challenges and insights from the United States," Energy Policy, Elsevier, vol. 38(9), pages 4765-4782, September.
    14. Ala-Mantila, Sanna & Heinonen, Jukka & Junnila, Seppo, 2014. "Relationship between urbanization, direct and indirect greenhouse gas emissions, and expenditures: A multivariate analysis," Ecological Economics, Elsevier, vol. 104(C), pages 129-139.
    15. Glaeser, Edward L. & Kahn, Matthew E., 2010. "The greenness of cities: Carbon dioxide emissions and urban development," Journal of Urban Economics, Elsevier, vol. 67(3), pages 404-418, May.
    16. 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.
    17. Young-Eun Woo & Gi-Hyoug Cho, 2018. "Impact of the Surrounding Built Environment on Energy Consumption in Mixed-Use Building," Sustainability, MDPI, vol. 10(3), pages 1-16, March.
    18. Xiaoyue Zeng & Deliang Fan & Yunfei Zheng & Shijie Li, 2024. "Exploring the Differentiated Impact of Urban Spatial Form on Carbon Emissions: Evidence from Chinese Cities," Land, MDPI, vol. 13(6), pages 1-19, June.
    19. Lianyue Feng & Helian Xu & Gang Wu & Wenting Zhang, 2021. "Service trade network structure and its determinants in the Belt and Road based on the temporal exponential random graph model," Pacific Economic Review, Wiley Blackwell, vol. 26(5), pages 617-650, December.
    20. Xu Yang & Xuan Zou & Xueqi Liu & Qixuan Li & Siqian Zou & Ming Li, 2023. "The Spatiotemporal Pattern and Driving Mechanism of Urban Sprawl in China’s Counties," Land, MDPI, vol. 12(3), pages 1-16, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:10930-:d:1192415. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.