FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2903598982> ?p ?o ?g. }

• W2903598982 endingPage "100340" @default.
• W2903598982 startingPage "100340" @default.
• W2903598982 abstract "Following the growing empirical evidence on the health effects of air pollution and noise, the fair distribution of these impacts receives increasing attention. The existing environmental inequality studies often focus on a single environmental impact, apply a limited range of covariates or do not correct for spatial autocorrelation. This article presents a geospatial data analysis on Ghent (Belgium), combining residential exposure to air pollution and noise with socioeconomic variables and housing variables. The global results show that neighborhoods with lower household incomes, more unemployment, more people of foreign origin, more rental houses, and higher residential mobility, are more exposed to air pollution, but not to noise. Multiple regression models to explain exposure to air pollution show that residential mobility and percentage of rental houses are the strongest predictors, stressing the role of the housing market in explaining which people are most at risk. Applying spatial regression models leads to better models but reduces the importance of all covariates, leaving income and residential mobility as the only significant predictors for air pollution exposure. While traditional multiple regression models were not significant for explaining noise exposure, spatial regression models were, and also indicate the significant contribution of income to the model. This means income is a robust predictor for both air pollution and noise exposure across the whole urban territory. The results provide a good starting point for discussions about environmental justice and the need for policy action. The study also underlines the importance of taking spatial autocorrelation into account when analyzing environmental inequality." @default.
• W2903598982 created "2018-12-22" @default.
• W2903598982 creator A5023311934 @default.
• W2903598982 date "2019-04-01" @default.
• W2903598982 modified "2023-10-01" @default.
• W2903598982 title "Unequal residential exposure to air pollution and noise: A geospatial environmental justice analysis for Ghent, Belgium" @default.
• W2903598982 cites W1703748868 @default.
• W2903598982 cites W1903457033 @default.
• W2903598982 cites W1939507719 @default.
• W2903598982 cites W1967676247 @default.
• W2903598982 cites W1970592378 @default.
• W2903598982 cites W1978238916 @default.
• W2903598982 cites W1981303445 @default.
• W2903598982 cites W1994770419 @default.
• W2903598982 cites W2001907290 @default.
• W2903598982 cites W2002561201 @default.
• W2903598982 cites W2003076663 @default.
• W2903598982 cites W2014108548 @default.
• W2903598982 cites W2015476761 @default.
• W2903598982 cites W2016058910 @default.
• W2903598982 cites W2016546832 @default.
• W2903598982 cites W2018576957 @default.
• W2903598982 cites W2029702043 @default.
• W2903598982 cites W2035438790 @default.
• W2903598982 cites W2037547355 @default.
• W2903598982 cites W2039890513 @default.
• W2903598982 cites W2047004330 @default.
• W2903598982 cites W2068197245 @default.
• W2903598982 cites W2072297545 @default.
• W2903598982 cites W2091095920 @default.
• W2903598982 cites W2091869356 @default.
• W2903598982 cites W2094490157 @default.
• W2903598982 cites W2098871663 @default.
• W2903598982 cites W2098989527 @default.
• W2903598982 cites W2109052774 @default.
• W2903598982 cites W2109933771 @default.
• W2903598982 cites W2110603777 @default.
• W2903598982 cites W2118898434 @default.
• W2903598982 cites W2125718476 @default.
• W2903598982 cites W2130606520 @default.
• W2903598982 cites W2137640148 @default.
• W2903598982 cites W2139652411 @default.
• W2903598982 cites W2140765308 @default.
• W2903598982 cites W2142134925 @default.
• W2903598982 cites W2142635246 @default.
• W2903598982 cites W2150411546 @default.
• W2903598982 cites W2150945953 @default.
• W2903598982 cites W2152983690 @default.
• W2903598982 cites W2153132329 @default.
• W2903598982 cites W2156544967 @default.
• W2903598982 cites W2159469466 @default.
• W2903598982 cites W2166653535 @default.
• W2903598982 cites W2170565777 @default.
• W2903598982 cites W2180450728 @default.
• W2903598982 cites W2258677695 @default.
• W2903598982 cites W2315948709 @default.
• W2903598982 cites W2460174137 @default.
• W2903598982 cites W2784889792 @default.
• W2903598982 doi "https://doi.org/10.1016/j.ssmph.2018.100340" @default.
• W2903598982 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6304432" @default.
• W2903598982 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30623014" @default.
• W2903598982 hasPublicationYear "2019" @default.
• W2903598982 type Work @default.
• W2903598982 sameAs 2903598982 @default.
• W2903598982 citedByCount "32" @default.
• W2903598982 countsByYear W29035989822019 @default.
• W2903598982 countsByYear W29035989822020 @default.
• W2903598982 countsByYear W29035989822021 @default.
• W2903598982 countsByYear W29035989822022 @default.
• W2903598982 countsByYear W29035989822023 @default.
• W2903598982 crossrefType "journal-article" @default.
• W2903598982 hasAuthorship W2903598982A5023311934 @default.
• W2903598982 hasBestOaLocation W29035989821 @default.
• W2903598982 hasConcept C105795698 @default.
• W2903598982 hasConcept C130858481 @default.
• W2903598982 hasConcept C149782125 @default.
• W2903598982 hasConcept C152877465 @default.
• W2903598982 hasConcept C154945302 @default.
• W2903598982 hasConcept C159620131 @default.
• W2903598982 hasConcept C162324750 @default.
• W2903598982 hasConcept C163294075 @default.
• W2903598982 hasConcept C17744445 @default.
• W2903598982 hasConcept C178790620 @default.
• W2903598982 hasConcept C185592680 @default.
• W2903598982 hasConcept C18903297 @default.
• W2903598982 hasConcept C199539241 @default.
• W2903598982 hasConcept C205649164 @default.
• W2903598982 hasConcept C2778560467 @default.
• W2903598982 hasConcept C33923547 @default.
• W2903598982 hasConcept C41008148 @default.
• W2903598982 hasConcept C521259446 @default.
• W2903598982 hasConcept C559116025 @default.
• W2903598982 hasConcept C58640448 @default.
• W2903598982 hasConcept C62649853 @default.
• W2903598982 hasConcept C6422946 @default.
• W2903598982 hasConcept C86803240 @default.
• W2903598982 hasConcept C9770341 @default.
• W2903598982 hasConceptScore W2903598982C105795698 @default.

• next