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Measurement of Potential Victims of Burglary at the Mesoscale: Comparison of Census, Phone Users, and Social Media Data

by 1,2, 3,4,* and 1
1
School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
2
Guangdong Provincial Engineering Research Center for Public Security and Disaster, Guangzhou 510275, China
3
Center of GeoInformatics for Public Security, School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China
4
Department of Geography and GIS, University of Cincinnati, Cincinnati, OH 45221, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2021, 10(5), 280; https://doi.org/10.3390/ijgi10050280
Received: 3 March 2021 / Revised: 6 April 2021 / Accepted: 26 April 2021 / Published: 28 April 2021
Since the target of burglars is generally the property of the inhabitant, it is crucial to accurately measure potential victims when analyzing burglaries, especially in small areas. Previous studies on burglary are mostly based on large units such as census tracts or communities. One of the difficulties is the measurement of the potential victims of burglary at the mesoscale. We compare the measuring effects of census population, census households, nighttime mobile phone users, and nighttime social media, such as the Tencent regional heatmap (TRH), on potential victims of burglary on 150 m × 150 m grids. Based on the rational choice theory, and controlling for the potentially confounding effects of risks and cost, we show that the TRH performed best, followed by census households and census population, and phone users performed poorly. The best-performing time period for TRH data was 3:00–5:00 am on weekends. These findings could lead to an improved measurement of potential victims of burglary at the mesoscale, and could provide scientific insight for crime prevention. View Full-Text
Keywords: crime geography; Tencent regional heatmap; mobile phone users; residential population; potential victims crime geography; Tencent regional heatmap; mobile phone users; residential population; potential victims
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MDPI and ACS Style

Zhang, Z.; Liu, L.; Cheng, S. Measurement of Potential Victims of Burglary at the Mesoscale: Comparison of Census, Phone Users, and Social Media Data. ISPRS Int. J. Geo-Inf. 2021, 10, 280. https://doi.org/10.3390/ijgi10050280

AMA Style

Zhang Z, Liu L, Cheng S. Measurement of Potential Victims of Burglary at the Mesoscale: Comparison of Census, Phone Users, and Social Media Data. ISPRS International Journal of Geo-Information. 2021; 10(5):280. https://doi.org/10.3390/ijgi10050280

Chicago/Turabian Style

Zhang, Zhuofang, Lin Liu, and Sisun Cheng. 2021. "Measurement of Potential Victims of Burglary at the Mesoscale: Comparison of Census, Phone Users, and Social Media Data" ISPRS International Journal of Geo-Information 10, no. 5: 280. https://doi.org/10.3390/ijgi10050280

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