Research Article

Analysis of Work-Zone Crashes Using the Ordered Probit Model with Factor Analysis in Egypt

Table 1

Characteristics and descriptive statistics of factors.

CategoryfactorcodingPercentageMeanStd. Deviation

Fault driversAgeYoung Age67.5%1.390.62
Middle Age25.5%
Elderly Age7.0%
GenderMale83.8%1.160.37
Female16.2%

EnvironmentalDay of weekWorking days85.2%1.140.35
Weekend days14.8%
MonthsMonthDivided by month4.142.93
TimeLate night-time21.7%2.341.13
Daytime rush hour44.9%
Daytime18.8%
Night-time rush hour6.4%
Early night-time8.1%
Weather conditionClear48.7%1.710.78
Fog31.6%
Rain19.7%

Work-zone informationType of surface constructionBase18.0%2.971.43
Asphalt24.1%
Remove Asphalt26.4%
Milling6.4%
Concrete25.2%
Number of lane closuresOne47.0%1.470.50
Two53.0%

Road characterRoad CharacterStraight & level39.7%2.341.26
Curve14.5%
U-Turn18.0%
Straight & Grade27.8%
Road classRural68.1%1.320.47
Urban31.9%

Crash characteristicsVehicle typeHeavy-vehicle39.7%0.400.49
Other60.3%
Crash typeRear end39.3%1.410.89
Fixed Object13.7%
Sideswipe27.9%
Angle-side17.2%
Pedestrian1.9%
Number of vehicle in collisionOne vehicle18.0%0.820.38
More than one82.0%

Crash severityCrash severityNo injury24.3%ā€‰ā€‰
Injury60.3%
Fatal injury15.4%