A QUANTITATIVE PROCEDURE FOR THE SPATIAL CHARACTERIZATION OF URBAN LAND USE
James Decraene,
Christopher Monterola (),
Gary Kee Khoon Lee and
Terence Gih Guang Hung
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James Decraene: Complex Systems Programme, Institute of High Performance Computing, Computing Science, Agency for Science Technology and Research, 1 Fusionopolis way, 16-16 Connexis, Singapore 138632, Singapore
Christopher Monterola: Complex Systems Programme, Institute of High Performance Computing, Computing Science, Agency for Science Technology and Research, 1 Fusionopolis way, 16-16 Connexis, Singapore 138632, Singapore
Gary Kee Khoon Lee: Complex Systems Programme, Institute of High Performance Computing, Computing Science, Agency for Science Technology and Research, 1 Fusionopolis way, 16-16 Connexis, Singapore 138632, Singapore
Terence Gih Guang Hung: Complex Systems Programme, Institute of High Performance Computing, Computing Science, Agency for Science Technology and Research, 1 Fusionopolis way, 16-16 Connexis, Singapore 138632, Singapore
International Journal of Modern Physics C (IJMPC), 2013, vol. 24, issue 01, 1-15
Abstract:
We have developed a procedure that characterizes the land use pattern of an urban system using: (a)Spatial entropythat measures the extent of spread of residential, business and industrial sectors; and (b)Index of dissimilaritythat quantifies the degree of mixing in space of different sectors. The approach is illustrated by using the land use zoning maps of the city state of Singapore and a selection of North American cities. We show that a common feature of most cities is for the industrial areas to be highly clustered while at the same time segregated from the residential or business districts. We also demonstrate that the combination of entropy of residential and dissimilarity index between residential and business areas provides a quantitative and potentially useful means of differentiating the land use pattern of different cities.
Keywords: Spatial entropy; dissimilarity index; land use; urban planning and development; 89.65.Lm; 89.70.Cf; 89.75.Kd (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (5)
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DOI: 10.1142/S0129183112500921
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