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PDF 20.134kB - TOBIAS-lib - Universität Tübingen

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Exploring the patterns of urban growth across 26 European countries 2767<br />

the explicit national and regional in uence on urban land-use change and its physical shape<br />

is rare. The few studies that do exist provide further evidence for the remarkable differences<br />

in urbanisation patterns that can be observed, but also for common aspects like the ongoing<br />

conversion of nonurban land to urban land uses and the decrease of urban densities (Angel<br />

2011; Huang et al, 2007; Kasanko et al, 2006; Schneider and Woodcock 2008; Schwarz<br />

2010).<br />

We argue that the lack of international comparative studies on the intensity and spatial<br />

coverage of urban sprawl constrains the understanding of the economic, social, and political<br />

drivers of sprawl. While demographic and economic trends are usually well documented, few<br />

studies focus on the per capita amount of urbanised land, the rates of growth, and the spatial<br />

patterns of urban expansion in different world regions and countries (EEA, 2006a; Schneider<br />

and Woodcock, 2008). We simply do not know exactly how industrialised countries and their<br />

metropolitan areas compare internationally in terms of sprawl patterns.<br />

With this background, this paper aims to improve the understanding of urban landuse<br />

change by comparing urban development patterns in European countries. We present<br />

results of a comparative measurement and assessment of urban form and urban growth<br />

across twenty-six nations, most of them EU member states. For this purpose, we employ<br />

a set of commonly used and well-documented indicators. The selected measures refer to<br />

(a) the spatial extent of urban land uses and the rates of land conversion to urban uses; (b)<br />

the compactness of urban areas and the spatial dispersion of new development; and (c)<br />

urban density. By using land-use data for different points in time, the analysis is both crosssectional<br />

and longitudinal. The main part (section 3) of this paper presents the empirical<br />

ndings for eight static and dynamic indicators for the years 1990, 2000, and 2006. In order<br />

to avoid scaling issues and allow for comparability of indicators based on different data<br />

sources, a polygon layer containing 20 × 20 km squares was used for the nal visualisation<br />

of indicator results. All outputs were aggregated to this grid and to the national level.<br />

The paper is organised in four sections. In section 2 the methodological approach is<br />

introduced. This includes a brief introduction into the conceptual approach regarding the<br />

measurement of urban sprawl and the data sources used. The methods that were used to map<br />

urban form patterns are also covered in section 2. Section 3 provides a detailed overview of<br />

the empirical results, which are discussed in more detail in section 4.<br />

2 Methodological approach<br />

This study presents data on urban land use (also referred to as arti cial or built-up land)<br />

and its change over time in the form of cross-national statistics and maps. Indicators were<br />

calculated for the years 1990, 2000, and 2006, for twenty- ve of the current European Union<br />

member states, plus Croatia, a candidate country at the time of the data release. The most<br />

regrettable data gaps were the CORINE updates for the UK and Greece for 2006, and the<br />

CORINE data for Latvia, Finland, and Sweden for 1990.<br />

2.1 Indicators for measuring urban form<br />

Our choice of indicators is based on a conceptual framework distinguishing three key<br />

dimensions of urban sprawl [see table 1 and Siedentop and Fina (2010) for details]:<br />

land-use composition as the proportion of urban land uses with mostly arti cial surfaces<br />

(composition dimension),<br />

land-use pattern as the spatial con guration of urban land-use patches (pattern dimension),<br />

and<br />

urban density as a measure of land-use intensity (density dimension).

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