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Exploring Hotspots of Violent and Property Crime in Malmö, Sweden
Örebro University, School of Behavioural, Social and Legal Sciences.ORCID iD: 0000-0002-1576-5079
Malmö University, Malmö, Sweden.
(English)Manuscript (preprint) (Other academic)
National Category
Law and Society
Identifiers
URN: urn:nbn:se:oru:diva-109863OAI: oai:DiVA.org:oru-109863DiVA, id: diva2:1814156
Available from: 2023-11-23 Created: 2023-11-23 Last updated: 2023-11-23Bibliographically approved
In thesis
1. Forecast: Crime with a chance of feeling unsafe: Examining unsafety (crime and fear of crime) within the context of the surrounding environment
Open this publication in new window or tab >>Forecast: Crime with a chance of feeling unsafe: Examining unsafety (crime and fear of crime) within the context of the surrounding environment
2023 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

In environmental criminology, various methods exist to forecast unsafety. Some are more complex than others. To determine their practicality, we must compare the accuracy of simple, transparent, and functional methods with slightly more complex methods and those requiring more data collection.

The overall aim of the current dissertation was to examine the relationship between crime history, environmental and neighborhood characteristics in forecasting unsafety, both crime and fear of crime, in various geographical locations. Study I compared the predictive accuracy of two methods using historical crime exposure and different crime-time-periods for violent and property crimes. Study II compared the predictive accuracy of prior crime, place attributes, ambient population, and community structural and social characteristics for various crime types. Study III examined the relationship between violent and property crime, as well as community structural and social characteristics, and different types of fear of crime.

The findings of the current dissertation suggest that, overall, a one-size-fits-all approach is not effective. Simpler methods are generally comparable to more complex ones in long-term crime forecasting at the micro-level. However, at the neighborhood level, social integration plays a significant role in determining levels of perceived safety and fear of crime.

Place, publisher, year, edition, pages
Örebro: Örebro University, 2023. p. 188
Series
Örebro Studies in Criminology ; 2
Keywords
Hotspot-Mapping, RTM, Micro-Place, Neighborhood, Prediction-Accuracy, Prediction-Efficiency, Violent-Crime, Property-Crime, Perceived-Unsafety, Fear of Crime, Avoidance
National Category
Law and Society
Identifiers
urn:nbn:se:oru:diva-109735 (URN)9789175295305 (ISBN)9789175295312 (ISBN)
Public defence
2023-12-15, Örebro universitet, Långhuset, Hörsal L2, Fakultetsgatan 1, Örebro, 13:15 (English)
Opponent
Supervisors
Available from: 2023-11-15 Created: 2023-11-15 Last updated: 2023-11-27Bibliographically approved

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Camacho Doyle, Maria

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