Measurement of Potential Victims of Burglary at the Mesoscale
Comparison of Census, Phone Users, and Social Media Data
Bibliographic Data
| ID | 22031971 |
|---|---|
| Authors | Zhuofang Zhang (0000-0002-3769-3088, Sun Yat-sen University), Lin Liu (0000-0002-7202-3418, Guangzhou University, corresponding author), Sisun Cheng (Sun Yat-sen University) |
| Year | 2021 |
| Volume | 10 |
| Issue | 5 |
| Pages | 280 |
| Publication date | 2021-04-28 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi10050280 |
| OpenAlex | W3158779274 |
| Language | EN |
| Citations received | 2 |
| References cited | 29 |
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
American Community Survey · Census · Geography · Mobile phone · Phone · Population · Sociology · Telecommunications · Computer Science · Crime Patterns and Interventions · Demography · Human Mobility and Location-Based Analysis · Impact of Light on Environment and Health
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| Citations per year | 0.67 |
|---|---|
| Citation span | 2023 - 2024 (2) |
| Highly cited | No |