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Spatial and Temporal Dynamics of Urban Expansion along the Guangzhou–Foshan Inter-City Rail Transit Corridor, China

Author

Listed:
  • Shaoying Li

    (School of Geographical Sciences, Guangzhou University, Guangzhou 510006, China)

  • Xiaoping Liu

    (School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
    Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou 510275, China)

  • Zhigang Li

    (School of Urban Design, Wuhan University, Wuhan 430072, China)

  • Zhifeng Wu

    (School of Geographical Sciences, Guangzhou University, Guangzhou 510006, China)

  • Zijun Yan

    (Guangzhou surveying and mapping institute for real estate, Guangzhou 510030, China)

  • Yimin Chen

    (Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou 510275, China
    School of Geographic Sciences, and Key Lab of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China)

  • Feng Gao

    (School of Geographical Sciences, Guangzhou University, Guangzhou 510006, China)

Abstract

Understanding the urban expansion process along inter-city rail transit corridors is critical to regional integration of city groups. Though numerous studies have considered the influences of rail transit on land use and urban form, most have focused on local station areas or intra-city urban structures. Few studies have examined the effects and dynamic process along inter-city rail transit corridors at a regional scale. In this study, multi-remote sensing images, landscape metrics and gradient analysis were combined to investigate the spatial and temporal dynamics of urban expansion and regional structural changes along the GuangFo inter-city Metro in the Pearl River Delta, south China. We introduced Thiessen Polygon into quadrat zoning for landscape gradient analysis, and clearly revealed the spatial variations of landscape changes along the metro transect. The regional expansion stage and inter-city structural changes were further detected based on the theoretical framework of diffusion-coalescence growth. This study revealed that during its construction the GuangFo Metro significantly impacted urban expansion at the urban fringes. Before construction the urban patches became irregular and fragmented as the gradient moved from city centers to city fringes. Influenced by the GuangFo Metro, the urban patches expanded and consequently coalesced into a homogenous urbanized area, which indicated that coalescence was the dominant expansion stage and the regional structure become more aggregated. This suggested that the inter-city rail transit has played an important role in promoting the integration of the GuangFo metropolitan region.

Suggested Citation

  • Shaoying Li & Xiaoping Liu & Zhigang Li & Zhifeng Wu & Zijun Yan & Yimin Chen & Feng Gao, 2018. "Spatial and Temporal Dynamics of Urban Expansion along the Guangzhou–Foshan Inter-City Rail Transit Corridor, China," Sustainability, MDPI, vol. 10(3), pages 1-18, February.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:3:p:593-:d:133452
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    References listed on IDEAS

    as
    1. Liudan Jiao & Liyin Shen & Chenyang Shuai & Yongtao Tan & Bei He, 2017. "Measuring Crowdedness between Adjacent Stations in an Urban Metro System: a Chinese Case Study," Sustainability, MDPI, vol. 9(12), pages 1-14, December.
    2. Cao, Xinyu (Jason) & Schoner, Jessica, 2014. "The influence of light rail transit on transit use: An exploration of station area residents along the Hiawatha line in Minneapolis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 134-143.
    3. Hurst, Needham B. & West, Sarah E., 2014. "Public transit and urban redevelopment: The effect of light rail transit on land use in Minneapolis, Minnesota," Regional Science and Urban Economics, Elsevier, vol. 46(C), pages 57-72.
    4. Chen, Chia-Lin, 2012. "Reshaping Chinese space-economy through high-speed trains: opportunities and challenges," Journal of Transport Geography, Elsevier, vol. 22(C), pages 312-316.
    5. Knowles, Richard D., 2012. "Transit Oriented Development in Copenhagen, Denmark: from the Finger Plan to Ørestad," Journal of Transport Geography, Elsevier, vol. 22(C), pages 251-261.
    6. Andersson, David Emanuel & Shyr, Oliver F. & Fu, Johnson, 2010. "Does high-speed rail accessibility influence residential property prices? Hedonic estimates from southern Taiwan," Journal of Transport Geography, Elsevier, vol. 18(1), pages 166-174.
    7. Mu, Rui & Jong, Martin de, 2012. "Establishing the conditions for effective transit-oriented development in China: the case of Dalian," Journal of Transport Geography, Elsevier, vol. 24(C), pages 234-249.
    8. Tian, Guangjin & Jiang, Jing & Yang, Zhifeng & Zhang, Yaoqi, 2011. "The urban growth, size distribution and spatio-temporal dynamic pattern of the Yangtze River Delta megalopolitan region, China," Ecological Modelling, Elsevier, vol. 222(3), pages 865-878.
    9. Xia Li & Guangzhao Chen & Xiaoping Liu & Xun Liang & Shaojian Wang & Yimin Chen & Fengsong Pei & Xiaocong Xu, 2017. "A New Global Land-Use and Land-Cover Change Product at a 1-km Resolution for 2010 to 2100 Based on Human–Environment Interactions," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 107(5), pages 1040-1059, September.
    10. Heng Li & Jun Peng & Weirong Liu & Zhiwu Huang, 2015. "Stationary Charging Station Design for Sustainable Urban Rail Systems: A Case Study at Zhuzhou Electric Locomotive Co., China," Sustainability, MDPI, vol. 7(1), pages 1-17, January.
    11. Chen, Shaopei & Claramunt, Christophe & Ray, Cyril, 2014. "A spatio-temporal modelling approach for the study of the connectivity and accessibility of the Guangzhou metropolitan network," Journal of Transport Geography, Elsevier, vol. 36(C), pages 12-23.
    12. Ghebreegziabiher Debrezion & Eric Pels & Piet Rietveld, 2011. "The Impact of Rail Transport on Real Estate Prices," Urban Studies, Urban Studies Journal Limited, vol. 48(5), pages 997-1015, April.
    13. Bowes, David R. & Ihlanfeldt, Keith R., 2001. "Identifying the Impacts of Rail Transit Stations on Residential Property Values," Journal of Urban Economics, Elsevier, vol. 50(1), pages 1-25, July.
    14. Yilun Liu & Yueming Hu & Shaoqiu Long & Luo Liu & Xiaoping Liu, 2017. "Analysis of the Effectiveness of Urban Land-Use-Change Models Based on the Measurement of Spatio-Temporal, Dynamic Urban Growth: A Cellular Automata Case Study," Sustainability, MDPI, vol. 9(5), pages 1-15, May.
    15. Shuwei Wang & Lishan Sun & Jian Rong & Zifan Yang, 2014. "Transit Traffic Analysis Zone Delineating Method Based on Thiessen Polygon," Sustainability, MDPI, vol. 6(4), pages 1-12, April.
    16. Pagliara, Francesca & Papa, Enrica, 2011. "Urban rail systems investments: an analysis of the impacts on property values and residents’ location," Journal of Transport Geography, Elsevier, vol. 19(2), pages 200-211.
    17. Xu Zhang & Xiaoxing Liu & Jianqin Hang & Dengbao Yao & Guangping Shi, 2016. "Do Urban Rail Transit Facilities Affect Housing Prices? Evidence from China," Sustainability, MDPI, vol. 8(4), pages 1-14, April.
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