Crime Geosurveillance in Microscale Urban Environments
NetSurveillance
Bibliographic Data
| ID | 4860209 |
|---|---|
| Authors | Shino Shiode (0000-0003-4392-1814, Birkbeck, University of London), Narushige Shiode (0000-0003-3065-3654, King's College London) |
| Year | 2020 |
| Volume | 110 |
| Issue | 5 |
| Pages | 1386-1406 |
| Publication date | 2020-09-02 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Annals of the American Association of Geographers (JOURNAL) |
| Journal identifiers | ISSN: 2469-4452 • E-ISSN: 2469-4460 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/24694452.2019.1696663 |
| OpenAlex | W3003582506 |
| Language | EN |
| Citations received | 2 |
| References cited | 55 |
Events and phenomena such as crime incidents and outbreak of an epidemic tend to form concentrations of high risk known as hotspots. Geosurveillance is an increasingly popular notion for detecting and monitoring the emergence of and changes in hotspots. Yet the existing range of methods is not designed to accurately detect emerging risks at the microscale of street address level. This study proposes NetSurveillance, a method for monitoring the emergence of significant concentrations of events along the intricate network of urban streets. Through a simulation test, the study demonstrates the high accuracy of NetSurveillance in detecting such clusters, outperforming its conventional counterpart conclusively when applied at the individual street address level. Empirical analysis of drug incidents from Chicago also illustrates its capacity to identify rapid outbursts of crimes as well as a more gradual buildup of such a concentration, and their disappearance, either as a one-off or as part of a recurrent hotbed
Computer security · Criminology · Drug trafficking · Geography · Microscale chemistry · Sociology · Computer Science · Crime Patterns and Interventions · Data-Driven Disease Surveillance · Human Mobility and Location-Based Analysis
Infectious Disease Informatics
Spatial disease clusters
A Space–Time Permutation Scan Statistic for Disease Outbreak Detection
A spatial scan statistic
Self-Exciting Point Process Modeling of Crime
Risk Clusters, Hotspots, and Spatial Intelligence
The law of concentrations of crime at place
Is it Important to Examine Crime Trends at a Local “Micro” Level
General deterrent effects of police patrol in crime “hot spots”
The Concentration and Stability of Gun Violence at Micro Places in Boston, 1980–2008
The Effects of Hot Spots Policing on Crime
Policing drug hot spots
The Criminology of Place
The Effects of Hot Spots Policing on Crime
Trajectories of Crime at Places
Policing Crime and Disorder Hot Spots
The Law of Crime Concentration and the Criminology of Place
Forecasting Recorded Property Crime Using a Time-Series Econometric Model
Hot Spots of Predatory Crime
| Citations per year | 0.5 |
|---|---|
| Citation span | 2022 - 2025 (4) |
| Highly cited | No |