IDEAS home Printed from https://ideas.repec.org/h/spr/lnopch/978-981-99-3626-7_68.html
   My bibliography  Save this book chapter

The Analysis of Urban Expansion Based on Space Syntax: A Case Study of the Main Urban Area of Hangzhou, China

In: Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Yukuan Huang

    (Zhejiang University)

  • Sheng Zheng

    (Zhejiang University)

Abstract

As China’s urbanization enters a rapid development stage, the expansion of cities has generated several problems. The road network influences urban form significantly and can contribute to sustainable urbanization. Currently, studies on urban expansion rarely use road networks. This study aims to analyze the spatial aggregation and intensity of urban expansion using road network data by space syntax. The results of spatial autocorrelation analysis show a moderate degree of positive spatial autocorrelation in the main urban of Hangzhou. The high–high agglomeration regions grew gradually and were primarily concentrated in the center, whereas the low–low agglomeration regions were scattered around the boundary. According to the Space Syntax Expand Intensity Index (SS-EII), the main direction of urban expansion was the northeast and north, while the southeast and east expanded at a slower rate. Moreover, the overall intensity of urban expansion was highest in 2018. Finally, the reasons associated with urban expansion are explored, including demographic, economic, policy, and geographical factors.

Suggested Citation

  • Yukuan Huang & Sheng Zheng, 2023. "The Analysis of Urban Expansion Based on Space Syntax: A Case Study of the Main Urban Area of Hangzhou, China," Lecture Notes in Operations Research, in: Jing Li & Weisheng Lu & Yi Peng & Hongping Yuan & Daikun Wang (ed.), Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate, pages 885-897, Springer.
    • Handle: RePEc:spr:lnopch:978-981-99-3626-7_68
    DOI: 10.1007/978-981-99-3626-7_68
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:lnopch:978-981-99-3626-7_68. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.