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Table 2 Selected models for segments

From: The variability of urban safety performance functions for different road elements: an Italian case study

Predictor

Estimate

Std. Error

z- value

p-value

All segments

 (Intercept)

−6.054

0.728

−8.318

<  0.001

Ln (AADT)

0.375

0.084

4.449

<  0.001

Ln(L)

0.292

0.060

4.907

<  0.001

 Type of lanes 1: > 1 (reference: 1 lane)

0.079

0.167

0.470

0.638

Type of lanes 2: 1 + 1 (ref.: 1 lane)

0.524

0.151

3.471

<  0.001

Type of lanes 3: >  1 + 1 (ref.: 1 lane)

0.707

0.181

3.906

<  0.001

Vertical signs on driveways/minor roads (Yes - ref.: No)

0.652

0.110

5.943

<  0.001

Poor maintenance of pavements (Yes - ref.: No)

−0.268

0.114

−2.348

0.019

Parking type 1: At one side (ref.: No parking)

0.218

0.131

1.668

0.095

Parking type 2: At both sides (ref.: No parking)

0.258

0.126

2.053

0.040

Parking type 3: Mixed (ref.: No parking)

−1.092

0.556

−1.964

0.050

Cycle paths (Yes – ref.: No)

0.308

0.182

1.694

0.090

Goodness-of-fit measures

 LRT (reference: null model) = 200.96 (df = 11), p < .001; LRT (reference: full model) = 6.64 (df = 11), p = .828

 Nagelkerke R2 = 0.158, AIC = 2609.9

 Over-dispersion parameter (theta) = 1.08 (std. error: 0.17)

Interval of continuous predictors

 AADT: 300–29,960 vehicles/day, L: 30–1510 m

One-way segments

 (Intercept)

−8.794

0.961

−9.151

<  0.001

Ln (AADT)

0.695

0.108

6.434

<  0.001

Ln(L)

0.333

0.095

3.505

<  0.001

Driveways/minor roads per km

0.010

0.003

3.163

0.002

Vertical signs on accesses/minor roads (Yes - ref.: No)

0.477

0.169

2.825

0.005

Poor maintenance of pavements (Yes - ref.: No)

−0.497

0.159

−3.137

0.002

Goodness-of-fit measures

 LRT (reference: null model) = 101.68 (df = 5), p < .001; LRT (reference: full model) = 9.77 (df = 10), p = .460

 Nagelkerke R2 = 0.153, AIC = 1226.8

 Over-dispersion parameter (theta) = 1.01 (std. error: 0.26)

Interval of continuous predictors

 AADT: 300–22,600 vehicles/day, L: 30–1510 m, Density of driveways/minor roads: 0.0–142.9 number/km

Two-way segments

  (Intercept)

−3.764

1.122

−3.356

<  0.001

 Ln (AADT)

0.134

0.117

1.140

0.254

Ln(L)

0.310

0.079

3.944

<  0.001

Vertical signs on accesses/minor roads (Yes - ref.: No)

0.432

0.141

3.074

0.002

Markings 1: Illegible (ref.: No/partially absent/illegible)

0.317

0.177

1.791

0.073

Markings 2: Yes (ref.: No/partially absent/illegible)

0.309

0.175

1.767

0.077

Parking type 1: At one side (ref.: No parking)

0.287

0.156

1.836

0.066

Parking type 2: At both sides (ref.: No parking)

0.441

0.152

2.903

0.004

 Parking type 3: Mixed (ref.: No parking)

−0.973

0.640

−1.521

0.128

Goodness-of-fit measures

 LRT (reference: null model) = 57.69 (df = 7), p <  0.001; LRT (reference: full model) = 5.63 (df = 7), p = 0.584

 Nagelkerke R2 = 0.102, AIC = 1369.2

 Over-dispersion parameter (theta) = 1.32 (std. error: 0.29)

Interval of continuous predictors

 AADT: 1160–29,960 vehicles/day, L: 30–1415 m