Spatial Analysis of Child Pedestrian and Bicycle Crashes

Pedestrian and bicycle safety for school-aged children is a particular concern as traffic crashes continue to be a leading cause of death for children 5 to 14 years old. For this concern to be addressed, Safe Routes to School (SRTS) programs have been implemented in communities across the country, with one of the primary objectives being to provide safe and convenient routes for children to walk or bike to school. Unfortunately, SRTS programs allocate limited funding for such projects. Consequently, it is imperative that programs are implemented at locations where they are likely to have the greatest impact. The primary focus of this study was to develop a safety Performance function (SPF) for use in prioritizing candidate schools for SRTS programs. Traffic crashes over a 5-year analysis period were examined and linked to data that included the school enrollment, the socioeconomic and demographic data for each school district, and the functional class of the roadway on which each school was located. Schools on local roads were found to experience more crashes than those located on other, higher-class road facilities. Crashes also varied with average family size, number of parents per household, population density, and median family income. Crashes were less frequent in school districts that exhibited greater ethnic diversity. The SPF developed as a part of this research can be used for prioritization of candidate schools as well as to assess the efficacy of SRTS programs on a longitudinal basis and thus provide a valuable tool for school administrators and others involved in child pedestrian and bicycle safety.

[1]  Carrie Makarewicz,et al.  Vouchers, Magnet Schools, Charter Schools, and Options , 2013 .

[2]  Traffic safety facts 2011 data--pedestrians. , 2013, Annals of emergency medicine.

[3]  Guy Faulkner,et al.  Predictors of driving among families living within 2km from school: Exploring the role of the built environment , 2014 .

[4]  Peter T. Savolainen,et al.  Effect of Pedestrian Safety Retraining for Elementary and Middle School Students , 2010 .

[5]  C. Blazquez,et al.  A spatial and temporal analysis of child pedestrian crashes in Santiago, Chile. , 2013, Accident; analysis and prevention.

[6]  A. Elkins On your bike! , 2012, The British journal of general practice : the journal of the Royal College of General Practitioners.

[7]  F. Chaloupka,et al.  The impact of state safe routes to school-related laws on active travel to school policies and practices in U.S. elementary schools. , 2012, Health & place.

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

[9]  Xuesong Wang,et al.  Integrating Trip and Roadway Characteristics to Manage Safety in Traffic Analysis Zones , 2011 .

[10]  Nikolaos Yiannakoulias,et al.  Mapping commuter cycling risk in urban areas. , 2012, Accident; analysis and prevention.

[11]  Kristian Larsen,et al.  Safety and School Travel , 2013 .

[12]  Fred L. Mannering,et al.  The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives , 2010 .

[13]  Susan L Handy,et al.  Factors associated with bicycling to high school: insights from Davis, CA , 2012 .

[14]  Arnaud Banos,et al.  Spatial Distribution of Road Accidents in the Vicinity of Point Sources Application to Child Pedestrian Accidents , 2000 .

[15]  Widmer Bland,et al.  Altering School Attendance Times to Prevent Child Pedestrian Injuries , 2013, Traffic injury prevention.

[16]  S. Washington,et al.  Statistical and Econometric Methods for Transportation Data Analysis , 2010 .

[17]  B. Giles-Corti,et al.  On your bike! a cross-sectional study of the individual, social and environmental correlates of cycling to school , 2011, The international journal of behavioral nutrition and physical activity.

[18]  Kelly Draper Zuniga,et al.  From barrier elimination to barrier negotiation : a qualitative study of parents' attitudes about active travel for elementary school trips , 2012 .

[19]  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.

[20]  Orion Stewart,et al.  Findings from Research on Active Transportation to School and Implications for Safe Routes to School Programs , 2011 .

[21]  Yizhao Yang,et al.  Integrating Parental Attitudes in Research on Children's Active School Commuting , 2012 .

[22]  Simon Washington,et al.  Statistical and Econometric Methods for Transportation Data Analysis (2nd Edition) , 2010 .

[23]  T. Datta,et al.  Evaluation of Pedestrian Safety Educational Program for Elementary and Middle School Children , 2009 .

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

[25]  Timothy C. Coburn,et al.  Statistical and Econometric Methods for Transportation Data Analysis , 2004, Technometrics.

[26]  Lawrence D. Frank,et al.  Traffic Safety and Safe Routes to Schools , 2007 .

[27]  A. Price,et al.  School administrators' perceptions of factors that influence children's active travel to school. , 2011, The Journal of school health.

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

[29]  Michael J. Cynecki,et al.  Prioritizing schools for safe routes to school infrastructure projects , 2010 .

[30]  Miles Tight,et al.  The use of geographical information systems to enhance road safety analysis , 1997 .