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A GIS ‐based land‐use diversity index model to measure the degree of suburban sprawl
Author(s) -
Randall Todd A,
Baetz Brian W
Publication year - 2015
Publication title -
area
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 82
eISSN - 1475-4762
pISSN - 0004-0894
DOI - 10.1111/area.12182
Subject(s) - urban sprawl , neighbourhood (mathematics) , index (typography) , land use , diversity index , diversity (politics) , geography , sustainability , computer science , economic geography , transport engineering , regional science , mathematics , civil engineering , sociology , ecology , engineering , mathematical analysis , world wide web , species richness , anthropology , biology
This paper describes a GIS ‐based land‐use diversity measure for residential neighbourhoods – the land‐use diversity index (or LDI ) model – as a possible urban sustainability criterion. The term ‘land‐use diversity’ is proposed as representative of many physical attributes of neighbourhood form opposite to typical sprawl patterns. A diverse neighbourhood is one with a mixture of compatible land uses and housing types, containing an array of amenities in reasonable proximity to where people live. The prototype version of the LDI model incorporates 34 input variables, structured around four sub‐indices. Its range of expected values are explored through four case study applications. Theoretically, index values can vary between 0 and 1, where 1 represents a condition of greater ‘land‐use diversity’. The two traditional urban neighbourhoods fared well (index values ranging between 0.627 and 0.726) because they have a greater range of land uses and neighbourhood amenities, a better integration of housing types and are more concentrated. These two neighbourhoods meet many of the ‘exuberant diversity’ criteria described by Jacobs. The two suburban neighbourhoods scored lower index values (between 0.250 and 0.363), indicating variables different to those for traditional urban forms. The LDI model differs from existing sprawl measures fundamentally, as it attempts to measure sprawl at a finer resolution (i.e. at the neighbourhood scale). It is anticipated the LDI model will assist with planning new, and reconfiguring old, neighbourhoods as they strive to meet smart growth criteria now being considered by many cities.