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

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.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This study received financial support in the form of a postgraduate scholarship from the University of Technology Sydney.