Pedestrian Fatal Crash Location Analysis in Ohio using ESDA Techniques

Authors: Bhuiyan Monwar Alam*, The University of Toledo, Rebekka Apardian, Spatially Integrated Social Sciences Program, Department of Geography & Planning, The University of Toledo
Topics: Transportation Geography, Spatial Analysis & Modeling, Urban and Regional Planning
Keywords: Pedestrian Crash, Fatality, Ohio, ESDA, Traffic Safety, Spatial Scale
Session Type: Paper
Day: 4/7/2019
Start / End Time: 2:00 PM / 3:40 PM
Room: Truman, Marriott, Mezzanine Level
Presentation File: No File Uploaded


Pedestrian safety is a top priority within the transportation planning community as cities promote sustainable transportation, alternative travel modes, and healthy lifestyles. If people feel unsafe while walking, they will choose other modes of transportation if they are able. In order to prioritize safety, it is important to know where pedestrian crashes are occurring and in what severity. Using spatial statistical methods including quadrat analysis, nearest neighbor statistic, Moran’s I and General G statistics, this study seeks to analyze the pedestrian fatality locations within the state of Ohio over a ten-year period (2007-2016) to identify hot spots, cold spots, and spatial patterns across three different spatial scales: counties, census tracts, and traffic analysis zones. It seeks to understand the effects of aggregated data across these spatial scales on the outcome of the analysis and determine the most useful spatial scale at which to study pedestrian fatalities. The study concludes that local spatial analyses at census tract scale are most informative. It goes on to recommend locations within Ohio for future analysis based on the resulting maps, including clusters of high pedestrian fatality tracts neighboring with clusters of high pedestrian fatality tracts (high-high), high pedestrian fatality tracts neighboring with clusters of low pedestrian fatality tracts (high-low), and low pedestrian fatality tracts neighboring with clusters of low pedestrian fatality tracts (low-low). The results of this study will be of utmost importance to the transportation planners, engineers, and policy makers who are involved in decision making at different capacities.

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