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Polycentric Urban Spatial Structure Identification Based on Morphological and Functional Dimensions: Evidence from Three Chinese Cities

Author

Listed:
  • Juan Zhu

    (College of Art and Design, Suzhou Chien-Shiung Institute of Technology, Suzhou 215411, China)

  • Xinyi Niu

    (College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China)

  • Yao Wang

    (College of Architecture and Urban Planning, Suzhou University of Science and Technology, Suzhou 215011, China)

Abstract

Regarding whether a polycentric urban spatial structure is a sustainable urban development model, various studies use different employment center identification methods, resulting in inconsistent conclusions. This paper takes Hangzhou, Wuhan, and Nanning, three Chinese cities at different stages of development as cases, and adopts various methods to identify employment centers to compares the polycentric spatial structure differences from morphological and functional dimensions, and puts forward a multi-dimensional perspective for analyzing the characteristics of the polycentric spatial structure. The results show that the polycentric model of GL_SC threshold method has the relatively good explanatory power, which can best represent the characteristics of urban development in China. The explanatory power of the polycentric model of the Wuhan commuter flow method (adjusted R-squared value is 0.37) is slightly weaker than that of the GL_SC threshold method (adjusted R-squared value is 0.40), indicating that the agglomeration development forces are equivalent to the decentralized development forces and it is a balanced polycentric development structure. In Hangzhou and Nanning, the GL_SC threshold method (adjusted R-squared values are 0.28 and 0.36, respectively) is stronger than the commuter flow method (adjusted R-squared values are 0.19 and 0.33, respectively), which reflects the strong characteristics of agglomeration polycentric development. However, from the comparison of the number and distribution of employment center identification, the polycentric development characteristics of Hangzhou are stronger than those of Nanning. The comparison of the identification results of the morphological and functional dimensions shows that the two dimensions as a unified evaluation process can more fully reflect the characteristics of an urban polycentric development structure, thereby providing preliminary research support for the study of the impact of polycentric structure on economic development, air pollution, work and residential commuting, etc.

Suggested Citation

  • Juan Zhu & Xinyi Niu & Yao Wang, 2024. "Polycentric Urban Spatial Structure Identification Based on Morphological and Functional Dimensions: Evidence from Three Chinese Cities," Sustainability, MDPI, vol. 16(6), pages 1-22, March.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:6:p:2584-:d:1361256
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    References listed on IDEAS

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    1. Alex Anas & Richard Arnott & Kenneth A. Small, 1998. "Urban Spatial Structure," Journal of Economic Literature, American Economic Association, vol. 36(3), pages 1426-1464, September.
    2. Daniel P. McMillen, 2004. "Employment Densities, Spatial Autocorrelation, and Subcenters in Large Metropolitan Areas," Journal of Regional Science, Wiley Blackwell, vol. 44(2), pages 225-244, May.
    3. Mehdi Alidadi & Hashem Dadashpoor, 2018. "Beyond monocentricity: examining the spatial distribution of employment in Tehran metropolitan region, Iran," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 22(1), pages 38-58, January.
    4. Giuliano, Genevieve & Small, Kenneth A., 1991. "Subcenters in the Los Angeles region," Regional Science and Urban Economics, Elsevier, vol. 21(2), pages 163-182, July.
    5. Martijn Burger & Evert Meijers, 2012. "Form Follows Function? Linking Morphological and Functional Polycentricity," Urban Studies, Urban Studies Journal Limited, vol. 49(5), pages 1127-1149, April.
    6. Small Kenneth A. & Song Shunfeng, 1994. "Population and Employment Densities: Structure and Change," Journal of Urban Economics, Elsevier, vol. 36(3), pages 292-313, November.
    7. Ying Long & Yimeng Song & Long Chen, 2022. "Identifying subcenters with a nonparametric method and ubiquitous point-of-interest data: A case study of 284 Chinese cities," Environment and Planning B, , vol. 49(1), pages 58-75, January.
    8. François Riguelle & Isabelle Thomas & Ann Verhetsel, 2007. "Measuring urban polycentrism: a European case study and its implications," Journal of Economic Geography, Oxford University Press, vol. 7(2), pages 193-215, March.
    9. Cats, Oded & Wang, Qian & Zhao, Yu, 2015. "Identification and classification of public transport activity centres in Stockholm using passenger flows data," Journal of Transport Geography, Elsevier, vol. 48(C), pages 10-22.
    10. Anas, Alex & Kim, Ikki, 1996. "General Equilibrium Models of Polycentric Urban Land Use with Endogenous Congestion and Job Agglomeration," Journal of Urban Economics, Elsevier, vol. 40(2), pages 232-256, September.
    11. Fujita, Masahisa & Ogawa, Hideaki, 1982. "Multiple equilibria and structural transition of non-monocentric urban configurations," Regional Science and Urban Economics, Elsevier, vol. 12(2), pages 161-196, May.
    12. McMillen, Daniel P., 2001. "Nonparametric Employment Subcenter Identification," Journal of Urban Economics, Elsevier, vol. 50(3), pages 448-473, November.
    13. McDonald, John F., 1987. "The identification of urban employment subcenters," Journal of Urban Economics, Elsevier, vol. 21(2), pages 242-258, March.
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