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PDF 20.134kB - TOBIAS-lib - Universität Tübingen

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PDF 20.134kB - TOBIAS-lib - Universität Tübingen

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Stefan Fina Patterns of Urban Sprawl Geographical Analysis<br />

Geographical Analysis XX (20YY) pp-pp © The Ohio State University<br />

PATTERNS OF URBAN SPRAWL: MEASURING DISPERSION<br />

Stefan Fina 1<br />

Correspondence: Stefan Fina, Institute of Regional Development Planning, University of Stuttgart,<br />

Pfaffenwaldring 7, 70569 Stuttgart, Germany<br />

Email: stefan.fina@ireus.uni-stuttgart.de<br />

This research note investigates the way urban land use patterns and development trends of urban<br />

growth can be analysed. The focus is on the quantification of land use patterns that are typical for<br />

urban sprawl, and which are said to impact negatively on the resource efficiency of urban systems.<br />

Existing measurement concepts are found to be unsuitable to capture the possible variations of urban<br />

sprawl and their physical manifestation in terms of land use patterns. The paper introduces concepts<br />

for two new indicators that aim to overcome this limitation. The first indicator (Dispersion Index)<br />

compares the actual configuration of urban entities with a hypothetical maximum of urban sprawl in<br />

the developable part of an area. The second indicator (Functional Triangle) looks at the average<br />

nearest combinations of interacting land use functions (residential, business, public services) based on<br />

network distance. It serves as a quantification method for the neighbourhood mix of land use functions<br />

which is believed to prevent city environments from the worst impacts of urban sprawl. Both measures<br />

are described for simulated cases and initial tests for an area in Germany. The final sections discuss<br />

the results and conclude with an assessment of indicator performance.<br />

Initial submission: June 1, 2012.<br />

Revision: December 27, 2012<br />

1 Institute of Regional Development Planning, University of Stuttgart, Pfaffenwaldring 7, 70569<br />

Stuttgart, Germany

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