Environmental Health Related Socio-Spatial Inequalities: Identifying “Hotspots” of Environmental Burdens and Social Vulnerability

Differential exposure to multiple environmental burdens and benefits and their distribution across a population with varying vulnerability can contribute heavily to health inequalities. Particularly relevant are areas with high cumulative burdens and high social vulnerability termed as “hotspots”. T...

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Main Authors: Rehana Shrestha, Johannes Flacke, Javier Martinez, Martin van Maarseveen
Format: Article
Language:English
Published: MDPI AG 2016-07-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Online Access:http://www.mdpi.com/1660-4601/13/7/691
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spelling doaj-7c1690aaf29d43278a1381edc623c71e2020-11-24T23:42:20ZengMDPI AGInternational Journal of Environmental Research and Public Health1660-46012016-07-0113769110.3390/ijerph13070691ijerph13070691Environmental Health Related Socio-Spatial Inequalities: Identifying “Hotspots” of Environmental Burdens and Social VulnerabilityRehana Shrestha0Johannes Flacke1Javier Martinez2Martin van Maarseveen3Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, PO Box 217, 7500 AE Enschede, The NetherlandsFaculty of Geo-information Science and Earth Observation (ITC), University of Twente, PO Box 217, 7500 AE Enschede, The NetherlandsFaculty of Geo-information Science and Earth Observation (ITC), University of Twente, PO Box 217, 7500 AE Enschede, The NetherlandsFaculty of Geo-information Science and Earth Observation (ITC), University of Twente, PO Box 217, 7500 AE Enschede, The NetherlandsDifferential exposure to multiple environmental burdens and benefits and their distribution across a population with varying vulnerability can contribute heavily to health inequalities. Particularly relevant are areas with high cumulative burdens and high social vulnerability termed as “hotspots”. This paper develops an index-based approach to assess these multiple burdens and benefits in combination with vulnerability factors at detailed intra-urban level. The method is applied to the city of Dortmund, Germany. Using non-spatial and spatial methods we assessed inequalities and identified “hotspot” areas in the city. We found modest inequalities burdening higher vulnerable groups in Dortmund (CI = −0.020 at p < 0.05). At the detailed intra-urban level, however, inequalities showed strong geographical patterns. Large numbers of “hotspots” exist in the northern part of the city compared to the southern part. A holistic assessment, particularly at a detailed local level, considering both environmental burdens and benefits and their distribution across the population with the different vulnerability, is essential to inform environmental justice debates and to mobilize local stakeholders. Locating “hotspot” areas at this detailed spatial level can serve as a basis to develop interventions that target vulnerable groups to ensure a health conducive equal environment.http://www.mdpi.com/1660-4601/13/7/691multiple burdens and benefitsspatial inequalitysocial vulnerability“hotspots”indicatorsdasymetric method
collection DOAJ
language English
format Article
sources DOAJ
author Rehana Shrestha
Johannes Flacke
Javier Martinez
Martin van Maarseveen
spellingShingle Rehana Shrestha
Johannes Flacke
Javier Martinez
Martin van Maarseveen
Environmental Health Related Socio-Spatial Inequalities: Identifying “Hotspots” of Environmental Burdens and Social Vulnerability
International Journal of Environmental Research and Public Health
multiple burdens and benefits
spatial inequality
social vulnerability
“hotspots”
indicators
dasymetric method
author_facet Rehana Shrestha
Johannes Flacke
Javier Martinez
Martin van Maarseveen
author_sort Rehana Shrestha
title Environmental Health Related Socio-Spatial Inequalities: Identifying “Hotspots” of Environmental Burdens and Social Vulnerability
title_short Environmental Health Related Socio-Spatial Inequalities: Identifying “Hotspots” of Environmental Burdens and Social Vulnerability
title_full Environmental Health Related Socio-Spatial Inequalities: Identifying “Hotspots” of Environmental Burdens and Social Vulnerability
title_fullStr Environmental Health Related Socio-Spatial Inequalities: Identifying “Hotspots” of Environmental Burdens and Social Vulnerability
title_full_unstemmed Environmental Health Related Socio-Spatial Inequalities: Identifying “Hotspots” of Environmental Burdens and Social Vulnerability
title_sort environmental health related socio-spatial inequalities: identifying “hotspots” of environmental burdens and social vulnerability
publisher MDPI AG
series International Journal of Environmental Research and Public Health
issn 1660-4601
publishDate 2016-07-01
description Differential exposure to multiple environmental burdens and benefits and their distribution across a population with varying vulnerability can contribute heavily to health inequalities. Particularly relevant are areas with high cumulative burdens and high social vulnerability termed as “hotspots”. This paper develops an index-based approach to assess these multiple burdens and benefits in combination with vulnerability factors at detailed intra-urban level. The method is applied to the city of Dortmund, Germany. Using non-spatial and spatial methods we assessed inequalities and identified “hotspot” areas in the city. We found modest inequalities burdening higher vulnerable groups in Dortmund (CI = −0.020 at p < 0.05). At the detailed intra-urban level, however, inequalities showed strong geographical patterns. Large numbers of “hotspots” exist in the northern part of the city compared to the southern part. A holistic assessment, particularly at a detailed local level, considering both environmental burdens and benefits and their distribution across the population with the different vulnerability, is essential to inform environmental justice debates and to mobilize local stakeholders. Locating “hotspot” areas at this detailed spatial level can serve as a basis to develop interventions that target vulnerable groups to ensure a health conducive equal environment.
topic multiple burdens and benefits
spatial inequality
social vulnerability
“hotspots”
indicators
dasymetric method
url http://www.mdpi.com/1660-4601/13/7/691
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