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Analysing the relationship between POI density and stimulus complexity in the urban environment

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  • Dimitra Dritsa
  • Nimish Biloria

Abstract

The complexity of an environment is an important factor related to the quality of urban life, as it affects perception. Existing methods for estimating complexity from images or field visits are helpful but difficult to apply when the area of interest is large. This study identifies alternative ways of estimating the complexity of an environment, by analysing the density of Points of Interest (POI) of an area and using it as an indicator of mixed land use. Two case studies are explored, and spatial regression models are employed to test the association between POI density and complexity, and its predictors.

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  • Dimitra Dritsa & Nimish Biloria, 2021. "Analysing the relationship between POI density and stimulus complexity in the urban environment," Journal of Urban Design, Taylor & Francis Journals, vol. 26(5), pages 613-629, September.
    • Handle: RePEc:taf:cjudxx:v:26:y:2021:i:5:p:613-629
    DOI: 10.1080/13574809.2021.1903306
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    Cited by:

    1. Xia, Fangzhou & Lu, Pingzhen, 2023. "Can mixed land use promote social integration? Multiple mediator analysis based on spatiotemporal big data in Beijing," Land Use Policy, Elsevier, vol. 132(C).

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