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Demographic and Socioeconomic Factors Associated with Traffic Crash Involvement in Florida
Department of Civil, Environmental and Construction Engineering, University of Central Florida.
Department of Civil, Environmental and Construction Engineering, University of Central Florida.
Department of Transportation Systems Engineering, Ajou University, South Korea.
North Dakota Department of Transportation Williston, North Dakota.
2013 (English)In: Proceedings of the 16th International Conference Road Safety on Four Continents: Beijing, China. 15-17 May 2013, Linköping: Statens väg- och transportforskningsinstitut, 2013Conference paper, Published paper (Other academic)
Abstract [en]

It is known that the demographic, socioeconomic and traffic characteristics of crash locations have been used as important factors in macroscopic crash analysis. In this study, we focus on the residential ZIP code areas of drivers who were involved in crashes. The objective of this study is to identify the origin’s characteristics of drivers involved in traffic crashes so better targeted education and awareness could be designed and delivered. Various characteristic factors of the postal ZIP code area of a driver’s residence were used in the study. The postal codes were collected from police crash reports for the year 2006 and demographic, socioeconomic and travel pattern data were retrieved from US Census Bureau. Several negative binomial (NB) models were estimated for specific types of crashes such as, total number of crashes (for at-fault drivers), severe crashes (for at-fault drivers), pedestrian crashes, and bicycle crashes. It was found that demographic characteristics such as gender, ethnic group, socioeconomic characteristics including family income and unemployment, and travel patterns as commute mode and travel time to work are significant factors for specific types of crashes. The findings from the study implied that several demographic, socioeconomic and traffic factors of zones can influence the crash frequency of the resident. In the planning phases we can forecast the crash frequency with these models and predicted independent factors in the future. From operational perspective, the results from the study can be used to identify zones that have residents with higher chances to be involved in crashes, thus we can concentrate on these specific zones for education and stricter enforcement.

Place, publisher, year, edition, pages
Linköping: Statens väg- och transportforskningsinstitut, 2013.
Keyword [en]
Accident, Statistics, Demography, Social factors, Residential area
National Category
Other Social Sciences not elsewhere specified
Research subject
80 Road: Traffic safety and accidents, 812 Road: Collation of accident statistics; X RSXC
Identifiers
URN: urn:nbn:se:vti:diva-7350OAI: oai:DiVA.org:vti-7350DiVA: diva2:759173
Conference
16th International Conference Road Safety on Four Continents. Beijing, China (RS4C 2013). 15-17 May 2013
Available from: 2014-10-29 Created: 2014-10-29 Last updated: 2014-10-29Bibliographically approved

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Type fulltextMimetype application/pdf

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf