Built Environmental Designs in Promoting Pedestrian Safety

This study examined two-level (road environments and census tracts) built environments related to the probability of severe injury for pedestrians. In total, 1407 pedestrian–vehicle crashes (years 2008–2012) were identified from 140 census tracts in the city of Austin. Two multilevel models were applied to examine pedestrian injury severity by using level-1 factors (individual characteristics, road environments, and area characteristics around the crash location) and level-2 factors (characteristics of census tracts). The results demonstrated the importance of using the multi-level model to avoid the biased results from employing the single-level model. This study showed that the likelihood of being severely injured or killed decreased when vehicles turned left, when crashes occurred at intersections, when there were traffic control devices at the crash location, and when crashes occurred during inclement weather conditions. Areas with higher sidewalk densities and higher percentage of commercial uses were negative correlates, while population density was a positive predictor. Pedestrian injury severity has been and will continue to be an important topic for the fields of public health. Future safety programs should focus on providing connected sidewalks and on populated areas.

[1]  Venkataraman N. Shankar,et al.  SOME INSIGHTS ON ROADWAY INFRASTRUCTURE DESIGN FOR SAFE ELDERLY PEDESTRIAN TRAVEL , 2006 .

[2]  B. Saelens,et al.  Built environment correlates of walking: a review. , 2008, Medicine and science in sports and exercise.

[3]  Masao Ichikawa,et al.  Risk perception, road behavior, and pedestrian injury among adolescent students in Kathmandu, Nepal , 2007, Injury Prevention.

[4]  N. Schuurman,et al.  Pedestrian Injury and Human Behaviour: Observing Road-Rule Violations at High-Incident Intersections , 2011, PloS one.

[5]  D. Hensher,et al.  A mixed generalized ordered response model for examining pedestrian and bicyclist injury severity level in traffic crashes. , 2008, Accident; analysis and prevention.

[6]  Corinne Peek-Asa,et al.  It wouldn't hurt to walk: promoting pedestrian injury research , 2010, Injury Prevention.

[7]  Mohamed Abdel-Aty,et al.  Exploring the overall and specific crash severity levels at signalized intersections. , 2005, Accident; analysis and prevention.

[8]  A. Celis,et al.  Family characteristics and pedestrian injury risk in Mexican children , 2003, Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention.

[9]  Anne T McCartt,et al.  A review of evidence-based traffic engineering measures designed to reduce pedestrian-motor vehicle crashes. , 2003, American journal of public health.

[10]  Mariela Alfonzo,et al.  Evaluation of the California Safe Routes to School legislation: urban form changes and children's active transportation to school. , 2005, American journal of preventive medicine.

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

[12]  Gudmundur F. Ulfarsson,et al.  Age and pedestrian injury severity in motor-vehicle crashes: a heteroskedastic logit analysis. , 2008, Accident; analysis and prevention.

[13]  J. Sallis,et al.  Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures , 2003, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

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

[15]  Roel Bosker,et al.  Multilevel analysis : an introduction to basic and advanced multilevel modeling , 1999 .

[16]  Andrew P Jones,et al.  The use of multilevel models for the prediction of road accident outcomes. , 2003, Accident; analysis and prevention.

[17]  S. Nie,et al.  Socioeconomic status and the occurrence of non-fatal child pedestrian injury: Results from a cross-sectional survey , 2010 .

[18]  Carolina Burnier,et al.  Severity of injury resulting from pedestrian-vehicle crashes: What can we learn from examining the built environment? , 2009 .

[19]  武彦 福島.  持続可能性(Sustainability)の要件 , 2006 .

[20]  Jean-Claude Thill,et al.  Analysis of traffic hazard intensity: A spatial epidemiology case study of urban pedestrians , 2011, Comput. Environ. Urban Syst..

[21]  Gudmundur F. Ulfarsson,et al.  A note on modeling pedestrian-injury severity in motor-vehicle crashes with the mixed logit model. , 2010, Accident; analysis and prevention.

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

[23]  Elizabeth Cahill.  Spatial epidemiologic analysis of relative collision risk factors among urban bicyclists and pedestrians , 2012 .

[24]  Simon Washington,et al.  Modeling crash outcome probabilities at rural intersections: application of hierarchical binomial logistic models. , 2007, Accident; analysis and prevention.

[25]  Kenneth Olden,et al.  Urban Sprawl and Public Health: Designing, Planning, and Building for Healthy Communities , 2005, Environmental Health Perspectives.

[26]  John N Ivan,et al.  Factors influencing injury severity of motor vehicle-crossing pedestrian crashes in rural Connecticut. , 2003, Accident; analysis and prevention.

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

[28]  Larry E. Toothaker,et al.  Multiple Regression: Testing and Interpreting Interactions , 1991 .

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

[30]  J. Hox,et al.  Sufficient Sample Sizes for Multilevel Modeling , 2005 .

[31]  N N Sze,et al.  Diagnostic analysis of the logistic model for pedestrian injury severity in traffic crashes. , 2007, Accident; analysis and prevention.

[32]  A. Moudon,et al.  The risk of pedestrian injury and fatality in collisions with motor vehicles, a social ecological study of state routes and city streets in King County, Washington. , 2011, Accident; analysis and prevention.

[33]  Xuehao Chu,et al.  Crossing Locations, Light Conditions, and Pedestrian Injury Severity , 2006 .

[34]  Anne Vernez Moudon,et al.  Risk of Pedestrian Collision Occurrence , 2008 .

[35]  Mohamed Abdel-Aty,et al.  Multilevel data and bayesian analysis in traffic safety. , 2010, Accident; analysis and prevention.

[36]  Raphael Grzebieta,et al.  Relative injury severity among vulnerable non-motorised road users: comparative analysis of injury arising from bicycle-motor vehicle and bicycle-pedestrian collisions. , 2010, Accident; analysis and prevention.

[37]  Ward Vanlaar.  Multilevel Modeling in Traffic Safety Research: Two Empirical Examples Illustrating the Consequences of Ignoring Hierarchies , 2005, Traffic injury prevention.

[38]  Hoong Chor Chin,et al.  Severity of driver injury and vehicle damage in traffic crashes at intersections: a Bayesian hierarchical analysis. , 2008, Accident; analysis and prevention.

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

[40]  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.

[41]  J. Hox.  Multilevel analysis: Techniques and applications, 2nd ed. , 2010 .

[42]  Nadine Schuurman,et al.  Pedestrian injury and the built environment: an environmental scan of hotspots , 2009, BMC public health.

[43]  Randall G. Arendt,et al.  Charter of the New Urbanism , 1999 .

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

[45]  G. A. Marcoulides,et al.  Multilevel Analysis Techniques and Applications , 2002 .

[46]  Mohamed Abdel-Aty,et al.  Comprehensive analysis of vehicle-pedestrian crashes at intersections in Florida. , 2005, Accident; analysis and prevention.

[47]  Lilly Shoup,et al.  Dangerous by Design: Solving the Epidemic of Preventable Pedestrian Deaths (and Making Great Neighborhoods) , 2009 .