Environmental Justice, Lead, and Crime
Exploring the Spatial Distribution and Impact of Industrial Facilities in Hillsborough County, Florida
Dados Bibliográficos
| ID | 2155494 |
|---|---|
| Autores | Kim Michelle Lersch (0000-0002-0657-3446, University of South Florida, autor correspondente), Timothy C Hart (0000-0003-4369-3962, Griffith University) |
| Ano | 2014 |
| Volume | 34 |
| Fascículo | 1 |
| Páginas | 1-21 |
| Data de publicação | 2014-01-02 |
| Peer Reviewed | Sim |
| Open Access | Não |
| Tipo | ARTICLE |
| Periódico | Sociological Spectrum (JOURNAL) |
| Identificadores do periódico | ISSN: 0273-2173 • E-ISSN: 1521-0707 |
| Editora | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/02732173.2014.857184 |
| OpenAlex | W2002920070 |
| Idioma | EN |
| Citações recebidas | 10 |
| Referências citadas | 41 |
This research explores relationships between the spatial distribution of industrial facilities that release lead and lead compounds, community characteristics, and levels of violent and property crime in Hillsborough County, Florida. The spatial distribution of selected Toxics Release Inventory (TRI) facilities was modeled using Getis-Ord Gi* to classify census tracts into three groups: (1) tracts with statistically significant spatial clusters of TRIs; (2) tracts where there was a non-random-absence of TRIs; and (3) tracts with a random distribution of TRIs. Results of one-way ANOVA comparing demographics of clustered locations of TRIs to random and dispersed areas found significant differences, but local prediction models from geographically weighted regression (GWR) were no more useful in understanding TRI concentrations in areas where they are more clustered than in random or dispersed areas. GWR models predicting property crime were improved when TRI concentration was used in random and dispersed areas, but TRI concentration did not improve models predicting violent crime rates
Census · Census tract · Demographics · Environmental justice · Geography · Physical geography · Political science · Sociology · Spatial distribution · Statistics · Demography · Environmental Justice and Health Disparities · Environmental Science · Heavy Metal Exposure and Toxicity · Law · Mathematics · Urban, Neighborhood, and Segregation Studies · Geology
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| Obras citantes distintas | 10 |
|---|---|
| Citações por ano | 0,91 |
| Intervalo de citações | 2015 - 2024 (10) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 10 |