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Open AccessJournal ArticleDOI

The Impact of Urban Facilities on Crime during the Pre- and Pandemic Periods: A Practical Study in Beijing

Xin Zhang, +1 more
- 25 Jan 2023 - 
- Vol. 20, Iss: 3, pp 2163-2163
TLDR
Wang et al. as mentioned in this paper investigated the impact of urban facilities on crimes during both periods by using negative binomial regression (NBR) and geographical weight regression (GWR), and found that during the pandemic period, a reduction in the count and spatial concentration of both property crimes were observed.
Abstract
The measures in the fight against COVID-19 have reshaped the functions of urban facilities, which might cause the associated crimes to vary with the occurrence of the pandemic. This paper aimed to study this phenomenon by conducting quantitative research. By treating the area under the jurisdiction of the police station (AJPS) as spatial units, the residential burglary and non-motor vehicle theft that occurred during the first-level response to the public health emergencies (pandemic) period in 2020 and the corresponding temporal window (pre-pandemic) in 2019 were collected and a practical study to Beijing was made. The impact of urban facilities on crimes during both periods was analyzed independently by using negative binomial regression (NBR) and geographical weight regression (GWR). The findings demonstrated that during the pandemic period, a reduction in the count and spatial concentration of both property crimes were observed, and the impact of facilities on crime changed. Some facilities lost their impact on crime during the pandemic period, while other facilities played a significant role in generating crime. Additionally, the variables that always kept a stable significant impact on crime during the pre- and pandemic periods demonstrated a heterogeneous impact in space and experienced some variations across the periods. The study proved that the strategies in the fight against COVID-19 changed the impact of urban facilities on crime occurrence, which deeply reshaped the crime patterns.

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Citations
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Journal ArticleDOI

Spatiotemporal Distribution and Influencing Factors of Theft during the Pre-COVID-19 and COVID-19 Periods: A Case Study of Haining City, Zhejiang, China

TL;DR: In this paper , the authors analyzed the theft frequency and location characteristics of the study area through mathematical statistics and hot spot analysis methods to discover the spatiotemporal divergence characteristics of theft in the area during the pre-COVID-19 and COVID19 periods.
References
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Journal ArticleDOI

Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity

TL;DR: A technique is developed, termed geographically weighted regression, which attempts to capture variation by calibrating a multiple regression model which allows different relationships to exist at different points in space by using Monte Carlo methods.
Journal ArticleDOI

Spatial Variations in School Performance: A Local Analysis Using Geographically Weighted Regression

TL;DR: In this paper, the performance of all state primary schools is assessed by students' attainment levels in a set of standardized tests administered to pupils at the ages of 7 and 11 (the so-called Key Stages 1 and 2, respectively).
Journal ArticleDOI

Crime and coronavirus: social distancing, lockdown, and the mobility elasticity of crime.

TL;DR: It is theorised that crime rate changes were primarily caused by those in mobility, suggesting a mobility theory of crime change in the pandemic.
Journal ArticleDOI

Exploring the Immediate Effects of COVID-19 Containment Policies on Crime: an Empirical Analysis of the Short-Term Aftermath in Los Angeles.

TL;DR: Results suggest that, in the first weeks after the interventions are put in place, social distancing impacts more directly on instrumental and less serious crimes.
Trending Questions (1)
How has crime rate in gentrifying neighborhoods changed during the COVID-19 crisis compared to pre-pandemic periods?

The answer to the query is not provided in the paper. The paper focuses on the impact of urban facilities on crime during the pre- and pandemic periods in Beijing, China. It does not specifically discuss the crime rate in gentrifying neighborhoods during the COVID-19 crisis.