title: A time of day analysis of crashes involving large trucks in urban areas.
abstract: Previous studies have looked at different factors that contribute to large truck-involved crashes, however a detailed analysis considering the specific effects of time of day is lacking. Using the Crash Records Information System (CRIS) database in Texas, large truck-involved crashes occurring on urban freeways between 2006 and 2010 were separated into five time periods (i.e., early morning, morning, mid-day, afternoon and evening). A series of log likelihood ratio tests were conducted to validate that five separate random parameters logit models by time of day were warranted. The outcomes of each time of day model show major differences in both the combination of variables included in each model and the magnitude of impact of those variables. These differences show that the different time periods do in fact have different contributing factors to each injury severity further highlighting the importance of examining crashes based on time of day. Traffic flow, light conditions, surface conditions, time of year and percentage of trucks on the road were found as key differences between the time periods.
authors.affiliation: School of Civil and Construction Engineering Oregon State University, 309 Owen Hall, Corvallis, OR 97331-3212, USA. Electronic address: pahukulj@onid.oregonstate.edu.
authors.forename: Jasmine
authors.initials: J
authors.lastname: Pahukula
authors.affiliation: School of Civil and Construction Engineering Oregon State University, 309 Owen Hall, Corvallis, OR 97331-3212, USA. Electronic address: sal.hernandez@oregonstate.edu.
authors.forename: Salvador
authors.initials: S
authors.lastname: Hernandez
authors.affiliation: Department of Civil and Environmental Engineering, West Virginia University, Room 621 ESB, P. O. Box 6103, Morgantown, WV 26506-6103, USA. Electronic address: avinashu@gmail.com.
authors.forename: Avinash
authors.initials: A
authors.lastname: Unnikrishnan
mesh_terms: D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D001334:Automobile Driving; D004779:Environment Design; D006801:Humans; D016015:Logistic Models; D018986:Motor Vehicles / Q000706:statistics & numerical data*; D013472:Sunlight; D013781:Texas; D014505:Urban Population
keywords: Freight; Injury severity; Interstate; Mixed logit; Time-of-day; Truck accidents