@misc{10481/64499,
year = {2020},
url = {http://hdl.handle.net/10481/64499},
abstract = {The lack of robust studies carried out on urban roads in developing countries makes it
difficult to enhance traffic safety, ensuring sustainable roads and cities. This study analyzes the
contribution of a number of explanatory variables behind crashes involving injuries on arterial roads in
Irbid (Jordan). Five binary logistic regression models were calibrated for a crash dataset from 2014–2018:
one for the full database, and the others for the four main crash causes identified by Jordanian Traffic
Police reports. The models show that whatever the crash cause, the three most significant factors linked
to an injury or fatality lie in urban road sections that are in large-scale neighborhood areas, have fewer
than six accesses per kilometer, and have a low traffic volume (under 500 veh/h/ln). Some of these
results agree with previous studies in other countries. Jordan’s governmental agencies concerned
with urban road safety might use these results to develop appropriate plans and implement priority
actions for each crash cause, in addition to undertaking further research for comparative purposes.},
organization = {Spanish Ministry of Science, Innovation and Universities 	
RTI2018-101770-B-I00},
publisher = {MDPI},
keywords = {Crash severity},
keywords = {Collision crashes},
keywords = {Arterial roads},
keywords = {Urban contexts},
keywords = {Logistic regression},
keywords = {Crash cause},
keywords = {Injury},
keywords = {Sustainable roads},
title = {Identifying the Factors That Increase the Probability of an Injury or Fatal Traffic Crash in an Urban Context in Jordan},
doi = {10.3390/su12187464},
author = {Miqdady, Tasneem and Oña López, Juan José De},
}