Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Land Use Significantly Affects the Distribution of Urban Green Space: Case Study of Shanghai, China
AbstractUrban green space distribution has been extensively investigated; however, few studies have examined how these distributions are linked to anthropogenic activities at very fine scales. Here, the authors investigated the spatial variations of green space among different land-use categories within the city of Shanghai at the city, inner-outer ring road, and district scales. Land-use patches were delineated from aerial photos, and green coverage was derived from advanced land observation satellite (ALOS) imagery. Green space composition and configuration were then calculated for each land-use polygon. New residential, old residential, villa residential, industrial, and institutional were the five dominant land-use types. At the city level, green space coverage and configuration varied significantly among different land-use types. Villa residential had the highest green space coverage (67.63%), followed by institutional (38.81%), new residential (27.64%), industrial (27.54%), and old residential (16.79%). At the inner-outer ring and district levels, green space variation was consistent with the spatially changed anthropogenic activities. This study highlights the importance of considering anthropogenic impacts on green space planning and management.
Land Use Significantly Affects the Distribution of Urban Green Space: Case Study of Shanghai, China
AbstractUrban green space distribution has been extensively investigated; however, few studies have examined how these distributions are linked to anthropogenic activities at very fine scales. Here, the authors investigated the spatial variations of green space among different land-use categories within the city of Shanghai at the city, inner-outer ring road, and district scales. Land-use patches were delineated from aerial photos, and green coverage was derived from advanced land observation satellite (ALOS) imagery. Green space composition and configuration were then calculated for each land-use polygon. New residential, old residential, villa residential, industrial, and institutional were the five dominant land-use types. At the city level, green space coverage and configuration varied significantly among different land-use types. Villa residential had the highest green space coverage (67.63%), followed by institutional (38.81%), new residential (27.64%), industrial (27.54%), and old residential (16.79%). At the inner-outer ring and district levels, green space variation was consistent with the spatially changed anthropogenic activities. This study highlights the importance of considering anthropogenic impacts on green space planning and management.
Land Use Significantly Affects the Distribution of Urban Green Space: Case Study of Shanghai, China
Li, Weifeng (Autor:in) / Han, Chunmeng / Han, Lijian / Bai, Yang / Zhou, Weiqi
2015
Aufsatz (Zeitschrift)
Englisch
Land Use Significantly Affects the Distribution of Urban Green Space: Case Study of Shanghai, China
| British Library Online Contents | 2015
Ecological compensation mechanism for urban green land and its application in Shanghai, China
| Springer Verlag | 2007
Accessibility of public urban green space in an urban periphery: The case of Shanghai
| Online Contents | 2016
| DOAJ | 2021