Aims and method:
Seeks to understand how different environmental attributes in the vicinity of a bus stop can affect the incidence of crime. Uses a stratified random sample of sixty bus stops in downtown Los Angeles to examine the effects of environmental and land-use attributes on crime rates. Using descriptive statistics, correlations, regression and discriminant analyses, and matched-pair analysis, we find some relations between the existence or absence of certain environmental attributes and the incidence of crime.
Key findings:
· Crime rates were higher for bus stops near alleys, multifamily housing, liquor stores and cheque-cashing establishments, vacant buildings, and graffiti and litter.
· The presence or absence of certain characteristics in the bus stop microenvironment can affect crime: good visibility of the bus stop from its surroundings and the existence of bus shelters contributed to lower crime rates.
· Higher crime rates were noted at intersections with on-street parking, and higher rates of vehicle traffic were associated with lower crime rates.
Reference:
Loukaitou-Sideris, A., Liggett, R., Iseki, H., & Thurlow, W. (2001). Measuring the effects of built environment on bus stop crime. Environment and Planning B: Planning and Design, 28(2), 255-280.
Aims and method:
Seeks to understand the connection between criminal activity at bus stops and environmental factors. The study used direct observation, mapping, interviews, and surveys to examine the physical and social environment around the 10 most crime-ridden bus stops in Los Angeles during 1994 and 1995.
Key findings:
· Different types of crime tend to occur under different environmental conditions, for example public nuisance crimes are common at high-traffic bus stops because criminals could hide their illegal activities behind the crowds.
· High-crime bus stops situated in commercial areas at the intersections of multilane streets are typically not visible from the surrounding shops, lack adequate lighting and public phones, and are not near any police stations. Empty sites and vacant, semi-vacant, and dilapidated buildings neighbour many, as do drinking establishments.
· The coexistence and combination of negative environmental attributes and a general lack of defensible space aggravates the incidence of crime: bad neighbours, desolation and lack of surveillance, crowding (crimes like purse snatching happens more in the crowd), broken windows (being situated in vacant area), and easy escapes.
Reference:
Loukaitou-Sideris, A. (1999). Hot spots of bus stop crime: The importance of environmental attributes. Journal of the American Planning association, 65(4), 395-411.
http://www.tandfonline.com/doi/abs/10.1080/01944369908976070
Aims and method:
Examines the relationship between levels of crime and fear of crime and the physical built environment. The study utilised a variety of methods to study the relationships in Columbus, Ohio (USA) including user self-assessments, survey interviews on-site and as a reaction to a plan, interviews with police officers, and analysis of crime statistics.
Key findings:
· Crime and fear of crime concentrate in 'hot spots'
· Micro-level (neighbourhood) hot spots of fear relate to proximate (local) physical features.
· A variety of measures of fear show an increase in fear related to concealment for offenders, and blocked prospect and escape for victims.
· Fears in relation to these features may be reflected on campuses and public spaces, where policy calls for trimmed vegetation, lighting of dark pathways, and lighting and cameras in parking lots
· Increases in prospect, and decreases in concealment and boundedness may enhance feeling of safety and
Reference:
Nasar, J., & Fisher, B. (1993). ‘Hot spots’ of fear and crime: A multi-method investigation. Journal of Environmental Psychology, 65, 187-206.
Aims and method:
Investigates the relationship between neighbourhood conditions and residents' expressed perceptions of safety. Utilises subjective and objective measures of local conditions in an assessment of safety via a sample of 305 interviews in Louisville, Kentucky (USA). Housing conditions were assessed using a standardised rating system.
Key findings:
· Housing and neighbourhood quality had an impact on satisfaction with the local physical environment and perceptions of safety.
· Housing quality also had an impact on perceptions of personal safety.
· Deteriorated neighbourhood conditions increased concerns of safety, but they also decreased levels of satisfaction with the neighbourhood physical environment, which raised further concerns about safety issues.
Reference:
Austin, D. M., Furr, L. A., & Spine, M. (2002). The effects of neighborhood conditions on perceptions of safety. Journal of criminal justice, 30(5), 417-427.
http://www.sciencedirect.com.libproxy.ucl.ac.uk/science/article/pii/S0047235202001484
Aims and method:
The aim of this research is to determine the effectiveness of the Crime Prevention Through Environmental Design (CPTED) approach in reducing robberies. In 28 studies of post CPTED effectiveness, the percentage change in pre- and post-intervention crime was examined.
Key findings:
· All primary multiple-component CPTED programmes experienced a percentage change in robberies ranging from −84% to −30%.
· Single-component programme effects ranged from −83% to -2.4 (with one outlier at +91%)
· The broad nature of the CPTED approach allows its adaptation to any setting, and results indicate that it is an effective approach to reducing robbery
Reference:
Casteel, C., & Peek-Asa, C. (2000). Effectiveness of crime prevention through environmental design (CPTED) in reducing robberies. American journal of preventive medicine, 18(4), 99-115.
Aims and method:
This article presents the findings of research conducted over a 10-year period (1999–2009) into the effectiveness of the UK’s Secure by Design (SBD) scheme as a crime reduction measure. The scheme sets standards for compliance that developments must meet to be awarded SBD status, including aspects of target hardening, surveillance, territoriality, and management. The research utilised a variety of different methods and data sets including police-recorded crime, self reported crime (through a residents’ survey) and visual audits (as assessed by the authors) on 16 paired schemes (SBD and non-SBD) in West Yorkshire.
Key findings:
· The difference between burglary rates within the SBD and non-SBD samples were statistically significant. A rate of 262.7 crimes per 1000 households within the non-SBD sample and 118.8 crimes per 1000 households within the SBD sample was recorded.
Reference:
Armitage, R., & Monchuk, L. (2011). Sustaining the crime reduction impact of designing out crime: Re-evaluating the Secured by Design scheme 10 years on. Security Journal, 24(4), 320-343.
Aims and method:
Examines the effects of changes in neighbourhood environment due to Crime Prevention Through Environmental Design (CPTED) strategies on residents’ social activities and sense of community utilising a case study of the Cheonan Safe Village Project in Korea. The study conducted an observational survey and questionnaire survey in order to collect data, and a total of 314 residents’ social activities were observed and 502 surveys were analysed.
Key findings:
· Social activities increased by 30.5% immediately after project completion, and by 90.4% one year after completing the project.
· Greetings and conversations between neighbours and children’s play activities showed a sustained increase around the areas where the physical environment changed
· Reduction in neighbourhood disorder and fear of crime and increased participation in neighbourhood activities were significantly correlated with a stronger sense of community amongst residents.
Reference:
Seo, S.Y. & Lee, K.H. (2017). Effects of changes in neighbourhood environment due to the CPTED project on residents’ social activities and sense of community: a case study on the Cheonan Safe Village Project in Korea. International Journal of Urban Sciences, 21 (3), 326-343
http://www.tandfonline.com/doi/full/10.1080/12265934.2017.1298462
Aims and method:
Assesses the effect of improved street lighting on crime. Victimisation surveys are carefully matched with experimental and control areas in two adjacent public housing estates in Dudley (UK).
Key findings:
· For all crime in the experimental area, the crime prevalence (total number of victimisations) decreased by 23% after the improved street lighting was installed compared to the 12 months prior to the installation of the lights.
· The changes in the experimental area were significantly greater than the changes in the control area for burglary, personal crime, and all crime.
Reference:
Painter, K., & Farrington, D. P. (1997). The crime reducing effect of improved street lighting: The Dudley project. Situational crime prevention: Successful case studies, 2, 209-226.
https://www.ncjrs.gov/App/Publications/abstract.aspx?ID=259348
Aims and method:
Assesses the effect of improved street lighting on crime. In Dudley and Stoke (UK), victimisation surveys were carried out before and after improved lighting in experimental and control areas.
Key findings:
· In both cities, the prevalence and incidence of crime decreased after the improved lighting in the experimental area compared with the control area.
· There was also a decrease in crime in the adjacent area in Stoke, suggesting diffusion of benefits from the experimental area.
· Cost-benefit analyses showed that the tangible savings from crimes that had been prevented more than paid off the full capital costs of the improved lighting within one year.
Reference:
Painter, K., & Farrington, D. P. (1999). Improved street lighting: crime reducing effects and cost-benefit analyses. Security Journal, 12(4), 17-32.
https://link.springer.com/article/10.1057/palgrave.sj.8340037
Aims and method:
This report tests two theories of why improved street lighting may cause a reduction in crime. The first suggests that improved lighting leads to increased surveillance of potential offenders and hence to increased deterrence leading to a reduction in crime at night. The second suggests that improved lighting signals community investment in the area and that the area is improving leading to a general reduction in crime.
Key findings:
· Improved street lighting significantly reduces crime.
· Night-time and day time crimes both decrease so community community pride and informal social control rather than increased surveillance seems to be key.
Reference:
Welsh, B. C., & Farrington, D. P. (2008). Effects of improved street lighting on crime. Campbell Systematic Reviews, 13, 1-51.
http://www.crim.cam.ac.uk/people/academic_research/david_farrington/light.pdf
Aims and method:
A systematic meta-analysis of the effects of improved outdoor lighting. Studies were included in this systematic review if improved lighting was the main intervention, if there was an outcome measure of crime, if there was at least one experimental area and one comparable control area, if there were before and after measures of crime, and if the total number of crimes in each area before the intervention was at least 20. Thirteen studies from the US and UK met the inclusion criteria.
Key findings:
· Results were mixed for the eight American evaluation studies. Four studies found that improved street lighting was effective in reducing crime, while the other four found no effect.
· Five more recent British studies showed that improved lighting led to a significant 29% decrease in crime in experimental areas compared with comparable control areas.
· Taken together, the 13 studies revealed a significant 21% decrease in crime in experimental areas compared with comparable control areas.
· Better street lighting leads to an increase in perceived public safety and is associated with greater use of public space and neighbourhood streets by law-abiding citizens.
Reference:
Farrington, D. P., & Welsh, B. C. (2007). Improved street lighting and crime prevention: A systematic review. Stockholm, Sweden: National Council for Crime Prevention.
https://www.ncjrs.gov/App/abstractdb/AbstractDBDetails.aspx?id=247789
Aims and method:
Examines the relationship between vegetation and crime in an inner-city neighbourhood. This study compared police crime reports for 98 apartment buildings with varying levels of nearby vegetation in Chicago (USA).
Key findings:
· The greener a building’s surroundings are the fewer total crimes.
· This relationship extends to both property crimes and violent crimes.
· Levels of nearby vegetation explained 7 to 8% of the variance in the number of crimes reported per building and the link between vegetation and crime could not be accounted for by either of the two confounding variables identified.
· Vegetation contributed significant additional predictive power above and beyond four other classic environmental predictors of crime, most likely because it suggests greater territoriality and eyes on the street.
Reference:
Kuo, F. E., & Sullivan, W. C. (2001). Environment and crime in the inner city: Does vegetation reduce crime?. Environment and behavior, 33(3), 343-367.
http://journals.sagepub.com/doi/abs/10.1177/0013916501333002
Aims and method:
Conducted to determine the attributes which evoke fear of crime and defensive behaviours within urban park users. Based on qualitative studies undertaken in the city of Kuala Lumpur (Malaysia) among park and non-park users by means of semi-structured in-depth interviews. The interviews covered respondents with various age, gender and race profiles.
Key findings:
· Reflected universal similarities between cultures with regard to a fear of crime in urban green spaces
· Seven attributes were revealed which evoked fear among residents: concealment (vegetation), being alone, signs of physical disorder, presence of social incivilities, familiarity, prior information about crime, and previous crime experience.
· The study also uncovered the presence of defensive behaviours towards crime in urban parks, particularly among the women.
Reference:
Maruthaveeran, S. & Konijnendijk van den Bosh, C. (2015). Fear of crime in urban parks – What the residents of Kuala Lumpur have to say?. Urban Forestry & Urban Greening, 14, 702-713.
Aims and method:
Examines the relationship of the built environment to crime and the fear of crime in urban neighbourhoods, controlling for other relevant demographic and social variables. This research was carried out in 44 urban residential neighbourhoods in Lansing, Michigan (USA). With a population of about 130,000, Lansing faces similar rates and types of crime as many other small or medium-sized cities in the mid-western United States
Key findings:
· The physical characteristics of urban blocks and the residences are more important than the demographic characteristics of the people living on the block in predicting levels of crime and fear of crime.
· The presence of a nearby convenience or grocery store, despite the additional street level vitality, was related both to actual crime and fear of crime as they attract persons who are more likely to commit crimes.
· The presence of porches and shared driveways, despite the theoretical opportunities for increased surveillance and interaction among neighbours, most successfully predicted higher crime, and, in the case of shared driveways, greater fear of crime.
· Crime at the block level is best predicted by these elements of the built environment. Fear of crime is most strongly related to a lack of community.
Reference:
Schweitzer, J. H., Kim, J. W., & Mackin, J. R. (1999). The impact of the built environment on crime and fear of crime in urban neighborhoods. Journal of urban technology, 6(3), 59-73.
Aims and method:
Explores the relationship between neighbourhood design and residents’ fear of crime in new suburban housing developments. A neighbourhood form index based on the planning and
land-use characteristics that draw people into public space, facilitate pedestrian movement and ensure the presence of ‘territorial guardians’ was developed for each participant (n=1059) from objective environmental data. Self-report and objective data were collected from participants.
Key findings:
· With each additional index attribute, the odds of being fearful reduced (trend test pvalue=0.001), and this persisted even after progressive adjustment for demographics, victimisation, collective efficacy and perceived problems.
· The findings lend support to the notion that a more walkable neighbourhood is also a place where residents feel safer.
Reference:
Foster, S., Giles-Corti, B., & Knuiman, M. (2010). Neighbourhood design and fear of crime: a social-ecological examination of the correlates of residents’ fear in new suburban housing developments. Health & place, 16(6), 1156-1165.
http://www.sciencedirect.com/science/article/pii/S1353829210001097
Aims and method:
Examined the individual, behavioural, social and built environment correlates of body mass index (BMI). Using data from 2003 to 2005 relating to 1,151 participants in, Perth, Western Australia, linear regression was used to construct multivariate models to examine the variance in BMI explained by significant socio-demographic, environmental and health behaviour variables. Both self-reported and GIS-derived measures of the built environment were examined.
Key findings:
· Overall, 3.3% of the variance in BMI was explained by socio-demographic factors, a further 2.7% by health behaviours and a further 1.5% by perceived environment factors.
· Greater perceived safety from crime was associated with lower BMI, and this association persisted after controlling for socio-demographic factors and obesity-related health behaviours.
Reference:
Christian, H., Giles-Corti, B., Knuiman, M., Timperio, A., & Foster, S. (2011). The influence of the built environment, social environment and health behaviors on body mass index. results from RESIDE. Preventive medicine, 53(1), 57-60.
http://www.sciencedirect.com/science/article/pii/S0091743511001757
Aims and method:
Explores desired value in social housing in the city of Campinas, Brazil. End-users of four multi-family social housing projects were asked to identify aspects of housing design, which are most valued. The research method utilised the stated preferences of approximately 200 respondents. Data was statistically analysed and a general importance index was created for each of the value attributes.
Key findings:
· Residents of typical social housing projects value their security most, followed by access to nature, reduction in utility bills and acoustic privacy.
· Based on previous post occupancy evaluation studies the question of security refers to issues of security in the surrounding urban context, rather than in the home.
Reference:
Kowaltowski, D. C., & Granja, A. D. (2011). The concept of desired value as a stimulus for change in social housing in Brazil. Habitat international, 35(3), 435-446.
http://www.sciencedirect.com/science/article/pii/S0197397510000858
Aims and method:
Neighborhood and urban conditions have long been shown to have a strong impact on residents’ feelings of safety and fear or crime. Researchers, however, have not tested the relationship between neighborhood conditions and perception of safety among refugees groups. Comparisons between a general sample of Louisville residents and refugees from the former Soviet Union were unertaken to help fill this gap.
Key findings:
Refugees were less satisfied with their neighborhoods than the general sample, yet had significantly higher levels of perception of safety.
These findings are contrary of previous research that has shown that less satisfaction is associated with lower perception of safety and are explained in terms of the contextual shifts in the management of risk.
The relative and subjective meanings of social change may be of greater importance in understanding refugees’ perception of safety than relationships to immediate neighborhood settings.
Reference:
Furr LA, Austin DM, Cribbs S, & Smoger S. (2005). The effects of neighborhood satisfaction on perception of safety among refugees from the former Soviet Union. Sociological Spectrum, 25(5): 519-537.
https://www.tandfonline.com/doi/abs/10.1080/02732170500175957
Aims and method:
The study focused on environmental situations of temporal and spatial influence on snatch thefts that occurred over a six-year period in a city in Taiwan. Space Syntax methods were adapted to produce an effective pedestrian predicting model to tease out the projected number of potential victims on each street segment.
Key findings:
Areas near intersections in boundary less busy segments of commercial main streets, entry segments of both commercial secondary streets and residential main streets with higher pedestrian flows are particularly vulnerable to snatch crime during night
These vulnerable areas perform worse when they exhibit a lack of inter-visibility.
Snatch crime tends to occur in areas with poor inter-visibility and in between those two extremes of pedestrian flow from medium low busy commercial streets to residential entry streets where there are higher numbers of targets with little overlooking in the area.
Reference:
Chih-Feng Shu S. & Huang ND. (2018). Vulnerability of Snatch Thefts and Environmental Situations - Case Studies on a City in Taiwan. Architecture Science. 17: 31-58
Burglars’ Take on Crime Prevention through Environmental Design
Aims and method:
Crime Prevention through Environmental Design (CPTED) represents a multi-faceted approach to crime reduction that draws upon theories from urban design, psychology and criminology. Conscious that these principles have primarily been defined by academics and policy-makers, this research aims to rectify this imbalance. A sample of twenty-two incarcerated prolific burglars from three prisons (England), were asked to describe their response to sixteen images of residential housing. .
Key findings:
The design of residential housing influences burglar decision making.
Principles of CPTED should be re-examined, with surveillance, and physical security a clear deterrent
Management and maintenance and defensible space seem to be less important in offender decision making.
Reference:
Armitage, R. (2018) Burglars’ Take on Crime Prevention through Environmental Design. Security Journal. Security Journal,31(1),285-304
Armitage, R. and Monchuk, L. (2018) What is CPTED? Reconnecting Theory with Application in the Words of Users and abusers. Policing: A Journal of Policy and Practice
https://academic.oup.com/policing/advance-article-abstract/doi/10.1093/police/pax004/3067250?redirectedFrom=fulltext
Burglars’ Take on Crime Prevention through Environmental Design
Aims and method:
Crime Prevention through Environmental Design (CPTED) represents a multi-faceted approach to crime reduction that draws upon theories from urban design, psychology and criminology. Conscious that these principles have primarily been defined by academics and policy-makers, this research aims to rectify this imbalance. A sample of twenty-two incarcerated prolific burglars from three prisons (England), were asked to describe their response to sixteen images of residential housing. .
Key findings:
The design of residential housing influences burglar decision making.
Principles of CPTED should be re-examined, with surveillance, and physical security a clear deterrent
Management and maintenance and defensible space seem to be less important in offender decision making.
Reference:
Armitage, R. (2018) Burglars’ Take on Crime Prevention through Environmental Design. Security Journal. Security Journal,31(1),285-304
Armitage, R. and Monchuk, L. (2018) What is CPTED? Reconnecting Theory with Application in the Words of Users and abusers. Policing: A Journal of Policy and Practice
https://academic.oup.com/policing/advance-article-abstract/doi/10.1093/police/pax004/3067250?redirectedFrom=fulltext
Aims and method:
This study computed eight streetscape indexes using Google Street View images. The association between the eight indexes and recorded crime events was analysed with a Poisson regression model and a geographically weighted Poisson regression model. An experiment was conducted in downtown and uptown Manhattan, New York.
Key findings:
· Global regression results show that the influence of factors reflected by the Motorization Index (reflecting the characteristics of roads and traffic) on crimes are significant and positive, while the effects of the Light View Index and Green View Index on crimes depend heavily on socioeconomic factors.
· From a local perspective, the Pedestrian Space Index (reflecting pedestrian density), Green View Index, Light View Index and Motorization Index all have a significant spatial influence on crimes, while the same visual streetscape factors having different effects on different streets due to the combination differences of socioeconomic, cultural and streetscape elements.
Reference:
Deng, M., Yang, W., Chen, C., & Liu, C. (2022). Exploring associations between streetscape factors and crime behaviors using Google Street View images. Frontiers of Computer Science, 16(4), Article 164316.
Aims and method:
This paper reviewed literature on crime prevention through street environmental design on three spatial levels – street networks, paths, and nodes.
Key findings:
· Many street environmental factors influence criminal behaviour, which can be divided into three levels: street networks, paths, and nodes.
· Street networks studies focus on geometric (e.g., density, length, environment) and topological (e.g., permeability, accessibility, connectivity) characteristics, with geometric factors showing clearer crime impacts, while topological findings remain inconsistent due to complex spatial interactions.
· Crime occurrence is influenced by street activity levels, visibility, and lighting – moderate flow, transparent interfaces, and good lighting enhance natural surveillance and reduce crime risk.
· Land use and layout affect crime; high-traffic facilities can attract crime, while well-planned and mixed-use layouts lower it – though ‘reasonable’ levels and specific impacts vary by urban context and conditions.
Reference:
Mao, Y., Yin, L., Zeng, M., Ding, J., & Song, Y. (2021). Review of Empirical Studies on Relationship between Street Environment and Crime. Journal of Planning Literature, 36(2), 187–202.
Aims and method:
This study combined Baidu Street View (BSV) images, deep learning algorithms, and spatial statistical regression models to examine the influences of people on the street and in the streetscape physical environment on street crime in a large Chinese city.
Key findings:
· The number of people on the street had significant positive impacts on the total street crime and street property crime. However, no statistically significant impact was found on street violent crime.
· Higher average proportions of the paths, buildings, and trees in street view images were associated with significantly lower street crime.
· The average proportion of roads and traffic lights had the opposite impact, although it was not statistically significant.
Reference:
Yue, H., Xie, H., Liu, L., & Chen, J. (2022). Detecting People on the Street and the Streetscape Physical Environment from Baidu Street View Images and Their Effects on Community-Level Street Crime in a Chinese City. ISPRS International Journal of Geo-Information, 11(3), 151.
Aims and method:
The study characterised urban environments with the help of a deep learning model and street view images. By combining built environment variables with socioeconomic variables, it constructed a zero-inflated negative binomial regression model to quantify both single-factor effects and the interaction effects among pairwise variables on street crime instances in space.
Key findings:
· Improving visibility, clarifying pathways, planting vegetation, and adapting interventions locally can create safer urban environments through both environmental design and optimised policing.
· The discovered interaction effects and seasonal variations in regression relationships yield the most comprehensive and reasonable explanations for the spatial distributions of street crime instances.
Reference:
Luo, L., Deng, M., Shi, Y., Gao, S., & Liu, B. (2022). Associating street crime incidences with geographical environment in space using a zero-inflated negative binomial regression model. Cities, 129, Article 103834.
Aims and method:
In this study, a multiscale analysis was used to quantitatively study the influence of the street built environment on crime occurrence using street-view images.
Key findings:
· Visibility and surveillance from windows, lighting, and open fences are consistent deterrents to crime.
· Context matters – the same design feature (e.g., lighting, walls, greenness) can have opposite effects in different socioeconomic or physical environments.
· Prioritise mixed-use, well-observed, and transparent streetscapes to support natural surveillance at all times.
Reference:
HE, Z., Wang, Z., Xie, Z., Wu, L., & Chen, Z. (2022). Multiscale analysis of the influence of street built environment on crime occurrence using street-view images. Computers, Environment and Urban Systems, 97, Article 101865.
Aims and method:
The study simultaneously examined the effects of three different characteristics of the built environment based on the theoretical conceptualisations of density, diversity, and design (3D), utilising data from 211,155 street segments in the Southern California metropolitan region across 130 cities.
Key findings:
· Higher levels of business density are consistently associated with higher levels of crime.
· The diversity is associated with moderately higher levels of crime.
· The design measure consistently exhibited a crime-reducing effect.
Reference:
Kim, Y.-A., & Hipp, J. R. (2021). Density, diversity, and design: Three measures of the built environment and the spatial patterns of crime in street segments. Journal of Criminal Justice, 77, Article 101864.
Aims and method:
The study focused on environmental factors impacting on a range of streets. Using statistical analysis, environmental data was collected through field surveys and used to analyse the street theft robbery rates.
Key findings:
· Design active but balanced streets: Encourage storefronts and mixed uses (shops, parks, plazas, small walls) while spreading out high-risk facilities like banks or ATMs to avoid crime hotspots.
· Use clear, organised vegetation: Plant connected tree pits and flower beds that define movement lanes and keep sightlines open for natural surveillance.
· Integrate mixed, visible street elements: Combine commercial, recreational, and boundary features to create lively, well-observed streets that deter crime.
Reference:
Zeng, M., Mao, Y., & Wang, C. (2021). The relationship between street environment and street crime: A case study of Pudong New Area, Shanghai, China. Cities, 112, Article 103143.
Aims and method:
The study applied an integrative deep learning algorithm combining an object detection network and a semantic segmentation network to extract on-street people and physical environment elements from fine-grained street view images (SVIs) in a large Chinese city. The extracted elements include fences, walls, windows, grass, sidewalk, and plants. A discrete spatial choice model was constructed to investigate the influence of people on the street and the streetscape's physical environments on the location choice of street theft crime offenders.
Key findings:
· The streetscape context is critical to where offenders choose to commit crimes.
· Offenders have a preference for higher numbers of people on streets.
· Fences and high plants attract criminals while low grasses and clear sight lines negatively affect offenders' locational choices.
· The percentage of window to wall did not significantly affect criminals' crime location choices.
Reference:
Yue, H., Liu, L., & Xiao, L. (2023). Investigating the effect of people on the street and streetscape physical environment on the location choice of street theft crime offenders using street view images and a discrete spatial choice model. Applied Geography (Sevenoaks), 157, Article 103025.
Aims and method:
The paper reported the first experimental evidence on the effect of street lighting on crime. Through a public partnership in New York City, temporary street lights were randomly allocated to 40 of the city’s public space housing developments.
Key findings:
· Communities that were allocated more lighting experienced sizable reductions in nighttime outdoor index crimes.
· A large decline in arrests can be observed indicating that deterrence is the most likely mechanism through which the intervention reduced crime.
Reference:
Chalfin, A., Hansen, B., Lerner, J., & Parker, L. (2022). Reducing Crime Through Environmental Design: Evidence from a Randomized Experiment of Street Lighting in New York City. Journal of Quantitative Criminology, 38(1), 127–157.
Aims and method:
This study adopts a strategy that first scrapes images from Google Street View every 20 meters in every street segment in the city of Santa Ana, CA, and then uses machine learning to detect features of the environment. Eleven different features across four main dimensions were captured, and demonstrate that their relative presence across street segments considerably increases the explanatory power of models of crimes.
Key findings:
· The presence of more persons in the environment is associated with higher levels of crime.
· The auto-oriented measures – vehicles and pavement – were positively associated with crime rates.
· The presence of walls has a slowing negative relationship with most crime types whereas fences did not.
· Although terrain was positively associated with crime rates, vegetation exhibited an inverted-U relationship with aggravated assaults and motor vehicle thefts.
Reference:
Hipp, J. R., Lee, S., Ki, D., & Kim, J. H. (2022). Measuring the Built Environment with Google Street View and Machine Learning: Consequences for Crime on Street Segments. Journal of Quantitative Criminology, 38(3), 537–565.
Aims and method:
The study examined the longitudinal effects over a 30-year period of average city greenness on homicide rates across 290 major cities in the US, using multilevel linear growth curve modelling.
Key findings:
· Overall, homicide rates in US cities decreased over this time-period while the average greenness increased slightly.
· Change in average city greenness was negatively associated with homicide, controlling for a range of variables.
· Efforts to increase urban greenness may have small but significant violence-reduction benefits.
Reference:
Sanciangco, J. C., Breetzke, G. D., Lin, Z., Wang, Y., Clevenger, K. A., & Pearson, A. L. (2021). The Relationship Between City “Greenness” and Homicide in the US: Evidence Over a 30-Year Period. Environment and Behavior, 54(2), 538-571.