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Table 1 Distribution of crash sample characteristics

From: Exploring background risk factors for fatigue crashes involving truck drivers on regional roadway networks: a case control study in Jiangxi and Shaanxi, China

Risk contributes

Jiangxi (N = 5447)

Shaanxi (N = 3721)

Frequency

%

Frequency

%

Driver factors

Gender

    

 Male

5014

92.05

3498

94.01

 Female

433

7.95

223

5.99

Marital status

 Single/divorced/widow

389

7.14

182

4.89

 Living with a partner

5058

92.86

3539

95.11

Agea

 Young

1031

18.93

556

14.94

 Adult

3504

64.33

2674

71.86

 Old

912

16.74

491

13.20

Driving experience in yearsb

 Novice

1594

29.26

923

24.81

 Practician

2432

44.65

1928

51.81

 Proficient

1053

19.33

653

17.55

 Expert

368

6.76

217

5.83

Driver’s occupation

 Employed workers

4979

91.41

3291

88.44

 Self-employed

367

6.74

364

9.78

 Military and policy

30

0.55

14

0.38

 Others

71

1.30

52

1.40

Vehicle factors

Vehicle type

 Goods vehicles

5146

94.47

3511

94.36

 Other vehicle types

301

5.53

210

5.64

Commercial transport

 Yes

5154

94.62

3495

93.93

 No

293

5.38

226

6.07

Vehicle insurance

 Yes

5058

92.86

3343

89.84

 No

389

7.14

378

10.16

Vehicle safety state

 Fit

4791

87.96

3318

89.17

 Unfit

656

12.04

403

10.83

Vehicle brake performance

 Good

4285

78.67

3009

80.87

 Poor

1162

21.33

712

19.13

Roadway factors

Road typec

 Expressway

2262

41.53

1384

37.19

 The first class highway

1567

28.77

984

26.44

 The second class highway

1053

19.33

813

21.85

 The third class highway

226

4.15

188

5.05

 The fourth class highway

47

0.86

96

2.58

 Rural road

28

0.51

41

1.10

 Urban roadd

264

4.85

215

5.78

Highway specific locationse

 Sharp curve

1087

19.96

985

26.47

 Long steep grade

2361

43.34

1827

49.10

 Interchange

49

0.90

28

0.75

 Highway ramp

112

2.06

131

3.52

 Weaving section

317

5.82

247

6.64

 Tunnel

429

7.88

825

22.17

 Bridge

833

15.29

351

9.43

 Toll station

33

0.61

22

0.59

Urban road specific locationsf

 Intersectiong

104

39.39

123

57.21

 Elevated road

13

4.92

19

8.84

 Ramp

21

7.95

15

6.98

 Under-crossing tunnel

62

23.48

44

20.47

 Others

69

26.14

35

16.28

Pavement condition

 Dry

3631

66.66

2548

68.48

 Wet

1816

33.34

1173

31.52

Environment factors

Time of crash

 0 am–6 am

1907

35.01

1211

32.55

 6 am–8 pm

2661

48.85

1824

49.02

 8 pm–12 pm

879

16.14

686

18.44

Day of the weekh

 Weekdays

4339

79.66

3076

82.67

 Weekends

1108

20.34

645

17.33

Seasonsi

 Spring

936

17.18

347

9.33

 Summer

1869

34.31

1422

38.22

 Autumn

577

10.59

326

8.76

 Winter

2065

37.91

1626

43.70

Public holidayj

 Yes

189

3.47

79

2.12

 No

5258

96.53

3642

97.88

Weathercondition

 Fine

3725

68.39

2859

76.83

 Adverse

1722

31.61

862

23.17

Visibility condition

 Good

3950

72.52

3108

83.53

 Bad

1497

27.48

613

16.47

Traffic violations k

Alcohol-impaired driving

 Drunk

281

5.16

167

4.49

 Not drunk

5166

94.84

3554

95.51

Disregarding the speed limits

 Speeding

3871

71.07

2976

79.98

 Not speeding

1576

28.93

745

20.02

Overloading behavior

 Overloading

3672

67.41

2405

64.63

 Not overloading

1775

32.59

1316

35.37

Risky following

 Keep unsafe distance

1716

31.50

1359

36.52

 Keep safe distance

3731

68.50

2362

63.48

Failure to use seat belt

 Yes

1033

18.96

862

23.17

 No

4414

81.04

2859

76.83

Cell phone use

 Use

582

10.68

589

15.83

 Not use

4865

89.32

3132

84.17

Illegal meeting

 Performed

649

11.91

337

9.06

 Not performed

4798

88.09

3384

90.94

Crash characteristics

Injury outcome

 Slight injury

849

15.59

533

14.32

 Moderate injury

1327

24.36

1188

31.93

 Serious injury

1775

32.59

1083

29.11

 Fatal injury

1496

27.46

917

24.64

Type of collision

 Head-on collision

1181

21.68

932

25.05

 Sideswipes

1427

26.20

1130

30.37

 Rear-end collision

1326

24.34

803

21.58

 Rollover

408

7.49

171

4.60

 Runoff

944

17.33

606

16.29

 Othersl

161

2.96

79

2.12

Collision partner

 A single truck

846

15.53

696

18.70

 A truck and a passenger vehiclem

1378

25.30

451

12.12

 Two trucks

307

5.64

282

7.58

 Multiple vehiclesn

2735

50.21

2117

56.89

 Truck(s) and vulnerable road user(s)o

181

3.32

175

4.70

  1. aDivided into three groups: young (≤30 years old), adult (30–55 years old), and old (≥55 years old)
  2. bDivided into four groups: novice (≤3 years), practician (3–5 years), proficient (6–15 years), and expert (≥15 years)
  3. cAccording to the Technical Standards for Highway (JTG B01 2003), released by the Ministry of Transport of the People’s Republic of China in 2003
  4. dIncluding urban expressways, arterials, sub-arterials and minor streets and roads
  5. eFrequent occurrence locations of crashes of highways are also known as “black spot”. Here a crash may be attributed to two or more contributing factors. For example, a truck runs off the road at a sharp curve while driving along a long steep grade
  6. fCrashes associated with one roadway factor/total crashes occurring on urban roads
  7. gIncluding road level crossing (with and without signal controlled), under-crossing, and interchange
  8. hWeekends = 17:00 Friday to 24:00 Sunday; weekdays = 0:00 Monday to 16:59 Friday
  9. iSpring = March to May; summer = June to August; autumn = September to November; winter = December to February
  10. jIncluding New Year, Chinese New Year, Qing Ming Festival, International Labor Day, Dragon Boat Festival, Mid-Autumn Festival, and National Day
  11. kOnly typical risky driving behaviors were included in this study, based on the original TADS records
  12. lIncluding those involving vulnerable road users, etc
  13. mPassenger vehicles refer to passenger cars and coaches; Here coach involved crashes account for a very small percentage in crash sample
  14. nReferring to three vehicles or more with at least one truck
  15. oIncluding pedestrians, bicyclists (considering those on electric bikes or low speed vehicles such as scooters, mopeds and agricultural tricycles et al.), motorcyclists or pedal cyclists