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Alessandro Crivellari and Alina Ristea
The traditional categorization of crime types relies on a hierarchical structure, from high-level categories to lower-level subtypes. This tree-based classification treats crime types as mutually independent when they do not branch from the same higher-l...
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Tongxin Chen, Kate Bowers and Tao Cheng
This study aimed to evaluate the relationships between different groups of explanatory variables (i.e., dynamic human activity variables, static variables of social disorganisation and crime generators, and combinations of both sets of variables) and pro...
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Giedre Beconyte, Kostas Gru?as and Eduardas Spiriajevas
In all countries, cities and their suburbs are the most densely populated areas. They are also the places visited by the largest number of tourists and one-day visitors, who inevitably run the risk of becoming victims of crime. It is, therefore, importan...
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Arcadio A. Cerda,Leidy Y. García
After the impact of COVID-19 on tourism, several cities have been affected by an increase in criminality, primarily in large urban centers that receive a significant number of tourists. It's true that the COVID-19 pandemic has had a significant imp...
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Emmanuel January Munishi, Kirumirah Mubarack Hamidu
Pág. 246 - 254
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Natalia Sypion-Dutkowska, Minxuan Lan, Marek Dutkowski and Victoria Williams
The article aims to propose a new way of estimating the ambient and immobile urban population using geotagged tweets and age structure, and to test how they are related to urban crime patterns. Using geotagged tweets and age structure data in 37 neighbor...
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Miaomiao Hou, Xiaofeng Hu, Jitao Cai, Xinge Han and Shuaiqi Yuan
Crime issues have been attracting widespread attention from citizens and managers of cities due to their unexpected and massive consequences. As an effective technique to prevent and control urban crimes, the data-driven spatial?temporal crime prediction...
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Eunseo Kwon, Sungwon Jung and Jaewook Lee
Crime prediction research using AI has been actively conducted to predict potential crimes?generally, crime locations or time series flows. It is possible to predict these potential crimes in detail if crime characteristics, such as detailed techniques, ...
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Tugrul Cabir Hakyemez and Bertan Badur
Static indicators may fail to capture spatiotemporal differences in the spatial influence of urban features on different crime types. In this study, with a base station analogy, we introduced crime risk stations that conceptualize the spatial influence o...
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Alina Ristea and Michael Leitner
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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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Markus Rasmusson and Marco Helbich
Near-repeat crime refers to a pattern whereby one crime event is soon followed by a similar crime event at a nearby location. Existing research on near-repeat crime patterns is inconclusive about where near-repeat patterns emerge and which physical and s...
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Yicheng Tang, Xinyan Zhu, Wei Guo, Ling Wu and Yaxin Fan
As a major social issue during urban development, crime is closely related to socioeconomic, geographic, and environmental factors. Traditional crime prediction models reveal the spatiotemporal dynamics of crime risks, but usually ignore the environmenta...
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Mardelle Shepley, Naomi Sachs, Hessam Sadatsafavi, Christine Fournier and Kati Peditto
Can the presence of green space in urban environments reduce the frequency of violent crime? To ascertain the evidence on this topic, we conducted an in-depth literature review using the PRISMA checklist. The search parameters included US articles writte...
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Siti Rasidah bt Md Sakip,Mohd Najib Moihd Salleh
Pág. 189 - 199
Malaysia is one of the countries that is having rapid urbanization and the crime rates are getting worried by the Malaysian government. Thus, this paper objective is to identify the street pattern characteristics that influence the snatch the...
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Adam Dabrowski, Piotr Matczak, Andrzej Wójtowicz and Michael Leitner
Progress in surveillance technology has led to the development of Closed-Circuit Television (CCTV) systems in cities around the world. Cameras are considered instrumental in crime reduction, yet existing research does not unambiguously answer the questio...
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Natalia Sypion-Dutkowska and Michael Leitner
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Sofie Kirt Strandbygaard, Otto Anker Nielsen, Alan Keith Spence Jones, Bo Grönlund, Lotte Bjerregaard Jensen
Pág. 585 - 603
In pursuing fear-reduction strategies in public transport, the total experience of accessing rail stations should be taken into account. This article correlates passengers? fear of crime at train stations with neighborhood types and income data within th...
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Miguel Saraiva and Bárbara Teixeira
In post-pandemic, climate-changing societies, the presence of urban greenspace assumes paramount functions, at the same time that socio-economic crises and shocks augment vulnerabilities and insecurities. The recent literature on environmental criminolog...
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Chunxia Zhang, Lin Liu, Suhong Zhou, Jiaxin Feng, Jianguo Chen and Luzi Xiao
Fraud crime against seniors has become a serious social problem both at home and abroad. While most of the relevant research focuses on non-contact fraud against seniors, a few studies attend to contact fraud targeted at seniors. By constructing a theore...
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