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The Land-Use Diversity in Urban Villages in Shenzhen

Authors: Pu Hao; Stan Geertman; Pieter Hooimeijer; Richard Sliuzas;

The Land-Use Diversity in Urban Villages in Shenzhen

Abstract

China's dynamic urbanisation since 1978 has led to the proliferation of so-called ‘urban villages’ in many cities. Their development, via a self-help approach by indigenous villagers, delivers low-cost housing and various other social and economic activities. Consequently, urban villages are characterised by growing numbers of buildings and a mix of functions, including residential, industrial, commercial, and public services. These uses enable different activities in urban villages, assimilating migrants into the city by providing an alternative niche for working and living. Variations in land-use diversity in Shenzhen's 318 urban villages were analysed using 2009 data, for more than 333 000 buildings. Four statistical models, including three based on a spatial regimes analysis, are used to explain their land-use diversity. The results reveal that an urban village's land-use pattern is linked to its location in the urban fabric, its phase of development, and the development level of its environs. Different patterns are apparent inside and outside the Special Economic Zone of Shenzhen, suggesting that the current uniform redevelopment policy for urban villages may not be appropriate.

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Netherlands
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Keywords

land-use diversity, METIS-306581, Shenzhen, SDG 10 - Reduced Inequalities, Urban village, Land-use diversity, SDG 11 - Sustainable Cities and Communities, urban village, METIS-306626, METIS-306628, multifunctionality, chengzhongcun, Chengzhongcun, Multifunctionality, Sociale Geografie & Planologie, SDG 15 - Life on Land

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
76
Top 1%
Top 10%
Top 10%
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