A comprehensive review of quantitative research on crime, the built environment, land use, and physical geography

Inlow, Alana R.

doi:10.1111/soc4.12889

Cited by 9 publications

(4 citation statements)

References 116 publications

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“…Interestingly, the way this set of factors influences crime in the neighbourhood of train stations turned out to be largely different in another study (Liggett et al, 2001). A remarkable, complex review of current studies on the influence of the built environment, land use and environmental crime predictors on crime was made by A. R. Inlow (2021). She concluded that areas with lower crime rates are characterised by mixed-use areas and clear urban layout on a macro scale, while on a local scale the issues of lighting, building conditions, servicing and maintenance of green areas are of utmost importance.…”

Section: Literature Reviewmentioning

confidence: 99%

Public transport stops and crime within the city space. The case of Stare Bałuty in Łódź

Mordwa

2022

Prace Komisji Geografii Komunikacji PTG

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The goals of the study presented in the article draw attention to the role of public transport stops in the spatial distribution of crime in the Stare Bałuty estate in Łódź, Poland. Answers are provided to the questions of spatio-temporal structure of criminal acts committed within the estate, the influence zone of transport stops as well as the assessment and effects of environmental crime predictors in their vicinity. Crime location quotient (LQC) was used to assess the intensity of crime and identify the influence zone that attracts certain categories of crimes to the vicinity of stops. The influence of environmental predictors on the level of threat was identified and assessed on the basis of B. Czarnecki’s method. The variables used in the analysis initially spanned 739 crimes and 53 public transport stops evaluated with regard to 20 safety aspects and their impact on the pro-crime effects on the scale of location as well as various forms and functions of urban development. A strong negative influence of public transport stops ‒ attracting various categories of crime, mostly property theft ‒ was discovered. The negative influence of stops on the concentration of crime within 200 metres is reinforced by the existence of environmental crime predictors. The recommendations and discussions resulting from the findings should influence the policy of crime prevention on the level of object location, management and the maintenance of socio-spatial order in the vicinity.

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Section: Literature Reviewmentioning

confidence: 99%

Public transport stops and crime within the city space. The case of Stare Bałuty in Łódź

Mordwa

2022

Prace Komisji Geografii Komunikacji PTG

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“…The data contain a wealth of information on the spatial and temporal dynamics of crime and offer researchers the possibility to study the relationship between crime and demographics [40], housing, income, unemployment [41], education [42], economy [43], weather, climate [44], environment [45], social media [46], etc. For example, the literature studied the relationship between crime distribution and the land use data related to Szczecin, Poland [47].…”

Section: Temporal Crime Prediction Based On Crime and External Datamentioning

confidence: 99%

A Systematic Review of Multi-Scale Spatio-Temporal Crime Prediction Methods

Ding

2023

IJGI

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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, the research on crime prediction is systematically reviewed from a variety of temporal and spatial perspectives. We describe the current state of crime prediction research from four perspectives (prediction content, crime types, methods, and evaluation) and focus on the prediction methods. According to various temporal and spatial scales, temporal crime prediction is divided into short-term prediction, medium-term prediction, and long-term prediction, and spatial crime prediction is divided into micro-, meso-, and macro-level prediction. Spatio-temporal crime prediction classification can be a permutation of temporal and spatial crime prediction classifications. A variety of crime prediction methods and evaluation metrics are also summarized, and different prediction methods and models are compared and evaluated. After sorting out the literature, it was found that there are still many limitations in the current research: (i) data sparsity is difficult to deal with effectively; (ii) the practicality, interpretability, and transparency of predictive models are insufficient; (iii) the evaluation system is relatively simple; and (iv) the research on decision-making application is lacking. In this regard, the following suggestions are proposed to solve the above problems: (i) the use of transformer learning technology to deal with sparse data; (ii) the introduction of model interpretation methods, such as Shapley additive explanations (SHAPs), to improve the interpretability of the models; (iii) the establishment of a set of standard evaluation systems for crime prediction at different scales to standardize data use and evaluation metrics; and (iv) the integration of reinforcement learning to achieve more accurate prediction while promoting the transformation of the application results.

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“…To improve the efficacy of preventing violent crime, this study used the police station border as the unit of analysis. This enables the police to focus more effectively on crime prevention analysis in small regions rather than vast areas, which is made possible by the deployment of smaller units [19] [20] and [21]. The issue of this study is the absence of comprehensive understanding indicates that, despite significant advancements in study that link between crime and the built environment, much still needs to be learned and investigated.…”

Section: Introductionmentioning

confidence: 99%

“…The issue of this study is the absence of comprehensive understanding indicates that, despite significant advancements in study that link between crime and the built environment, much still needs to be learned and investigated. Further research is necessary because of the complicated nature of this link, which is influenced by several variables, including the city context, the type of crime, and socioeconomic situations [20]. The rationale for selecting Selangor, KLFT & PFT as the study area lies in their dense population, significant economic roles, diverse cultural landscape, well-developed infrastructure and urban planning, and the potential implications of research findings for policymaking.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Movement Distribution Pattern of Violent Crime in Malaysia's Capital Region-Selangor, Kuala Lumpur, and Putrajaya

2024

IJG

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Previous studies of violent crime have been focused on identifying hot spots areas, ignoring crime movement and distribution, particularly violent-related land use on four different time frames. Studies showed that they have used police station boundaries or sectors to detect crime hotspots without considering land use type and the distribution and movement of crime. Understanding the relationship between violent crime and land use allows stakeholders to make informed decisions about land use, urban planning, and community development projects that can help reduce crime and improve overall community safety and quality of life. The aims of this study to investigate the relationship between violent crimes, time and land use in Selangor State, Kuala Lumpur Federal Territory (KLFT) and Putrajaya Federal Territory (PFT) from 2015 to 2020 using Mean Center and Standard Deviational Ellipses (SDE). These methodologies can assist authorities such as the Royal MalaysiaPolice (RMP) and Local Authority (LA) to identify potential variables leading to the high prevalence of violent crime in specific locations, which can then be used by police and local authorities to collaborate, establish crime prevention initiatives, and more effectively allocate resources. This study considers four-time frames,

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A comprehensive review of quantitative research on crime, the built environment, land use, and physical geography

Cited by 9 publications

References 116 publications

Public transport stops and crime within the city space. The case of Stare Bałuty in Łódź

Public transport stops and crime within the city space. The case of Stare Bałuty in Łódź

A Systematic Review of Multi-Scale Spatio-Temporal Crime Prediction Methods

Analysis of the Movement Distribution Pattern of Violent Crime in Malaysia's Capital Region-Selangor, Kuala Lumpur, and Putrajaya

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