The impact of different urban dynamics on green space availability: A multiple scenario modeling approach for the region of Munich, Germany. (October 2018)

• Record Type: Journal Article
• Authors: Xu, Chao; Haase, Dagmar; Pauleit, Stephan
• Is Part Of: Ecological indicators. Volume 93(2018)
• Page Start: 1
• Page End: 12
• Publication Date: 2018-10
• Subjects: PCGS per capita green space -- SPAGS the share of the population with access to green spaces; Urban dynamics -- Green space availability -- Scenario modeling -- Housing demand -- Urban spatial structure -- Urban growth form; Environmental monitoring -- Periodicals; Environmental management -- Periodicals; Environmental impact analysis -- Periodicals; Environmental risk assessment -- Periodicals; Sustainable development -- Periodicals; 333.71405
• DOI: 10.1016/j.ecolind.2018.04.058
• Languages: English
• ISSNs: 1470-160X

Abstract

Highlights: Impact of urban dynamics on GS availability is assessed at sub- and regional levels. Multi-scenarios are developed for housing demand, spatial structure and growth form. Higher housing demand scenarios put more pressure on GS availability at both levels. At regional level, polycentric scenarios are less limiting than monocentric ones. Growth forms should consider the tradeoffs between the GS availability indicators. Abstract: Green spaces can mitigate the negative impacts of urbanization and improve the overall quality of life of urban residents, but the availability of green spaces has been extensively influenced by urban dynamics. In this study, multiple scenarios were developed for one of the fastest and most dynamically growing urban regions in Germany, Munich, with respect to the following three dimensions: housing demand (high, medium or low), urban spatial structure (monocentric or polycentric) and urban growth form (sprawl, compact sprawl or compact). By using per capita green space (PCGS) and the share of the population with access to green spaces (SPAGS) as indicators, the availability of green spaces under different scenarios and the tradeoffs between the two indicators were analyzed at the levels of both regional and sub-regional zones. Our results show that, without effective greening policies, there were different degrees of decline in green space availability in most of the selected scenarios, although scenarios that showed urban shrinkage did result in new green space development. Higher housing demand places more pressure on green space availability at both levels, and the two green space indicators perform better in the polycentric urban spatial structure scenario than in the monocentric scenario. However, one must consider the tradeoffs between the two indicators to define the most advisable urban growth form. The results also highlighted that it is difficult to find a single growth form that performs best in all different zones. Thus, this novel and straightforward scenario approach allows both urban and regional planners to consider the different impacts of urban dynamic scenarios on green space availability and to propose planning strategies adapted to different sub-regional zones.