Novel Methods for Environmental Assessment of Pedestrian Injury: Creation and Validation of the Inventory for Pedestrian Safety Infrastructure

Nationally, 80% of pedestrian fatalities occur in urban environments, yet the distribution of injuries across urban areas is not uniform. Identifying street-level risk factors for pedestrian injury is essential for urban planning and improvement projects, as well as targeted injury prevention efforts. However, creating and maintaining a comprehensive database of a city’s traffic safety infrastructure can be cumbersome and costly. The purpose of this study was to create and validate a neighborhood environmental observational assessment tool to capture evidence-based pedestrian safety infrastructure using Google Street View (GSV)—The Inventory for Pedestrian Safety Infrastructure (IPSI). We collected measures in-person at 172 liquor stores in Baltimore City from June to August 2015 to assess the tool’s reliability; we then collected IPSI measures at the same 172 locations using GSV from February to March 2016 to assess IPSI reliability using GSV. The majority of items had good or excellent levels of inter-rater reliability (ICC ≥ 0.8), with intersection features showing the highest agreement across raters. Two scales were also developed using exploratory factor analysis, and both showed strong internal consistency (Cronbach’s alpha ≥ 0.6). The IPSI provides a valid, economically efficient tool for assessing pedestrian safety infrastructure that can be employed for a variety of research and urban planning needs. It can also be used for in-person or GSV observation. Reliable and valid measurement of pedestrian safety infrastructure is essential to effectively prevent future pedestrian injuries.

[1]  Stephen J Mooney,et al.  Development and deployment of the Computer Assisted Neighborhood Visual Assessment System (CANVAS) to measure health-related neighborhood conditions. , 2015, Health & place.

[2]  W. Haddon Energy damage and the ten countermeasure strategies. , 1973, Human factors.

[3]  T. Ten Have,et al.  Acute Alcohol Consumption, Alcohol Outlets, and Gun Suicide , 2011, Substance use & misuse.

[4]  Robert J. Sampson,et al.  Neighborhood-Level Context and Health: Lessons from Sociology , 2003 .

[5]  Ted Chira-Chavala,et al.  A Technical Guide for Conducting Pedestrian Safety Assessments for California Cities , 2008 .

[6]  C. Runyan Introduction: back to the future--revisiting Haddon's conceptualization of injury epidemiology and prevention. , 2003, Epidemiologic reviews.

[7]  Andrew Curtis,et al.  Using google street view for systematic observation of the built environment: analysis of spatio-temporal instability of imagery dates , 2013, International Journal of Health Geographics.

[8]  Jeffrey S. Wilson,et al.  Using Google Street View to Audit the Built Environment: Inter-rater Reliability Results , 2013, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[9]  Jen Nickelson,et al.  Inventory of the physical environment domains and subdomains measured by neighborhood audit tools: A systematic literature review , 2013 .

[10]  Mehdi Moeinaddini,et al.  Pedestrian safety index for evaluating street facilities in urban areas , 2015 .

[11]  Bronwen T. Taylor,et al.  Measuring the quality of public open space using Google Earth. , 2011, American journal of preventive medicine.

[12]  A. Caspi,et al.  Systematic social observation of children's neighborhoods using Google Street View: a reliable and cost-effective method. , 2012, Journal of child psychology and psychiatry, and allied disciplines.

[13]  Dan Nabors,et al.  Pedestrian Safety Guide for Transit Agencies , 2008 .

[14]  Rhonda Jones-Webb,et al.  Matching study areas using Google Street View: A new application for an emerging technology. , 2015, Evaluation and program planning.

[15]  R. Kearns,et al.  Geographies of inequality: child pedestrian injury and walking school buses in Auckland, New Zealand. , 2005, Social science & medicine.

[16]  Daniel A. Rodriguez,et al.  The development and testing of an audit for the pedestrian environment , 2007 .

[17]  C. Rinner,et al.  Patterns of Urban Violent Injury: A Spatio-Temporal Analysis , 2010, PloS one.

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

[19]  Robert J. Sampson,et al.  Systematic Social Observation of Public Spaces: A New Look at Disorder in Urban Neighborhoods1 , 1999, American Journal of Sociology.

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

[21]  Julien O. Teitler,et al.  Using Google Street View to audit neighborhood environments. , 2011, American journal of preventive medicine.

[22]  Stephen J Mooney,et al.  Use of Google Street View to Assess Environmental Contributions to Pedestrian Injury. , 2016, American journal of public health.

[23]  C. Newgard,et al.  Trauma in the neighborhood: a geospatial analysis and assessment of social determinants of major injury in North America. , 2011, American journal of public health.

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

[25]  K. Glanz,et al.  An Ecological Perspective on Health Promotion Programs , 1988, Health education quarterly.

[26]  J. M. Cortina,et al.  What Is Coefficient Alpha? An Examination of Theory and Applications , 1993 .

[27]  Thomas Koepsell,et al.  Turning at Intersections and Pedestrian Injuries , 2006, Traffic injury prevention.

[28]  Nancy E Adler,et al.  Local services and amenities, neighborhood social capital, and health. , 2004, Social science & medicine.

[29]  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.

[30]  Stephen J Mooney,et al.  Validity of an ecometric neighborhood physical disorder measure constructed by virtual street audit. , 2014, American journal of epidemiology.

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

[32]  M J Cynecki,et al.  A REVIEW OF PEDESTRIAN SAFETY RESEARCH IN THE UNITED STATES AND ABROAD , 2004 .

[33]  Jae Seung Lee,et al.  Virtual and actual: relative accuracy of on-site and web-based instruments in auditing the environment for physical activity. , 2013, Health & place.

[34]  T. Farley,et al.  Alcohol outlet density and alcohol consumption in Los Angeles county and southern Louisiana. , 2008, Geospatial health.

[35]  Victoria Gitelman,et al.  Characterization of pedestrian accidents and an examination of infrastructure measures to improve pedestrian safety in Israel. , 2012, Accident; analysis and prevention.

[36]  Geoffrey R. Norman,et al.  Biostatistics: The Bare Essentials , 1993 .

[37]  Jacob Cohen,et al.  The Equivalence of Weighted Kappa and the Intraclass Correlation Coefficient as Measures of Reliability , 1973 .

[38]  Ann Forsyth,et al.  The Irvine-Minnesota inventory to measure built environments: development. , 2006, American journal of preventive medicine.

[39]  Greet Cardon,et al.  Assessing the environmental characteristics of cycling routes to school: a study on the reliability and validity of a Google Street View-based audit , 2014, International Journal of Health Geographics.

[40]  Jennifer Ailshire,et al.  Using Google Earth to conduct a neighborhood audit: reliability of a virtual audit instrument. , 2010, Health & place.

[41]  A. Fascioli,et al.  Pedestrian Protection Systems : Issues , Survey , and Challenges , 2007 .

[42]  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.

[43]  Lawrence D. Frank,et al.  Income disparities in perceived neighborhood built and social environment attributes. , 2011, Health & place.

[44]  Paul J Gruenewald,et al.  Ecological models of alcohol outlets and violent assaults: crime potentials and geospatial analysis. , 2006, Addiction.

[45]  Andy P. Jones,et al.  Developing and testing a street audit tool using Google Street View to measure environmental supportiveness for physical activity , 2013, International Journal of Behavioral Nutrition and Physical Activity.

[46]  Xuemei Zhu,et al.  Walkability and safety around elementary schools economic and ethnic disparities. , 2008, American journal of preventive medicine.

[47]  Kevin A Hallgren,et al.  Computing Inter-Rater Reliability for Observational Data: An Overview and Tutorial. , 2012, Tutorials in quantitative methods for psychology.

[48]  Elizabeth D Nesoff,et al.  Not in My Back Yard: A Comparative Analysis of Crime Around Publicly Funded Drug Treatment Centers, Liquor Stores, Convenience Stores, and Corner Stores in One Mid-Atlantic City. , 2016, Journal of studies on alcohol and drugs.

[49]  Billie Giles-Corti,et al.  Developing a reliable audit instrument to measure the physical environment for physical activity. , 2002, American journal of preventive medicine.

[50]  J. Anthony,et al.  The NIfETy Method for Environmental Assessment of Neighborhood-level Indicators of Violence, Alcohol, and Other Drug Exposure , 2008, Prevention Science.