Citation

Mesa-Arango R, Valencia-Alaix VG, Pineda-Mendez RA, Eissa T. Transp. Res. Rec. 2018; 2672(31): 41-53.

Affiliation

Department of Civil Engineering and Construction Management, Florida Institute of Technology, Melbourne, FL 2Ingeniería Civil - Facultad de Minas, Universidad Nacional de Colombia (Medellín), Medellín, Antioquia, Colombia 3Lyles School of Civil Engineering, Purdue University, West Lafayette, IN Corresponding Author: Address correspondence to Rodrigo Mesa Arango: rmesaarango@fit.edu

Copyright

(Copyright © 2018, Transportation Research Board, National Research Council, National Academy of Sciences USA, Publisher SAGE Publishing)

DOI

10.1177/0361198118758684

PMID

unavailable

Abstract

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.

Language: en