This paper investigates the determinants of injury severities in single-bicycle and bicycle- motor vehicle crashes by estimating correlated random parameter ordered probit models …
Introduction: Reducing the severity of crashes is a top priority for safety researchers due to its impact on saving human lives. Because of safety concerns posed by large trucks and the …
This paper employs a correlated random parameters ordered probit modeling framework to explore time-variant and time-invariant factors affecting injury-severity outcomes in single …
Using information from 1990 single-vehicle accidents that occurred between 2011 and 2013 in the state of Washington, the injury severity level of the most severely injured vehicle …
In accident injury-severity analysis, an inherent limitation of the traditional ordered probit approach arises from the a priori consideration of a homogeneous source for the accidents …
The study investigates the role of the built environment attributes and their contextual effects on travel behaviour. The study utilized a dataset of 4739 respondents elicited from an online …
S Chen, TU Saeed, S Labi - Analytic methods in accident research, 2017 - Elsevier
Recent studies have begun to shed more light on the crashes experienced on rural roads by examining the influence of a road's pavement surface condition. In a bid to contribute to this …
B Zhang, Z Du, B Wang, Z Wang - Technological Forecasting and Social …, 2019 - Elsevier
With the emerging technology and consumption modes under “Big data” context, e- commerce has arisen as a new trend for e-waste recycling. This paper conducted a …
Recent developments indicate that emerging technologies like connected and autonomous vehicles (CAVs) and mobility-on-demand services and their possible integrations can …