Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/34060
Title: Analysis of injury severity of large truck crashes in work zones
Authors: Osman, Mohamed 
Paleti, Rajesh 
Mishra, Sabyasachee 
Golias, Mihalis 
Major Field of Science: Engineering and Technology
Keywords: Large truck;Work zones;Injury severity;Multinomial logit;Ordered logit;Generalized ordered logit
Issue Date: 1-Dec-2016
Source: Accident Analysis and Prevention, vol.97, p.261-273, 2016
Volume: 97
Start page: 261
End page: 273
Journal: Accident Analysis and Prevention 
Abstract: Work zones are critical parts of the transportation infrastructure renewal process consisting of rehabilitation of roadways, maintenance, and utility work. Given the specific nature of a work zone (complex arrangements of traffic control devices and signs, narrow lanes, duration) a number of crashes occur with varying severities involving different vehicle sizes. In this paper we attempt to investigate the causal factors contributing to injury severity of large truck crashes in work zones. Considering the discrete nature of injury severity categories, a number of comparable econometric models were developed including multinomial logit (MNL), nested logit (NL), ordered logit (ORL), and generalized ordered logit (GORL) models. The MNL and NL models belong to the class of unordered discrete choice models and do not recognize the intrinsic ordinal nature of the injury severity data. The ORL and GORL models, on the other hand, belong to the ordered response framework that was specifically developed for handling ordinal dependent variables. Past literature did not find conclusive evidence in support of either framework. This study compared these alternate modeling frameworks for analyzing injury severity of crashes involving large trucks in work zones. The model estimation was undertaken by compiling a database of crashes that (1) involved large trucks and (2) occurred in work zones in the past 10 years in Minnesota. Empirical findings indicate that the GORL model provided superior data fit as compared to all the other models. Also, elasticity analysis was undertaken to quantify the magnitude of impact of different factors on work zone safety and the results of this analysis suggest the factors that increase the risk propensity of sustaining severe crashes in a work zone include crashes in the daytime, no control of access, higher speed limits, and crashes occurring on rural principal arterials.
URI: https://hdl.handle.net/20.500.14279/34060
ISSN: 00014575
DOI: 10.1016/j.aap.2016.10.020
Type: Article
Affiliation : University of Memphis 
Old Dominion University 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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