IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i7p3828-d530961.html
   My bibliography  Save this article

The Nexus between Urbanization and Traffic Accessibility in the Middle Reaches of the Yangtze River Urban Agglomerations, China

Author

Listed:
  • Fengjian Ge

    (Department of Land Resource Management, School of Public Administration, China University of Geosciences, Wuhan 430074, China)

  • Wanxu Chen

    (Department of Geography, School of Geography and Information Engineering, China University of Geosciences, No. 388 Lumo Road, Wuhan 430074, China)

  • Yuanyuan Zeng

    (4th Planning & Design Office, Guangdong Urban & Rural Planning and Design Institute, No. 483 Nanzhou Road, Haizhu District, Guangzhou 510290, China)

  • Jiangfeng Li

    (Department of Land Resource Management, School of Public Administration, China University of Geosciences, Wuhan 430074, China)

Abstract

China has entered the stage where urban agglomerations underpin and spearhead the county’s urbanization. Urban agglomerations in China have become economic growth poles, and the constantly improving transport networks in these agglomerations bring about opportunities for redistributing labor forces and promoting regional economic development, trade, and social progress for all. This is the foundation and fuel for urban development. However, lack of knowledge of the spatial features of, and the interrelationship between, regional urbanization and traffic accessibility constrains effective urban planning and decision-making. To fill this gap, this study attempted to evaluate the spatiotemporal distribution characteristics of urbanization levels and traffic accessibility in 1995, 2005, and 2015 in the Middle Reaches of the Yangtze River Urban Agglomerations (MRYRUA), China. The spatial interaction, spatial dependence effect, and spatial spillover effect between urbanization and traffic accessibility were tested by employing the bivariate spatial autocorrelation model and spatial regression models. The results showed that the urbanization level and traffic accessibility in the MRYRUA shot up over time and manifested similar spatial distribution characteristics. The global bivariate spatial autocorrelation coefficients were positive and significant during the period studied, and the main relationship types were the high urbanization and high traffic accessibility types and low urbanization and low traffic accessibility types. The spatial regression results showed that there was a significant positive association between urbanization and traffic accessibility, but with a significant scale effect. Urbanization is not only affected by the traffic accessibility of the individual grid unit but also by those in the adjacent or further grid units. The findings in this study provide important implications for urbanization development and transportation planning. The spatial dependence effect and spatial spillover effect between urbanization and traffic accessibility should be considered in future urban planning and transportation planning. The rational allocation of resources and inter-regional joint management can be an effective path toward regional sustainability.

Suggested Citation

  • Fengjian Ge & Wanxu Chen & Yuanyuan Zeng & Jiangfeng Li, 2021. "The Nexus between Urbanization and Traffic Accessibility in the Middle Reaches of the Yangtze River Urban Agglomerations, China," IJERPH, MDPI, vol. 18(7), pages 1-17, April.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:7:p:3828-:d:530961
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/7/3828/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/7/3828/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Redding, Stephen J. & Turner, Matthew A., 2015. "Transportation Costs and the Spatial Organization of Economic Activity," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 1339-1398, Elsevier.
    2. Zhu, Zhenran & Zhang, Anming & Zhang, Yahua, 2018. "Connectivity of intercity passenger transportation in China: A multi-modal and network approach," Journal of Transport Geography, Elsevier, vol. 71(C), pages 263-276.
    3. Jan K. Brueckner, 2003. "Airline Traffic and Urban Economic Development," Urban Studies, Urban Studies Journal Limited, vol. 40(8), pages 1455-1469, July.
    4. Xiao, Wei & Zhao, Guochang, 2018. "Agricultural Land and Rural-Urban Migration in China: A New Pattern," RIEI Working Papers 2018-09, Xi'an Jiaotong-Liverpool University, Research Institute for Economic Integration.
    5. Jones, Donald W., 1991. "How urbanization affects energy-use in developing countries," Energy Policy, Elsevier, vol. 19(7), pages 621-630, September.
    6. Su, Yaqin & Tesfazion, Petros & Zhao, Zhong, 2018. "Where are the migrants from? Inter- vs. intra-provincial rural-urban migration in China," China Economic Review, Elsevier, vol. 47(C), pages 142-155.
    7. Anselin, Luc, 1988. "A test for spatial autocorrelation in seemingly unrelated regressions," Economics Letters, Elsevier, vol. 28(4), pages 335-341.
    8. Feng Han & Rui Xie & Mingyong Lai, 2018. "Traffic density, congestion externalities, and urbanization in China," Spatial Economic Analysis, Taylor & Francis Journals, vol. 13(4), pages 400-421, October.
    9. De Vos, Jonas & Witlox, Frank, 2013. "Transportation policy as spatial planning tool; reducing urban sprawl by increasing travel costs and clustering infrastructure and public transportation," Journal of Transport Geography, Elsevier, vol. 33(C), pages 117-125.
    10. Wanxu Chen & Guangqing Chi & Jiangfeng Li, 2020. "Ecosystem Services and Their Driving Forces in the Middle Reaches of the Yangtze River Urban Agglomerations, China," IJERPH, MDPI, vol. 17(10), pages 1-19, May.
    11. Guangqing Chi & Jun Zhu, 2008. "Spatial Regression Models for Demographic Analysis," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 27(1), pages 17-42, February.
    12. WANG, Sophie Xuefei & Yu Benjamin, FU, 2019. "Labor mobility barriers and rural-urban migration in transitional China," China Economic Review, Elsevier, vol. 53(C), pages 211-224.
    13. Chi, Guangqing & Ho, Hung Chak, 2018. "Population stress: A spatiotemporal analysis of population change and land development at the county level in the contiguous United States, 2001–2011," Land Use Policy, Elsevier, vol. 70(C), pages 128-137.
    14. Wu, Changyan & Huang, Xianjin & Chen, Bowen, 2020. "Telecoupling mechanism of urban land expansion based on transportation accessibility: A case study of transitional Yangtze River economic Belt, China," Land Use Policy, Elsevier, vol. 96(C).
    15. Wang, Feng & Wei, Xianjin & Liu, Juan & He, Lingyun & Gao, Mengnan, 2019. "Impact of high-speed rail on population mobility and urbanisation: A case study on Yangtze River Delta urban agglomeration, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 99-114.
    16. Liu, Tie-Ying & Su, Chi-Wei, 2021. "Is transportation improving urbanization in China?," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    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. Hong Zhu & Jin Li & Zhenjie Yuan & Jie Li, 2023. "Bibliometric Analysis of Spatial Accessibility from 1999–2022," Sustainability, MDPI, vol. 15(18), pages 1-17, September.
    2. Yong Jiang & Yangyang Liu & Zelei Liu & Chunwei Wang & Zhipeng Shi & Hongbo Zhao & Dongqi Sun & Wei Sun & Xiangquan Wang, 2022. "Spatial Distribution Characteristics of Public Fitness Venues: An Urban Accessibility Perspective," Sustainability, MDPI, vol. 15(1), pages 1-16, December.
    3. Ma, Wen & Fang, Zhuoqiong & Zhang, Xiangfeng, 2023. "Comparative analysis of structural characteristics of China's 18 typical urban agglomerations based on flows of various elements," Ecological Modelling, Elsevier, vol. 479(C).
    4. Jingbin Wang & Huiling Qiao & Jing Liu & Bo Li, 2022. "Does the Establishment of National New Areas Improve Urban Ecological Efficiency? Empirical Evidence Based on Staggered DID Model," IJERPH, MDPI, vol. 19(20), pages 1-21, October.
    5. Zhiguo Shao & Li Zhang & Chuanfeng Han & Lingpeng Meng, 2022. "Measurement and Prediction of Urban Land Traffic Accessibility and Economic Contact Based on GIS: A Case Study of Land Transportation in Shandong Province, China," IJERPH, MDPI, vol. 19(22), pages 1-15, November.

    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. Luwen Liu & Xingrong Chen & Wanxu Chen & Xinyue Ye, 2020. "Identifying the Impact of Landscape Pattern on Ecosystem Services in the Middle Reaches of the Yangtze River Urban Agglomerations, China," IJERPH, MDPI, vol. 17(14), pages 1-26, July.
    2. Chen, Wanxu & Chi, Guangqing, 2022. "Urbanization and ecosystem services: The multi-scale spatial spillover effects and spatial variations," Land Use Policy, Elsevier, vol. 114(C).
    3. Sravaitri CHAUDHURI & Ranajoy BHATTACHARYYA & Sukanta BHATTACHARYA, 2021. "Rural urban migration with heterogeneous firms, heterogonous laborer and the effect of wage subsidy," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(3(628), A), pages 143-156, Autumn.
    4. Bishal Bhakta Kasu & Guangqing Chi, 2018. "The Evolving and Complementary Impacts of Transportation Infrastructures on Population and Employment Change in the United States, 1970–2010," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 37(6), pages 1003-1029, December.
    5. Wanxu Chen & Guangqing Chi & Jiangfeng Li, 2020. "Ecosystem Services and Their Driving Forces in the Middle Reaches of the Yangtze River Urban Agglomerations, China," IJERPH, MDPI, vol. 17(10), pages 1-19, May.
    6. Redondi, Renato & Birolini, Sebastian & Morlotti, Chiara & Paleari, Stefano, 2021. "Connectivity measures and passengers’ behavior: Comparing conventional connectivity models to predict itinerary market shares," Journal of Air Transport Management, Elsevier, vol. 90(C).
    7. Lenaerts, Bert & Allroggen, Florian & Malina, Robert, 2021. "The economic impact of aviation: A review on the role of market access," Journal of Air Transport Management, Elsevier, vol. 91(C).
    8. Nicholas Sheard, 2015. "Airport Improvements and Urban Growth," Working Papers halshs-01117913, HAL.
    9. Bowen Zhou & Jieling Jin & Helai Huang & Yuanchang Deng, 2023. "Exploring the Macro Economic and Transport Influencing Factors of Urban Public Transport Mode Share: A Bayesian Structural Equation Model Approach," Sustainability, MDPI, vol. 15(3), pages 1-11, January.
    10. Xubei Luo & Nong Zhu, 2022. "Migration, Agglomeration and Attractiveness of Cities in China," Working Papers hal-03606056, HAL.
    11. Chen, Fanglin & Hao, Xinyue & Chen, Zhongfei, 2021. "Can high-speed rail improve health and alleviate health inequality? Evidence from China," Transport Policy, Elsevier, vol. 114(C), pages 266-279.
    12. Mengkai Chen & Yidong Wu & Guiwen Liu & Xianzhu Wang, 2020. "City economic development, housing availability, and migrants' settlement intentions: Evidence from China," Growth and Change, Wiley Blackwell, vol. 51(3), pages 1239-1258, September.
    13. Stephen Gibbons & Wenjie Wu, 2017. "Airports, Market Access and Local Economic Performance: Evidence from China," SERC Discussion Papers 0211, Centre for Economic Performance, LSE.
    14. Nicholas Sheard, 2015. "Airport Improvements and Urban Growth," AMSE Working Papers 1509, Aix-Marseille School of Economics, France.
    15. Chen, Wanxu & Chi, Guangqing & Li, Jiangfeng, 2020. "The spatial aspect of ecosystem services balance and its determinants," Land Use Policy, Elsevier, vol. 90(C).
    16. Stephen Gibbons & Wenjie Wu, 2020. "Airports, access and local economic performance: evidence from China [Are Chinese cities too small?]," Journal of Economic Geography, Oxford University Press, vol. 20(4), pages 903-937.
    17. Shaoyao Zhang & Wei Deng & Li Peng & Peng Zhou & Ying Liu, 2020. "Has Rural Migration Weakened Agricultural Cultivation? Evidence from the Mountains of Southwest China," Agriculture, MDPI, vol. 10(3), pages 1-19, March.
    18. Fangting Chi & Haoying Han, 2023. "The Impact of High-Speed Rail on Economic Development: A County-Level Analysis," Land, MDPI, vol. 12(4), pages 1-22, April.
    19. Ning Xu & Wanxu Chen & Sipei Pan & Jiale Liang & Jiaojiao Bian, 2022. "Evolution Characteristics and Formation Mechanism of Production-Living-Ecological Space in China: Perspective of Main Function Zones," IJERPH, MDPI, vol. 19(16), pages 1-19, August.
    20. Fengjian Ge & Jiangfeng Li & Yi Zhang & Shipeng Ye & Peng Han, 2022. "Impacts of Energy Structure on Carbon Emissions in China, 1997–2019," IJERPH, MDPI, vol. 19(10), pages 1-25, May.

    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:jijerp:v:18:y:2021:i:7:p:3828-:d:530961. 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.