Crash risk, crash exposure, and the built environment: A conceptual review.

This paper reviews the literature on the relationship between the built environment and roadway safety, with a focus on studies that analyse small geographical units, such as census tracts or travel analysis zones. We review different types of built environment measures to analyse if there are consistent relationships between such measures and crash frequency, finding that for many built environment variables there are mixed or contradictory correlations. We turn to the treatment of exposure, because built environment measures are often used, either explicitly or implicitly, as measures of exposure. We find that because exposure is often not adequately controlled for, correlations between built environment features and crash rates could be due to either higher levels of exposure or higher rates of crash risk per unit of exposure. Then, we identify various built environment variables as either more related to exposure, more related to risk, or ambiguous, and recommend further targeted research on those variables whose relationship is currently ambiguous.

[1]  D. Alex Quistberg,et al.  Multilevel models for evaluating the risk of pedestrian-motor vehicle collisions at intersections and mid-blocks. , 2015, Accident; analysis and prevention.

[2]  Majid Sarvi,et al.  Macroscopic modeling of pedestrian and bicycle crashes: A cross-comparison of estimation methods. , 2016, Accident; analysis and prevention.

[3]  Ashutosh Kumar Singh,et al.  Examining racial bias as a potential factor in pedestrian crashes. , 2017, Accident; analysis and prevention.

[4]  Patrick Morency,et al.  The link between built environment, pedestrian activity and pedestrian-vehicle collision occurrence at signalized intersections. , 2011, Accident; analysis and prevention.

[5]  Kimberly Barsamian Kahn,et al.  Webinar: Racial Bias in Driver Yielding Behavior at Crosswalks , 2015 .

[6]  A. Metcalfe,et al.  The influence of urban land-use on non-motorised transport casualties. , 2006, Accident; analysis and prevention.

[7]  Xuemei Zhu,et al.  Planning for Safe Schools , 2016 .

[8]  Jutaek Oh,et al.  Forecasting Crashes at the Planning Level: Simultaneous Negative Binomial Crash Model Applied in Tucson, Arizona , 2004 .

[9]  Peng Chen,et al.  Built environment factors in explaining the automobile-involved bicycle crash frequencies: a spatial statistic approach , 2015 .

[10]  Andrew Howard,et al.  Motor Vehicle-Pedestrian Collisions and Walking to School: The Role of the Built Environment , 2014, Pediatrics.

[11]  Feng Wei,et al.  An empirical tool to evaluate the safety of cyclists: Community based, macro-level collision prediction models using negative binomial regression. , 2013, Accident; analysis and prevention.

[12]  Eric Dumbaugh,et al.  Examining the Design and Developmental Factors Associated with Crashes Involving Pedestrians, Cyclists, and Motorists in Urban Environments , 2012 .

[13]  Benoît Flahaut,et al.  Impact of infrastructure and local environment on road unsafety. Logistic modeling with spatial autocorrelation. , 2004, Accident; analysis and prevention.

[14]  Mohamed Abdel-Aty,et al.  Development of zone system for macro-level traffic safety analysis , 2014 .

[15]  Mohammed A. Quddus,et al.  Effects of Geodemographic Profiles of Drivers on Their Injury Severity from Traffic Crashes Using Multilevel Mixed-Effects Ordered Logit Model , 2015 .

[16]  Xiaoxia Dong,et al.  Do Denser Neighborhoods Have Safer Streets? Population Density and Traffic Safety in the Philadelphia Region , 2019, Journal of Planning Education and Research.

[17]  Jean-Claude Thill,et al.  Spatial epidemiologic analysis of relative collision risk factors among urban bicyclists and pedestrians , 2012 .

[18]  Eric Dumbaugh,et al.  Safe Urban Form: Revisiting the Relationship Between Community Design and Traffic Safety , 2009 .

[19]  Asad J Khattak,et al.  The role of the built environment in explaining relationships between perceived and actual pedestrian and bicyclist safety. , 2009, Accident; analysis and prevention.

[20]  Naveen Eluru,et al.  Latent segmentation based count models: Analysis of bicycle safety in Montreal and Toronto. , 2016, Accident; analysis and prevention.

[21]  Srinivas S Pulugurtha,et al.  Traffic analysis zone level crash estimation models based on land use characteristics. , 2013, Accident; analysis and prevention.

[22]  Ezra Hauer,et al.  An exemplum and its road safety morals. , 2016, Accident; analysis and prevention.

[23]  Isabelle Sternfeld,et al.  Impact of population density on collision rates in a rapidly developing rural, exurban area of Los Angeles County , 2012, Injury Prevention.

[24]  Kira Hyldekær Janstrup,et al.  Road Safety Annual Report 2017 , 2017 .

[25]  Qing Shen,et al.  Identifying high-risk built environments for severe bicycling injuries. , 2019, Journal of safety research.

[26]  I Made Brunner,et al.  Entropy and Accidents , 2012 .

[27]  J. Blatt,et al.  Residence location of drivers involved in fatal crashes. , 1998, Accident; analysis and prevention.

[28]  Chia-Yuan Yu,et al.  Built Environmental Designs in Promoting Pedestrian Safety , 2015 .

[29]  Helai Huang,et al.  County-Level Crash Risk Analysis in Florida: Bayesian Spatial Modeling , 2010 .

[30]  Reid Ewing,et al.  Urban sprawl as a risk factor in motor vehicle crashes , 2016 .

[31]  Bert van Wee,et al.  Accessibility evaluation of land-use and transport strategies: review and research directions , 2004 .

[32]  Catherine Morency,et al.  Neighborhood social inequalities in road traffic injuries: the influence of traffic volume and road design. , 2012, American journal of public health.

[33]  Anastasia Loukaitou-Sideris,et al.  Death on the Crosswalk , 2007 .

[34]  Mohamed Abdel-Aty,et al.  Macroscopic spatial analysis of pedestrian and bicycle crashes. , 2012, Accident; analysis and prevention.

[35]  Mohamed Abdel-Aty,et al.  Reducing Fatalities and Severe Injuries on Florida’s High-Speed Multi-Lane Arterial Corridors; Part I: Preliminary Severity Analysis of Driver Crash Involvements , 2009 .

[36]  William H Lucy Mortality risk associated with leaving home: recognizing the relevance of the built environment. , 2003, American journal of public health.

[37]  Sigal Kaplan,et al.  A Spatial Analysis of Land Use and Network Effects on Frequency and Severity of Cyclist–Motorist Crashes in the Copenhagen Region , 2015, Traffic injury prevention.

[38]  Rayman Mohamed,et al.  Jurisdictional spillover effects of sprawl on injuries and fatalities. , 2014, Accident; analysis and prevention.

[39]  Mohamed Abdel-Aty,et al.  Comparative analysis of zonal systems for macro-level crash modeling. , 2017, Journal of safety research.

[40]  M. Quddus Modelling area-wide count outcomes with spatial correlation and heterogeneity: an analysis of London crash data. , 2008, Accident; analysis and prevention.

[41]  Peng Chen,et al.  Built environment effects on bike crash frequency and risk in Beijing. , 2017, Journal of safety research.

[42]  I Made Brunner,et al.  Influence of Land Use, Population, Employment, and Economic Activity on Accidents , 2006 .

[43]  Robert B. Noland,et al.  Analysis of Pedestrian and Bicycle Casualties with Regional Panel Data , 2004 .

[44]  Chia-Yuan Yu,et al.  Environmental supports for walking/biking and traffic safety: income and ethnicity disparities. , 2014, Preventive medicine.

[45]  Tarek Sayed,et al.  Evaluating the impact of bike network indicators on cyclist safety using macro-level collision prediction models. , 2016, Accident; analysis and prevention.

[46]  Satish V. Ukkusuri,et al.  The role of built environment on pedestrian crash frequency , 2012 .

[47]  Wenhao Li,et al.  Designing for the Safety of Pedestrians, Cyclists, and Motorists in Urban Environments , 2010 .

[48]  Erick Guerra,et al.  Where do bike lanes work best? A Bayesian spatial model of bicycle lanes and bicycle crashes. , 2017, Safety science.

[49]  Kelly J Clifton,et al.  An examination of the environmental attributes associated with pedestrian-vehicular crashes near public schools. , 2007, Accident; analysis and prevention.

[50]  Peng Chen,et al.  Effects of the Built Environment on Automobile-Involved Pedestrian Crash Frequency and Risk , 2016 .

[51]  L. McCloskey,et al.  Crosswalk markings and the risk of pedestrian-motor vehicle collisions in older pedestrians. , 2002, JAMA.

[52]  Reid Ewing,et al.  The Built Environment and Traffic Safety , 2009 .

[53]  Satish V. Ukkusuri,et al.  Random Parameter Model Used to Explain Effects of Built-Environment Characteristics on Pedestrian Crash Frequency , 2011 .

[54]  Charles DiMaggio,et al.  Small-Area Spatiotemporal Analysis of Pedestrian and Bicyclist Injuries in New York City , 2015, Epidemiology.

[55]  D. Graham,et al.  Spatial Variation in Road Pedestrian Casualties: The Role of Urban Scale, Density and Land-use Mix , 2003 .

[56]  Bhagwant Persaud,et al.  Safety Prediction Models , 2007 .

[57]  Eric Yamashita,et al.  Motor Vehicle Crashes and Land Use: Empirical Analysis from Hawaii , 2002 .

[58]  S. Srinivasan,et al.  Planning-Level Model for Assessing Pedestrian Safety , 2014 .

[59]  Lisa Aultman-Hall,et al.  Urban Streetscape Design and Crash Severity , 2015 .

[60]  Andrew Howard,et al.  Walking and child pedestrian injury: a systematic review of built environment correlates of safe walking , 2013, Injury Prevention.

[61]  Philip Stoker,et al.  Pedestrian Safety and the Built Environment , 2015 .

[62]  Norman W Garrick,et al.  Does street network design affect traffic safety? , 2011, Accident; analysis and prevention.

[63]  Robert B Noland,et al.  Traffic fatalities and injuries: the effect of changes in infrastructure and other trends. , 2003, Accident; analysis and prevention.

[64]  Frederick P Rivara,et al.  The Relationship Between Objectively Measured Walking and Risk of Pedestrian–Motor Vehicle Collision , 2017, American journal of epidemiology.

[65]  Ilir Bejleri,et al.  Geographic Information System–Based Community-Level Method to Evaluate the Influence of Built Environment on Traffic Crashes , 2014 .

[66]  K. Ng,et al.  EFFECTS OF URBAN DESIGN ON ROAD ACCIDENTS IN HONG KONG , 2001 .

[67]  Tarek Sayed,et al.  Using Macrolevel Collision Prediction Models in Road Safety Planning Applications , 2006 .

[68]  Mohamed Abdel-Aty,et al.  Multivariate crash modeling for motor vehicle and non-motorized modes at the macroscopic level. , 2015, Accident; analysis and prevention.

[69]  P J Gruenewald,et al.  Demographic and environmental correlates of pedestrian injury collisions: a spatial analysis. , 2000, Accident; analysis and prevention.

[70]  Reid Ewing,et al.  Urban Sprawl as a Risk Factor in Motor Vehicle Occupant and Pedestrian Fatalities: Update and Refinement , 2015 .

[71]  Rajiv Bhatia,et al.  An area-level model of vehicle-pedestrian injury collisions with implications for land use and transportation planning. , 2009, Accident; analysis and prevention.

[72]  D. Clark Effect of population density on mortality after motor vehicle collisions. , 2003, Accident; analysis and prevention.

[73]  Samuel Nunn,et al.  Landscapes of Risk: The Geography of Fatal Traffic Collisions in Indiana, 2003 to 2011 , 2015 .

[74]  Thomas Jonsson,et al.  Predictive models for accidents on urban links - A focus on vulnerable road users , 2005 .

[75]  César M. Fuentes,et al.  Spatial environmental risk factors for pedestrian injury collisions in Ciudad Juárez, Mexico (2008–2009): implications for urban planning , 2013, International journal of injury control and safety promotion.

[76]  Peng Chen,et al.  Built environment effects on cyclist injury severity in automobile-involved bicycle crashes. , 2016, Accident; analysis and prevention.

[77]  John N. Ivan,et al.  Predicting Segment-Intersection Crashes with Land Development Data , 2009 .

[78]  Mohamed Abdel-Aty,et al.  Geographical unit based analysis in the context of transportation safety planning , 2013 .

[79]  Rune Elvik,et al.  The non-linearity of risk and the promotion of environmentally sustainable transport. , 2009, Accident; analysis and prevention.

[80]  Mohamed Abdel-Aty,et al.  Joint Modeling of Pedestrian and Bicycle Crashes: Copula-Based Approach , 2016 .

[81]  Chia-Yuan Yu,et al.  Local Variations in the Impacts of Built Environments on Traffic Safety , 2017 .

[82]  Chia-Yuan Yu How Differences in Roadways Affect School Travel Safety , 2015 .

[83]  Reid Ewing,et al.  Urban sprawl as a risk factor in motor vehicle occupant and pedestrian fatalities. , 2003, American journal of public health.

[84]  Reid Ewing,et al.  Travel and the Built Environment , 2010 .

[85]  Kara M Kockelman,et al.  A Poisson-lognormal conditional-autoregressive model for multivariate spatial analysis of pedestrian crash counts across neighborhoods. , 2013, Accident; analysis and prevention.