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The Complex Network Theory-Based Urban Land-Use and Transport Interaction Studies

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  • Rui Ding

Abstract

The research on complex networks offers novel insight into the analysis of complex urban systems. The objective of this article is to provide a review of complex network theory in urban land-use and transport studies to date. Some traditional integrated studies of urban land-use and traffic networks are summarized and analysed; related research gaps were proposed. Then, this paper reviewed the application of complex network theory in urban land-use and transport research and practice. It shows that the node importance identification method is critical for network protection or attack studies; the multiple centrality assessment and kernel density estimation approaches can be used to represent the intuitionistic connections of urban traffic networks and surrounding land-uses; it can be used to verify the changing trend and variation of landscape connectivity; also it can be applied to the identification of key changed land-use types in land-use cover change; the coevolution process can be treated as an integrated way to discuss the relationships between urban traffic network growth and land-use change, and the multilayer networks based analysis is a novel method to measure their interactions. This paper is essential in establishing apparent research interests and points out the further potential application of complex network theory in urban traffic network and land-use related studies.

Suggested Citation

  • Rui Ding, 2019. "The Complex Network Theory-Based Urban Land-Use and Transport Interaction Studies," Complexity, Hindawi, vol. 2019, pages 1-14, June.
  • Handle: RePEc:hin:complx:4180890
    DOI: 10.1155/2019/4180890
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    2. Ding, Rui & Zhou, Tao & Zhang, Yilin & Du, YiMing & Chen, Shihui & Fu, Jun & Du, Linyu & Zhang, Ting & Li, Tongfei, 2022. "The influence of average speed ratio on multilayer traffic network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 594(C).
    3. Yanyan Gu & Yandong Wang, 2022. "Using weighted multilayer networks to uncover scaling of public transport system," Environment and Planning B, , vol. 49(6), pages 1631-1645, July.
    4. Zhonggui Lu & Wei Li & Yidi Wang & Siyang Zhou, 2022. "Bibliometric Analysis of Global Research on Ecological Networks in Nature Conservation from 1990 to 2020," Sustainability, MDPI, vol. 14(9), pages 1-20, April.

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