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Journal of Land Use Science 95<br />

5.3. Germany’s urban sprawl landscape<br />

The final product of our work is the urban sprawl map presented in Figure 7, using the<br />

clusters described above. The map shows that compact metropolitan structures (black) are<br />

concentrated around the core urban areas of the large cities and the urban compound of<br />

the Rhine-Ruhr area. Suburban sprawl (grey) reaches outwards from the metropolitan<br />

structures, with differing extents. The Stuttgart, Rhine-Main and Rhein-Ruhr areas, as<br />

well as the southern parts of Saxony have the largest suburban sprawl expansions, followed<br />

by the immediate surrounds of the major cities (Munich, Nuremberg, Berlin, Hanover,<br />

Bremen, Hamburg). Suburban sprawl also appears without metropolitan areas in the centre,<br />

for example, in and around medium-sized cities. Exurban sprawl is then shown in a small dot<br />

texture. It can be found in vast areas of the western German states, in Thuringia and Saxony<br />

indicating the characteristic expansion of urbanisation into rural areas. Exurban sprawl is<br />

usually present in all regions that are not part of conservation areas or very remote from<br />

urban agglomerations. Finally, shrinkage sprawl (large dotted texture) dominates in large<br />

parts of peripheral Brandenburg, Mecklenburg-Vorpommern, and Saxony-Anhalt, in small<br />

occurrences also in some parts of Saxony, Bavaria and Lower Saxony.<br />

6. Towards a political implementation of sprawl monitoring in Germany<br />

In the recent past, the German federal and state governments have further improved their spatial<br />

and environmental monitoring capacities. This includes both, the development of new GIS<br />

based data sources on land use integrated digital data on cadastral and topographic information<br />

and environmental resources as well as the establishment of enhanced indicator systems. In<br />

2004, the Conference of the State Environment Ministers (‘Umweltministerkonferenz’) passed<br />

a sustainability indicator concept (‘LIKI-Indikatoren’) that covers a broad range of sustainability<br />

related issues including land consumption for urban purposes and landscape fragmentation<br />

(Umweltministerkonferenz 2004). However, there is still a lack of sophisticated<br />

measures by which a thorough indication of affected areas and an assessment of sprawl’s<br />

impacts could be undertaken. As mentioned above, simple indicators like the daily conversion<br />

of non-urban to urban land uses still dominate the political and public view on land use change.<br />

Against this background, our work could help to foster the scope and spatial<br />

refinement of monitoring, reporting and evaluation approaches on federal, state and<br />

regional levels. An improved urban land use monitoring supports the identification of<br />

problem areas, the derivation of sprawl-type specific strategies, policy targets and<br />

measures as well as the evaluation of anti-sprawl measures implemented in state,<br />

regional and local policies.<br />

As shown in Section 3 of this article, our measurement concept addresses different<br />

types of urban sprawl in Germany and their spatial coverage (see Figure 7). We<br />

differentiate compact urban structures that can be found in the metropolitan core areas,<br />

suburban and exurban types of sprawl. For each of these types a specific profile of<br />

environmental and economic problems can be expected. Taking this into account, typespecific<br />

anti-sprawl strategies and instruments should be implemented. Therefore, an<br />

effective sprawl monitoring can overcome the ‘spatial fuzziness’ of current land use<br />

policies.<br />

Furthermore, our work is relevant for the evaluation of federal, state and local land use<br />

policies. We offer methodological ways to measure progress towards a more environmentally<br />

friendly and economically efficient urban development. As an example, the relatively<br />

low average values for indicator 7 (openness index) exhibit serious shortcomings of regional

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