Influence of Socioeconomic Conditions on Crash Injury Severity for an Urban Area in a Developing Country
This paper includes macroeconomic conditions in an econometric framework to understand urban crash injury severity (CIS) in a developing country, and identify its distinctive socioeconomic conditions. The work combines classic variables from a unique data set of crashes in Medellín, Colombia, with macroeconomic indicators. A multinomial logit (MNL) model with random parameters mines valuable information from the data. Numerical results support the following CIS mitigation policies: upgrading intersections with traffic signals; incorporating forgiving roadway designs; providing better conditions for motorcyclists and non-motorized users; prioritizing education, outreach, and enforcement campaigns during periods of good macroeconomic conditions (for some segments of the population), high motorization rates, and regarding specific periods, that is, times within the day, the week, and the year.
- Record URL:
- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/03611981
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Authors:
- Mesa-Arango, Rodrigo
- Valencia-Alaix, Víctor G
- Pineda-Mendez, Raul A
- Eissa, Taleb
- Publication Date: 2018
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References; Tables;
- Pagination: pp 41-53
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Serial:
- Transportation Research Record: Journal of the Transportation Research Board
- Volume: 2672
- Issue Number: 31
- Publisher: Sage Publications, Incorporated
- ISSN: 0361-1981
- EISSN: 2169-4052
- Serial URL: http://journals.sagepub.com/home/trr
Subject/Index Terms
- TRT Terms: Crash injuries; Developing countries; Injury severity; Macroeconomics; Multinomial logits; Socioeconomic factors; Urban areas
- Geographic Terms: Medellin (Colombia)
- Subject Areas: Economics; Highways; Safety and Human Factors;
Filing Info
- Accession Number: 01666283
- Record Type: Publication
- Report/Paper Numbers: 18-04655
- Files: TRIS, TRB, ATRI
- Created Date: Apr 19 2018 9:48AM