Publicação
Illuminating Inequality
| Resumo: | Artificial light pollution at night (ALAN) poses significant environmental and social challenges, impacting biodiversity, human health, and energy efficiency. This study examines the spatial distribution of ALAN across England and its relationship with population density, income, and Index of Multiple Deprivation (IMD). Using 2022 VIIRS data, Moran’s I, Ordinary Least Squares (OLS), and Geographically Weighted Regression (GWR) were applied to assess these relationships. GWR outperformed OLS, capturing spatial heterogeneity and revealing localized associations. Population density emerged as the strongest predictor, particularly in urban areas, while income was a key factor in affluent southern regions. Elevated ALAN in deprived areas suggest the influence of additional factors like land use and infrastructure. These findings underscore the need for localized lighting strategies to address environmental and social disparities and promote sustainable urban planning. |
|---|---|
| Autores principais: | Neri, Margaux |
| Outros Autores: | Tang, Vicente |
| Assunto: | light pollution inequality England spatial statistics SDG 10 - Reduced Inequalities SDG 11 - Sustainable Cities and Communities SDG 3 - Good Health and Well-being SDG 7 - Affordable and Clean Energy SDG 15 - Life on Land |
| Ano: | 2025 |
| País: | Portugal |
| Tipo de documento: | póster em conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Nova de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório Institucional da UNL |
| _version_ | 1868984124429041664 |
|---|---|
| author | Neri, Margaux |
| author2 | Tang, Vicente |
| author2_role | author |
| author_facet | Neri, Margaux Tang, Vicente |
| author_role | author |
| contributor_name_str_mv | Information Management Research Center (MagIC) - NOVA Information Management School NOVA Information Management School (NOVA IMS) RUN |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Neri, Margaux\"},{\"Person.name\":\"Tang, Vicente\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Information Management Research Center (MagIC) - NOVA Information Management School NOVA Information Management School (NOVA IMS) RUN |
| datacite.creators.creator.creatorName.fl_str_mv | Neri, Margaux Tang, Vicente |
| datacite.date.Accepted.fl_str_mv | 2025-05-04T00:00:00Z |
| datacite.date.available.fl_str_mv | 2025-05-16T21:45:16Z |
| datacite.date.embargoed.fl_str_mv | 2025-05-16T21:45:16Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | light pollution inequality England spatial statistics SDG 10 - Reduced Inequalities SDG 11 - Sustainable Cities and Communities SDG 3 - Good Health and Well-being SDG 7 - Affordable and Clean Energy SDG 15 - Life on Land |
| datacite.titles.title.fl_str_mv | Illuminating Inequality Spatial Patterns of Light Pollution and Socioeconomic Disparity Across England |
| dc.contributor.none.fl_str_mv | Information Management Research Center (MagIC) - NOVA Information Management School NOVA Information Management School (NOVA IMS) RUN |
| dc.creator.none.fl_str_mv | Neri, Margaux Tang, Vicente |
| dc.date.Accepted.fl_str_mv | 2025-05-04T00:00:00Z |
| dc.date.available.fl_str_mv | 2025-05-16T21:45:16Z |
| dc.date.embargoed.fl_str_mv | 2025-05-16T21:45:16Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10362/183122 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | light pollution inequality England spatial statistics SDG 10 - Reduced Inequalities SDG 11 - Sustainable Cities and Communities SDG 3 - Good Health and Well-being SDG 7 - Affordable and Clean Energy SDG 15 - Life on Land |
| dc.title.fl_str_mv | Illuminating Inequality Spatial Patterns of Light Pollution and Socioeconomic Disparity Across England |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6670 |
| description | Artificial light pollution at night (ALAN) poses significant environmental and social challenges, impacting biodiversity, human health, and energy efficiency. This study examines the spatial distribution of ALAN across England and its relationship with population density, income, and Index of Multiple Deprivation (IMD). Using 2022 VIIRS data, Moran’s I, Ordinary Least Squares (OLS), and Geographically Weighted Regression (GWR) were applied to assess these relationships. GWR outperformed OLS, capturing spatial heterogeneity and revealing localized associations. Population density emerged as the strongest predictor, particularly in urban areas, while income was a key factor in affluent southern regions. Elevated ALAN in deprived areas suggest the influence of additional factors like land use and infrastructure. These findings underscore the need for localized lighting strategies to address environmental and social disparities and promote sustainable urban planning. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | conferencePoster |
| fulltext.url.fl_str_mv | https://run.unl.pt/bitstreams/7b1ca460-a66e-4121-80a0-237302f4d987/download |
| funder_facet_str_mv | FCT{{{_:::_}}}Fundação para a Ciência e a Tecnologia |
| funding.funder.alternateName_str_mv | FCT |
| funding.funder.identifier_str_mv | http://doi.org/10.13039/501100001871 |
| funding.funder.name_str_mv | Fundação para a Ciência e a Tecnologia |
| funding.name_str_mv | 6817 - DCRRNI ID |
| id | run_5dc29db5202e7e7d2df72abd0bbf5db3 |
| identifier.url.fl_str_mv | http://hdl.handle.net/10362/183122 |
| inst_facet_str | urn:organizationAcronym:unl{{{_:::_}}}Universidade Nova de Lisboa |
| instacron_str | unl |
| institution | Universidade Nova de Lisboa |
| instname_str | Universidade Nova de Lisboa |
| language | eng |
| network_acronym_str | run |
| network_name_str | Repositório Institucional da UNL |
| oai_identifier_str | oai:run.unl.pt:10362/183122 |
| organization_str_mv | urn:organizationAcronym:unl |
| person_str_mv | Neri, Margaux Tang, Vicente |
| publishDate | 2025 |
| repo_facet_str | urn:repositoryAcronym:run{{{_:::_}}}Repositório Institucional da UNL |
| reponame_str | Repositório Institucional da UNL |
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| service_str_mv | urn:repositoryAcronym:run |
| spelling | engenArtificial light pollution at night (ALAN) poses significant environmental and social challenges, impacting biodiversity, human health, and energy efficiency. This study examines the spatial distribution of ALAN across England and its relationship with population density, income, and Index of Multiple Deprivation (IMD). Using 2022 VIIRS data, Moran’s I, Ordinary Least Squares (OLS), and Geographically Weighted Regression (GWR) were applied to assess these relationships. GWR outperformed OLS, capturing spatial heterogeneity and revealing localized associations. Population density emerged as the strongest predictor, particularly in urban areas, while income was a key factor in affluent southern regions. Elevated ALAN in deprived areas suggest the influence of additional factors like land use and infrastructure. These findings underscore the need for localized lighting strategies to address environmental and social disparities and promote sustainable urban planning.application/pdfenIlluminating InequalitySubtitleenSpatial Patterns of Light Pollution and Socioeconomic Disparity Across EnglandNeri, MargauxTang, VicenteInformation Management Research Center (MagIC) - NOVA Information Management SchoolNOVA Information Management School (NOVA IMS)HostingInstitutionOrganizationalRUNe-mailmailto:run@unl.ptrun@unl.ptURNIsPartOfPURE: 116094153URNIsPartOfPURE UUID: 143d26e0-435e-4ff4-a461-570006a9a3f4DOIIsPartOf10.5281/zenodo.153359202025-05-16T21:45:16Z2025-05-042025-05-04T00:00:00ZHandlehttp://hdl.handle.net/10362/183122http://purl.org/coar/access_right/c_abf2open accesslight pollutioninequalityEnglandspatial statisticsSDG 10 - Reduced InequalitiesSDG 11 - Sustainable Cities and CommunitiesSDG 3 - Good Health and Well-beingSDG 7 - Affordable and Clean EnergySDG 15 - Life on Land339513 bytesFundação para a Ciência e a TecnologiaInformation Management Research Center6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871other research producthttp://purl.org/coar/resource_type/c_6670conference posterhttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://run.unl.pt/bitstreams/7b1ca460-a66e-4121-80a0-237302f4d987/download |
| spellingShingle | Illuminating Inequality Neri, Margaux light pollution inequality England spatial statistics SDG 10 - Reduced Inequalities SDG 11 - Sustainable Cities and Communities SDG 3 - Good Health and Well-being SDG 7 - Affordable and Clean Energy SDG 15 - Life on Land |
| status | SINGLETON |
| subject.fl_str_mv | light pollution inequality England spatial statistics SDG 10 - Reduced Inequalities SDG 11 - Sustainable Cities and Communities SDG 3 - Good Health and Well-being SDG 7 - Affordable and Clean Energy SDG 15 - Life on Land |
| title | Illuminating Inequality |
| title_full | Illuminating Inequality |
| title_fullStr | Illuminating Inequality |
| title_full_unstemmed | Illuminating Inequality |
| title_short | Illuminating Inequality |
| title_sort | Illuminating Inequality |
| topic | light pollution inequality England spatial statistics SDG 10 - Reduced Inequalities SDG 11 - Sustainable Cities and Communities SDG 3 - Good Health and Well-being SDG 7 - Affordable and Clean Energy SDG 15 - Life on Land |
| topic_facet | light pollution inequality England spatial statistics SDG 10 - Reduced Inequalities SDG 11 - Sustainable Cities and Communities SDG 3 - Good Health and Well-being SDG 7 - Affordable and Clean Energy SDG 15 - Life on Land |
| url | http://hdl.handle.net/10362/183122 |
| visible | 1 |