How Neighborhood Characteristics Influence Neighborhood Crimes: A Bayesian Hierarchical Spatial Analysis
文献类型：期刊论文
| 作者 | Yu, Danlin2; Fang, Chuanglin1 |
| 刊名 | INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
 |
| 出版日期 | 2022-09-01 |
| 卷号 | 19期号:18页码:16 |
| 关键词 | urban crimes census block groups spatial data analysis Bayesian hierarchical modeling varying coefficients model Paterson |
| DOI | 10.3390/ijerph191811416 |
| 通讯作者 | Yu, Danlin(yud@montclair.edu) |
| 英文摘要 | Urban crimes are a severe threat to livable and sustainable urban environments. Many studies have investigated the patterns, causes, and strategies for curbing the occurrence of urban crimes. It is found that neighborhood socioeconomic status, physical environment, and ethnic composition all might play a role in the occurrence of urban crimes. Inspired by the recent interest in exploring urban crime patterns with spatial data analysis techniques and the development of Bayesian hierarchical analytical approaches, we attempt to explore the inherently intricate relationships between urban assaultive violent crimes and the neighborhood socioeconomic status, physical environment, and ethnic composition in Paterson, NJ, using census data of the American Community Survey, alcohol and tobacco sales outlet data, and abandoned property listing data from 2013. Analyses are set at the census block group level. Urban crime data are obtained from the Paterson Police Department. Instead of examining relationships at a global level with both non-spatial and spatial analyses, we examine in depth the potential locally varying relationships at the local level through a Bayesian hierarchical spatially varying coefficient model. At both the global and local analysis levels, it is found that median household income is decisively negatively related to urban crime occurrence. Percentage of African Americans and Hispanics, number of tobacco sales outlets, and number of abandoned properties are all positively related with urban crimes. At the local level of analysis, however, the different factors have varying influence on crime occurrence throughout the city of Paterson, with median household income having the broadest influence across the city. The practice of applying a Bayesian hierarchical spatial analysis framework to understand urban crime occurrence and urban neighborhood characteristics enables urban planners, stakeholders, and public safety officials to engage in more active and targeted crime-reduction strategies. |
| WOS关键词 | TOBACCO OUTLET DENSITY ; VIOLENT CRIME ; ALCOHOL OUTLETS ; PUBLIC SAFETY ; URBAN-CRIME ; COMMUNITY ; IMPACT ; MODEL ; VIEW ; DISADVANTAGE |
| WOS研究方向 | Environmental Sciences & Ecology ; Public, Environmental & Occupational Health |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000858571400001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/184791]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yu, Danlin |
| 作者单位 | 1.Chinese Acad Sci, Ctr Urban & Reg Planning Design & Res, Inst Geog Sci & Nat Resources Res, Beijing 100045, Peoples R China 2.Montclair State Univ, Dept Earth & Environm Studies, Montclair, NJ 07043 USA |
| 推荐引用方式 GB/T 7714 | Yu, Danlin,Fang, Chuanglin. How Neighborhood Characteristics Influence Neighborhood Crimes: A Bayesian Hierarchical Spatial Analysis[J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,2022,19(18):16. |
| APA | Yu, Danlin,&Fang, Chuanglin.(2022).How Neighborhood Characteristics Influence Neighborhood Crimes: A Bayesian Hierarchical Spatial Analysis.INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,19(18),16. |
| MLA | Yu, Danlin,et al."How Neighborhood Characteristics Influence Neighborhood Crimes: A Bayesian Hierarchical Spatial Analysis".INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 19.18(2022):16. |
入库方式： OAI收割
来源：地理科学与资源研究所
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