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Polycentric Urban Development and Spatial Clustering of Condominium Property Values: Singapore in the 1990s

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  • Sun Sheng Han

    (Department of Real Estate, National University of Singapore, 4 Architecture Drive, Singapore 117566)

Abstract

Spatial decentralization is a common measure used by public planners to redistribute urban social and economic activities in order to resolve escalating problems such as crowdedness, pollution, and high cost of living in the central cities. Findings from studies assessing the changing rent gradient of cities, and probability of development around suburban centers, provide insights to the various impacts of spatial decentralization policies. The author makes use of global and local spatial auto-correlation statistics and seeks to explore the spatial clustering of property values in the context of polycentric urban development. Data were collected from the property sales transaction database in Singapore and analyzed employing geographic information systems and spatial statistics. Empirical results suggest that there was a remarkable redistribution among the planning regions as regards the number of condominium projects in the 1990s, which was in line with the polycentric urban development policy. A decline in the global Moran's I indicates a change from a strong to a relatively weak positive clustering. However, the local Moran statistics show that a spatial pattern of property-value clusters continued during the study period. Findings of this research capture a market signal indicating that the spatial distribution of property values may not readily follow planning guidelines, at least in a given short time frame.

Suggested Citation

  • Sun Sheng Han, 2005. "Polycentric Urban Development and Spatial Clustering of Condominium Property Values: Singapore in the 1990s," Environment and Planning A, , vol. 37(3), pages 463-481, March.
  • Handle: RePEc:sae:envira:v:37:y:2005:i:3:p:463-481
    DOI: 10.1068/a3746
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    References listed on IDEAS

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    Cited by:

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    3. Han, Sun Sheng, 2020. "The spatial spread of dockless bike-sharing programs among Chinese cities," Journal of Transport Geography, Elsevier, vol. 86(C).
    4. Marco Helbich, 2015. "Do Suburban Areas Impact House Prices?," Environment and Planning B, , vol. 42(3), pages 431-449, June.
    5. Luca Salvati & Giuseppe Venanzoni & Pere Serra & Margherita Carlucci, 2016. "Scattered or polycentric? Untangling urban growth in three southern European metropolitan regions through exploratory spatial data analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 57(1), pages 1-29, July.
    6. Murakami, Jin, 2018. "The Government Land Sales programme and developers’ willingness to pay for accessibility in Singapore, 1990–2015," Land Use Policy, Elsevier, vol. 75(C), pages 292-302.
    7. Bumsoo Lee & Peter Gordon, 2010. "Urban Structure: It's Role in Urban Growth, Net New Business Formation and Industrial Churn," Working Paper 8515, USC Lusk Center for Real Estate.
    8. Zhang, Xiaohu & Xu, Yang & Tu, Wei & Ratti, Carlo, 2018. "Do different datasets tell the same story about urban mobility — A comparative study of public transit and taxi usage," Journal of Transport Geography, Elsevier, vol. 70(C), pages 78-90.
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    10. Idan Porat & Amnon Frenkel & Maxim Shoshany, 2008. "Residential and Nonresidential Construction Initiations in Tel Aviv-Yafo: Autocorrelation Analysis of Urban Structure Evolution," Environment and Planning B, , vol. 35(3), pages 535-551, June.
    11. N. Edward Coulson & Zhi Dong & Tien Foo Sing, 2021. "Estimating Supply Functions for Residential Real Estate Attributes," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(2), pages 397-432, June.

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