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Assessing environmental justice through potential exposure to air pollution: A socio-spatial analysis in Madrid and Barcelona,Spain
Institution:1. Children''s Environmental Health Initiative, Rice University, 6100 Main Street, MS-2, Houston, TX 77005, United States;2. Yale University, School of Forestry and Environmental Studies, 195 Prospect St., New Haven, CT 06511, United States;3. Rice University, Department of Statistics, 6100 Main Street, Houston, TX 77005, United States;1. Department of Urban Planning, University of Wisconsin-, Milwaukee, United States;2. Humphrey School of Public Affairs, University of Minnesota, United States;3. School of Government, Peking University, China
Abstract:The concept of environmental justice (EJ) has recently gained currency, both as a factor for and a goal of sustainable development. Its implementation in practice implies establishing current environmental injustice patterns and analysing planning policies, with the aim to reduce socio-demographic inequalities in the negative environmental impact borne by different population groups. This paper proposes a method to assess differential exposure to excessive pollution levels by socio-demographic groups in intra-urban spaces.The approach developed in this paper is based upon GIS and quantitative spatial analysis techniques. It incorporates the idea of an ‘environmental justice weighting scale’ for policy-making, using normative pollution thresholds to measure inequalities more objectively and consistently. Spain’s two largest cities, Madrid and Barcelona, have been chosen as case-studies, taking nitrogen dioxide as the pollutant, and the geographic distribution of six vulnerable population groups (children, elderly people and international immigrants) in the year 2010. The results reveal that a large part of these groups suffer exposure to air pollution exceeding the maximum permitted levels disproportionately, which would imply a case of environmental injustice.
Keywords:Environmental justice  Vulnerable populations  Urban pollution  Spatial externalities  Geographical Information Systems
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