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Crash Risk for Low-Income and Minority Populations: An Examination of At-Risk Population Segments and Underlying Risk Factors
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2021-08-12
[PDF-4.16 MB]
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Edition:Final Report
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Abstract:Socio-economic status (SES) is a well-known predictor of crash risk. Lower-income, minority, and less-educated persons are disproportionately likely to be injured or killed in a traffic accident. There has been a little substantive examination of the specific nature of the crash risk experienced by specific age and gender cohorts among the lower-income populations or how the daily activities of each of these cohorts may affect crash risk. In general, lower-income and minority populations are treated as monolithic groups, with little effort to identify specific population cohorts at disproportionate risk. This study examines pedestrian and cyclist crashes occurring in lower-income areas in Broward, Palm Beach, and Miami-Dade counties. This study is designed to address three specific objectives: (1) estimate the relative risk of pedestrian and cyclist crashes in lower-income communities, compared to their more affluent counterparts, to understand the nature of the pedestrian and cyclist crash risk in lower-income areas; (2) identify specific at-risk population cohorts within lower-income census block groups, stratified by age, gender, and the time of day to develop a profile of the unique characteristics of crashes experienced by pedestrians and cyclists in these areas; and (3) examine the effect of the commuting patterns on vehicle-pedestrian and vehicle-cyclist collisions. The Getis-Ord Gi* test statistic was used to identify spatial clustering patterns of vehicle-pedestrian and vehicle-cyclist collisions in low-income areas Broward, Palm Beach, and Miami-Dade counties, Florida.
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