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Rui Wang and Yijing Li
Given the paramount impacts of COVID-19 on people?s lives in the capital of the UK, London, it was foreseeable that the city?s crime patterns would have undergone significant transformations, especially during lockdown periods. This study aims to testify...
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Yingjie Du and Ning Ding
Crime is always one of the most important social problems, and it poses a great threat to public security and people. Accurate crime prediction can help the government, police, and citizens to carry out effective crime prevention measures. In this paper,...
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Nureni Ayofe Azeez and Emad Fadhal
Background: Internet social media platforms have become quite popular, enabling a wide range of online users to stay in touch with their friends and relatives wherever they are at any time. This has led to a significant increase in virtual crime from the...
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Linda Nubani and Jean Wineman
Purpose: Assessing a level of surveillability, supervision, and expected guardianship in residential neighborhoods has been a topic of interest since the early work of Jacobs? ?eyes on the street?, and Newman?s ?defensible space?. This paper reports on t...
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Chaitanya Joshi, Sophie Curtis-Ham, Clayton D?Ath and Deane Searle
A literature review of the important trends in predictive crime modeling and the existing measures of accuracy was undertaken. It highlighted the need for a robust, comprehensive and independent evaluation and the need to include complementary measures f...
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Anneleen Rummens, Thom Snaphaan, Nico Van de Weghe, Dirk Van den Poel, Lieven J. R. Pauwels and Wim Hardyns
This article assesses whether ambient population is a more suitable population-at-risk measure for crime types with mobile targets than residential population for the purpose of intelligence-led policing applications. Specifically, the potential use of a...
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Pawel Cichosz
Geographical information systems have found successful applications to prediction and decision-making in several areas of vital importance to contemporary society. This article demonstrates how they can be combined with machine learning algorithms to cre...
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Yasmine Lamari, Bartol Freskura, Anass Abdessamad, Sarah Eichberg and Simon de Bonviller
While the use of crime data has been widely advocated in the literature, its availability is often limited to large urban cities and isolated databases that tend not to allow for spatial comparisons. This paper presents an efficient machine learning fram...
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Georgios N. Kouziokas
Pág. 467 - 473
Public administration has adopted information and communication technology in order to construct new intelligent systems and design new risk prevention strategies in transportation management. The ultimate goal is to improve the quality of the transporta...
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