Editorial: crime patterns in time and space: the dynamics of crime opportunities in urban areas

Newton, Andrew D.; Felson, Marcus

doi:10.1186/s40163-015-0025-6

Cited by 48 publications

(48 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Based on the analysis, it is known that the historical crime accidents have correlation reach 0.947 which indicates very high trend of crime occurred in the same place. This further confirms that crime tends to be concentrated in certain places even near spaces with highly crime risk (Newton and Felson, 2015).…”

Section: Research Metodhssupporting

confidence: 71%

Application GIS to Analyse Crime Risk in Bandung

Dede

Setiawan

Mulyadi

2017

2nd International Conference on Sociology Education

View full text Add to dashboard Cite

Abstract:This study aims to determine various factors are affected crime occurrence and discover crime risk distribution in Bandung using geographic information system (GIS) technology. It is to achieve suitable action against crime for mutual security. As quantitative research, the correlation of each factor is obtained from statistical test, then a decile rule used to know the value distribution. Eastman equation require score and weight from the correlation coefficient and value distribution for overlay analysis using GIS software to result crime risk distribution in Bandung. Correlation test identified that historical crime accidents, public facilities, and residence domination are most influence crime occurs, because crime needs suitable condition like place, time, and target. The resulted map of crime risk distribution shows 39.02 and 16.69 percent or more than half area of Bandung has very high and high risk. Based on the analysis, crime risk area agglomerate in the western and central of city are known as central business district. In addition, the temporal pattern of crime risk increase at 18.00 to 24.00 pm who coverage almost three-fifths area of the city when citizen activity is highly.

show abstract

Section: Research Metodhssupporting

confidence: 71%

Application GIS to Analyse Crime Risk in Bandung

Dede

Setiawan

Mulyadi

2017

2nd International Conference on Sociology Education

View full text Add to dashboard Cite

show abstract

“…These studies have focused particularly on land uses, types of land use, and urban forms, such as the physical features of neighbourhoods [1], roads [2], and shopping centres and bus stations [3][4][5]. In this paper, we attempted to investigate the link between the extension area of urbanization and the potential for crime by analysing satellite images over time together with the number of crimes during the same timeframe using remote sensing techniques.…”

Section: Discussionmentioning

confidence: 99%

“…These studies have focused particularly on land uses, types of land use, and urban forms, such as the physical features of neighbourhoods [1], roads [2], shopping centres, and bus stations [3][4][5]. However, knowing the correlation between expansion of urban areas and crime is very important for criminologists and urban planning decision-makers.…”

Section: Introductionmentioning

confidence: 99%

A Method for Exploring the Link between Urban Area Expansion over Time and the Opportunity for Crime in Saudi Arabia

Algahtany

Kumar

2016

Remote Sensing

View full text Add to dashboard Cite

Abstract:Urban area expansion is one of the most critical types of worldwide change, and most urban areas are experiencing increased growth in population and infrastructure development. Urban change leads to many changes in the daily activities of people living within an affected area. Many studies have suggested that urbanization and crime are related. However, they focused particularly on land uses, types of land use, and urban forms, such as the physical features of neighbourhoods, roads, shopping centres, and bus stations. Understanding the correlation between urban area expansion and crime is very important for criminologists and urban planning decision-makers. In this study, we have used satellite images to measure urban expansion over a 10-year period and tested the correlations between these expansions and the number of criminal activities within these specific areas. The results show that there is a measurable relationship between urban expansion and criminal activities. Our findings support the crime opportunity theory as one possibility, which suggests that population density and crime are conceptually related. We found the correlations are stronger where there has been greater urban growth. Many other factors that may affect crime rate are not included in this paper, such as information on the spatial details of the population, city planning, economic considerations, the distance from the city centre, neighbourhood quality, and police numbers. However, this study will be of particular interest to those who aim to use remote sensing to study patterns of crime.

show abstract

“…Specifically, it has been widely shown that criminal activities often exhibit complex relationships both in space and time [25,33]. Against this background, hotspot maps are a popular tool for analyzing and visualizing the distribution of crimes across space and time [11], and are also practically used for crime prediction in order to optimize the deployment of the police and crime reduction resources.…”

Section: Related Workmentioning

confidence: 99%

CrimeTelescope: crime hotspot prediction based on urban and social media data fusion

et al. 2017

View full text Add to dashboard Cite

Crime is a complex social issue impacting a considerable number of individuals within a society. Preventing and reducing crime is a top priority in many countries. Given limited policing and crime reduction resources, it is often crucial to identify effective strategies to deploy the available resources. Towards this goal, crime hotspot prediction has previously been suggested. Crime hotspot prediction leverages past data in order to identify geographical areas susceptible of hosting crimes in the future. However, most of the existing techniques in crime hotspot prediction solely use historical crime records to identify crime hotspots, while ignoring the predictive power of other data such as urban or social media data. In this paper, we propose CrimeTelescope, a platform that predicts and visualizes crime hotspots based on a fusion of different data types. Our platform continuously collects crime data as well as urban and social media data on the Web. It then extracts key features from the collected data based on both statistical and linguistic analysis. Finally, it identifies crime hotspots by leveraging the extracted features, and offers visualizations of the hotspots on an interactive map. Based on real-world data collected from New York City, Published in "World Wide Web doi: 10.1007/s11280-017-0515-4, 2017" which should be cited to refer to this work.we show that combining different types of data can effectively improve the crime hotspot prediction accuracy (by up to 5.2%), compared to classical approaches based on historical crime records only. In addition, we demonstrate the usability of our platform through a System Usability Scale (SUS) survey on a full prototype of CrimeTelescope.

show abstract

Editorial: crime patterns in time and space: the dynamics of crime opportunities in urban areas

Cited by 48 publications

References 15 publications

Application GIS to Analyse Crime Risk in Bandung

Application GIS to Analyse Crime Risk in Bandung

A Method for Exploring the Link between Urban Area Expansion over Time and the Opportunity for Crime in Saudi Arabia

CrimeTelescope: crime hotspot prediction based on urban and social media data fusion

Contact Info

Product

Resources

About