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Ning Ding, Yiming Zhai and Hongyu Lv
Tangible cultural heritage is vulnerable to various risks, particularly those stemming from criminal activity. Through analyzing the distribution and flow of crime risks from a spatial perspective based on quantitative methods, risks can be better manage...
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Dorra Mahouachi and Moulay A. Akhloufi
Besides the many advances made in the facial detection and recognition fields, face recognition applied to visual images (VIS-FR) has received increasing interest in recent years, especially in the field of communication, identity authentication, public ...
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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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Abiodun Kolawole Oyetunji, Chiemela Victor Amaechi, Emmanuel Chigozie Dike, Adeyosoye Babatunde Ayoola and Michael Ayodele Olukolajo
The ground can become saturated during prolonged downpours. If sewers and drains are unable to cope, overflows will be inevitable. This situation could affect properties that are not designed to cope with flood hazards. It is pertinent that property inve...
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Faria Ferooz, Malik Tahir Hassan, Sajid Mahmood, Hira Asim, Muhammad Idrees, Muhammad Assam, Abdullah Mohamed and El-Awady Attia
To reduce crime rates, there is a need to understand and analyse emerging patterns of criminal activities. This study examines the occurrence patterns of crimes using the crime dataset of Lahore, a metropolitan city in Pakistan. The main aim is to facili...
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Yuncheng Jiang, Baoyu Guo and Zhigang Yan
Lanzhou?s rapid development has raised new security challenges, and improving public safety in areas under the jurisdiction of police stations is an effective way to address the problem of public security in urban areas. Unfortunately, the existing studi...
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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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Rafael G. Ramos
Standardized crime rates (e.g., ?homicides per 100,000 people?) are commonly used in crime analysis as indicators of victimization risk but are prone to several issues that can lead to bias and error. In this study, a more robust approach (GWRisk) is pro...
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Li He, Antonio Páez, Jianmin Jiao, Ping An, Chuntian Lu, Wen Mao and Dongping Long
In the spatial analysis of crime, the residential population has been a conventional measure of the population at risk. Recent studies suggest that the ambient population is a useful alternative measure of the population at risk that can better capture t...
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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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