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Kazuki Hirama, Kaeko Yokota, Yusuke Otsuka, Kazumi Watanabe, Naoto Yabe and Yoshinori Hawai
This study used spatial interaction modeling to examine whether origin-specific and destination-specific factors, distance decay effects, and spatial structures explain the criminal trips of residential burglars. In total, 4041 criminal trips committed b...
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Natalia Sypion-Dutkowska, Minxuan Lan, Marek Dutkowski and Victoria Williams
The article aims to propose a new way of estimating the ambient and immobile urban population using geotagged tweets and age structure, and to test how they are related to urban crime patterns. Using geotagged tweets and age structure data in 37 neighbor...
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Anton Borg and Martin Svensson
The evidence that burglaries cluster spatio-temporally is strong. However, research is unclear on whether clustered burglaries (repeats/near-repeats) should be treated as qualitatively different crimes compared to spatio-temporally unrelated burglaries (...
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Sophie Curtis-Ham, Wim Bernasco, Oleg N. Medvedev and Devon L. L. Polaschek
It is well established that offenders? routine activity locations (nodes) shape their crime locations, but research examining the geography of offenders? routine activity spaces has to date largely been limited to a few core nodes such as homes and prior...
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Mengjie Yang, Zhe Chen, Mengjie Zhou, Xiaojin Liang and Ziyue Bai
The coronavirus disease 2019 (COVID-19) pandemic has had tremendous and extensive impacts on the people?s daily activities. In Chicago, the numbers of crime fell considerably. This work aims to investigate the impacts that COVID-19 has had on the spatial...
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Chao Jiang, Lin Liu, Xiaoxing Qin, Suhong Zhou and Kai Liu
The importance of combining spatial and temporal aspects has been increasingly recognized over recent years, yet pertinent pattern analysis methods in place-based crime research still need further development to explicitly indicate spatial-temporal local...
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Yeran Sun, Ying Huang, Ke Yuan, Ting On Chan and Yu Wang
COVID-19 containment policies are not only curbing the spread of COVID-19 but also changing human behavior. According to the routine activity theory, owing to lockdown, the closure of entertainment sites (e.g., pubs and bars), an increase in stay-at-home...
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Peng Chen and Justin Kurland
?Strike Hard? is an enhanced law-enforcement strategy in China that aims to suppress crime, but measurement of the crime-reducing effect and potential changes in the spatiotemporal concentration of crime associated with ?Strike Hard? remain unknown. This...
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Zhiran Zhang, Dexuan Sha, Beidi Dong, Shiyang Ruan, Agen Qiu, Yun Li, Jiping Liu and Chaowei Yang
The death of George Floyd has brought a new wave of 2020 Black Lives Matter (BLM) protests into U.S. cities. Protests happened in a few cities accompanied by reports of violence over the first few days. The protests appear to be related to rising crime. ...
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Jianguo Chen, Lin Liu, Luzi Xiao, Chong Xu and Dongping Long
Negative binomial (NB) regression model has been used to analyze crime in previous studies. The disadvantage of the NB model is that it cannot deal with spatial effects. Therefore, spatial regression models, such as the geographically weighted Poisson re...
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