TY - JOUR
T1 - The impact of different urban dynamics on green space availability
T2 - A multiple scenario modeling approach for the region of Munich, Germany
AU - Xu, Chao
AU - Haase, Dagmar
AU - Pauleit, Stephan
N1 - Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/10
Y1 - 2018/10
N2 - 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.
AB - 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.
KW - Green space availability
KW - Housing demand
KW - Scenario modeling
KW - Urban dynamics
KW - Urban growth form
KW - Urban spatial structure
UR - http://www.scopus.com/inward/record.url?scp=85046343432&partnerID=8YFLogxK
U2 - 10.1016/j.ecolind.2018.04.058
DO - 10.1016/j.ecolind.2018.04.058
M3 - Article
AN - SCOPUS:85046343432
SN - 1470-160X
VL - 93
SP - 1
EP - 12
JO - Ecological Indicators
JF - Ecological Indicators
ER -