Spatial analysis of the air pollution effect on domestic violence and robbery in New South Wales

I. Gede Brawiswa Putra, Pei Fen Kuo, Hsu Hsien Chen

研究成果: Paper同行評審

摘要

Air pollution is a serious problem that poses human physical and mental health. However, most studies focus on the direct impacts of air pollution to health, and few of them examine the indirect impacts of air pollution on crime. According to the literature, air pollution could cause mental problems and increase crime risks. Also, air pollution reduces human outdoor behaviors and daily activity patterns. Therefore, our hypothesis is that air pollution may reduce outdoor crimes but increase indoors crimes because air pollution reduced people's daily outdoor activities and increase crime risk. Two types of crimes were used for analysis, include: robbery (outdoor crime), and domestic violence (indoor crime). We applied three spatial models, OLS, GWR, and GTWR (Geographically and Temporally Weighted Regression), to define the relationship among air pollution and different crime types. The study datasets include one-year (2016) crime records, socioeconomic variables, and air quality index data (AQI) from the official websites of New South Wales. The result revealed that GTWR model performs best because it includes the dynamic impacts of air pollution change over time and spatial dependence of crimes. In general, the model shows that air pollution has a significant negative relationship with robbery. The impact of the AQI increases from urban to rural area for robbery. In contrast, AQI has a significant positive correlation with domestic violence. The model shows that the impact of AQI increase from rural to urban. The study results can contribute to develop future crime prevention strategy and allocate enforcement resources.

原文English
出版狀態Published - 2020 一月 1
事件40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019 - Daejeon, Korea, Republic of
持續時間: 2019 十月 142019 十月 18

Conference

Conference40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019
國家Korea, Republic of
城市Daejeon
期間19-10-1419-10-18

All Science Journal Classification (ASJC) codes

  • Information Systems

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