Content

Environmental Justice Berlin 2013

Maps

09.01.1 Noise Load 2012

Link to: 09.01.1 Noise Load 2012
Image: Umweltatlas Berlin

A monetary value was attached to the noise impact associated with the socio-demographic structure in order to determine the different degrees of burden of core indicator 1 of Berlin’s approach to environmental justice. The distribution indicates that the noise burden increases moving in from the periphery towards the city centre. More information

09.01.2 Air Pollution 2009

Link to: 09.01.2 Air Pollution 2009
Image: Umweltatlas Berlin

The varying degrees of burden associated with core indicator 2 of Berlin’s approach to environmental justice were classified relative to the existing air pollution in Berlin. 109 PLAs (24 %) were exposed to high, 58 % to medium and 18 % to low air pollution by PM2.5 and NO2. More information

09.01.3 Availability of Green Spaces 2012

Link to: 09.01.3 Availability of Green Spaces 2012
Image: Umweltatlas Berlin

Based on the ‘Analysis for the availability of green space’, a three-stage classification (“bad/very bad”, “medium” and “good/ very good”) was used to determine the degree of availability in relation to the catchment areas. This is how the different degrees of burden of core indicator 3 were determined. More information

09.01.4 Bio-Climate/ Thermal Load 2011

Link to: 09.01.4 Bio-Climate/ Thermal Load 2011
Image: Umweltatlas Berlin

The block-level distribution of the evaluation index PET (Physiologically Equivalent Temperature) was aggregated to the level of planning areas and evaluated in three steps in relation to the bioclimatic burden. This is how the different degrees of burden of core indicator 4 were determined. More information

09.01.5 Social Problems/ Status-Index 2013

Link to: 09.01.5 Social Problems/ Status-Index 2013
Image: Umweltatlas Berlin

The distribution of social differences was categorised into three levels for each planning area. This is how the multiple burdens of the different degrees of burden of core indicator 5 of the Berlin approach to environmental justice were determined. The Social Urban Development Monitoring Berlin (MSS) provided the small-scale information required. More information

09.01.6 Integrated Environmental Load 2013

Link to: 09.01.6 Integrated Environmental Load 2013
Image: Umweltatlas Berlin

Multiple burdens, assessed by the four environmental core indicators air pollution, noise burden, thermal burden and availability of green space, are highly concentrated in the inner city of Berlin. In contrast, the outer boroughs appear to be less problematic. More information

09.01.7 Integrated Environmental Load including Social Problems 2013

Link to: 09.01.7 Integrated Environmental Load including Social Problems 2013
Image: Umweltatlas Berlin

The fifth core indicator ‘social problems’ added to the four environmental core indicators air pollution, noise burden, thermal burden and availability of green space illustrates the close link between the environmental and the social status. For example, areas with multiple environmental burdens exhibit a considerably higher proportion of low and very low index values. More information

09.01.8 Integrated Environmental Load - thematic 2013

Link to: 09.01.8 Integrated Environmental Load - thematic 2013
Image: Umweltatlas Berlin

Superimposing the indicator ‘social problems’ on the four environmental core indicators air pollution, noise burden, thermal burden and availability of green space also reveals planning areas in which a single indicator has a particularly negative impact. Any need for immediate action can thus be identified. More information

09.01.9 Integrated Environmental Load - Berlin Environmental Justice Map 2013

Link to: 09.01.9 Integrated Environmental Load - Berlin Environmental Justice Map 2013
Image: Umweltatlas Berlin

Adding a vulnerability analysis (population density, quality of residential area) to the overall evaluation of all core indicators identifies those focal points at planning-area level that are particularly affected by burdens in combination with the population distribution. More information