Research Article

Statistical Safety Performance Models considering Pavement and Roadway Characteristics

Table 2

Summary statistics of key variables (1,811 segments).

DescriptionMeanStandard deviationMinimumMaximum

Response variables
(1) N_Crash: number of crashes16.646.20642

Continuous variables
(2) Ln_Lgth: natural log of the segment length in feet8.30.95.610.9
(3) Ln_AADT: natural log of average annual daily traffic9.81.07.412.0
(4) Lq_MPD: largest quartile of mean profile depth0.70.30.22.5
(5) Av_Frict: average friction value in skid number40.16.816.962.0
(6) Av_Grad: average longitudinal grade1.00.604.5
(7) Lg_Dgcv: largest degree of curve1.23.5066.6
(8) Ln_Lgcv: natural log of the length of curve in feet1.83.109.7

Indicator variables (described with proportion for each category)
(9) PvType: pavement type1. AC: 57.8%; 2. JCP: 30.6%; 3. CRCP: 11.7%
(10) RrloUrb: rural or urban1. Rural: 55.5%; 2. Urban: 44.5%
(11) ExsMdn: existence of median1. No: 10.7%; 2. Yes: 89.3%
(12) ExsShd: existence of shoulder1. No: 4.1%; 2. Yes: 95.9%
(13) RnkIRI: rank of international roughness index1. Good: 4.8%; 2. Acceptable: 19.8%; 3. Poor: 75.4%
(14) RnkRut: rank of maximum rutting depth1. Good: 6.4%; 2. Acceptable: 23.3%; 3. Poor: 70.3%

Note. AC: asphalt pavement; JCP: jointed concrete pavement; and CRCP: continuously reinforced concrete pavement.