An Analysis of Distribution of Traffic Faults in Accidents, Based on Driver’s Age and Gender Eskisehir Case

1. An Analysis on Distribution of Traffic
Faults in Accidents, Based
on Driver’s Age and Gender:
Eskisehir Case
Tanvir Siddike Moin

2. Why We have chosen this paper
 Traffic Accident is a Global Problem and it is increasing day by
day in every country of the world.
 Traffic Accident is the third major cause of death in the world.
 Chi-Square test have been used
 A major conclusion can be drawn between the relationship of
parameters of different factors of traffic accident

3. Layout of the presentation
 Introduction
 Methodology
 Data Analysis
 Chi square Distribution
 Result and Discussion
 Conclusion

4. Introduction
Fundamental Factors Behind Traffic Accident
 Human factor(97%-98%)
I. Age
II. Gender
III. Education
IV. Psychology
 Environmental Factor
 Vehicular Factor

5. An Analysis on Distribution of Traffic Faults in Accidents, Based on Driver’s
Age and Gender: Eskisehir Case (0422042431)
Effects of driver’s features on traffic faults:
1.Young People are involved in more Accidents than
middle aged and older people.
2. male drivers engage in more accidents than female
ones
95, 95%
5, 5%
Internal Tarnsport mode in Turkey
Road Transport
Water and Airways

6. An Analysis on Distribution of Traffic Faults in Accidents, Based on Driver’s
Age and Gender: Eskisehir Case (0422042431)
Accident Scenario of 2009 in Eskisehir city , Turkey:
drivers involved in
accidents
2647
Number of Guilty Drivers 1688
Accident occurred due to
fundamental faults
1192
Accident occurred due to
minor Faults
496
behavior that might be
considered negligence and
carelessness .
fault results from
violation of traffic
rules.
In this paper guilty driver’s Ages and
gender have been Studied in terms of their
Faults.

7. An Analysis on Distribution of Traffic Faults in Accidents, Based on Driver’s
Age and Gender: Eskisehir Case (0422042431)
Methodology:
Trying to find if there is a significant relationship among traffic
faults, ages and genders of those drivers.
Gender
Age
Traffic
Faults
1.Fundamental
Faults
2. Minor faults

8. An Analysis on Distribution of Traffic Faults in Accidents, Based on Driver’s
Age and Gender: Eskisehir Case (0422042431)
Driver’s
Gender
1- Male
2- Female
Driver’s Age
1- 20 or younger
2- between 21 and
30
3- between 31 and
40
4- between 41 and
50
5- between 51 and
60
6- between 61 and
70
7- 71 or older
Fundamental Faults
1- Violation of Red Light
2- Violation of “No Vehicle Entry” Sign
3- Wrong-Way Driving
4- Crashing into the back of a vehicle
5- Faulty Overtaking
6- Faults in Directions and Maneuvers
7- Violation of Traffic Lanes
8- Violation of Passing Priorities at
Intersections
9- Violation of Passing Priorities at Narrow
Roads
10- Violation of Maneuvering Rules
11- Violation of Precautionary Measures
while Parking outside City
12- Bumping into Parked Vehicles
Minor Faults:
27 Minor Faults has
been analyzed .

9. An Analysis on Distribution of Traffic Faults in Accidents, Based on Driver’s
Age and Gender: Eskisehir Case (0422042431)
Analysis:
1. chi-square test has been used
2. Accident data have been analyzed with SPSS 15.0
Statistical Analysis Program
3. Descriptive Statistics-Crosstabs method has been
used.
Gender - Fundamental Fault
Analysis:
93%
7%
Casualty faced by men &
women
Male
Female

10. An Analysis on Distribution of Traffic Faults in Accidents, Based on Driver’s
Age and Gender: Eskisehir Case (0422042431)
both male and female drivers committed fundamental faults in
number 4, 6 and 8 in the same ratio and maximum in number
.These are:
4- Crashing into the back of a vehicle

11. An Analysis on Distribution of Traffic Faults in Accidents, Based on Driver’s
Age and Gender: Eskisehir Case (0422042431)
6- Faults in Directions and
Maneuvers
8- Violation of Passing
Priorities at Intersections

12. Fault
Type
Gender
Total
Male
Femal
e
1 1 0 1
2 1 0 1
3 1 0 1
4 8 0 8
5 1 0 1
6 1 0 1
7 24 2 26
8 1 0 1
9 2 0 2
10 204 19 223
11 119 6 125
12 1 0 1
13 7 1 8
14 9 1 10
15 3 0 3
16 1 0 1
17 43 1 44
18 1 0 1
19 3 0 3
20 7 1 8
21 4 0 4
22 3 0 3
23 5 0 5
24 1 0 1
25 2 0 2
26 9 1 10
27 2 0 2
Total 464 32 496
Both male and female drivers make the minor
fault number 10 and 11.
Major factor in these two minor faults is speed,
and it is also evident that the accidents occur
mostly due to violation of rules on speeding .
Another fault that male drivers make much more
frequently than female ones is number 17.
It is an indicator of over-confidence that men
showed in traffic.
Gender – Minor Fault Analysis

13. Gender – Minor Fault Analysis
10- Failure to decrease vehicle speed while
approaching junctions, curves, hilltops, pedestrian
crossings, level crossings, tunnels, narrow bridges
and vents/outlets and while entering into construction
and maintenance areas.

14. Gender – Minor Fault Analysis
11- Failure to adjust vehicle speed in accordance with
the conditions required by technical characteristics of
vehicle, vision, road, weather and traffic situation.
17- Failure to obey rules in relation to driving along and
changing lanes.

15. Analysis of Ages and Major Faults
Age Group
Total
1 2 3 4 5 6 7
Fault
type
1 2 16 16 16 12 2 0 64
2 2 7 2 4 1 1 1 18
3 0 1 0 0 0 0 0 1
4 14 81 79 54 29 7 1 265
5 1 0 1 0 1 0 0 3
6 13 75 61 60 28 9 3 249
7 1 14 14 15 4 2 0 50
8 16 87 65 59 25 9 4 265
9 0 3 0 1 0 0 0 4
10 5 37 39 38 14 3 1 137
11 0 1 0 0 0 0 0 1
12 10 47 32 27 13 6 0 135
Total 64 369 309 274 127 39 10 1192
0
50
100
150
200
250
300
350
400
0 1 2 3 4 5 6 7 8
Fatality vs Age group

16. Analysis of Ages and Major Faults
4- Crashing into the
back of a vehicle 6- Faults in
Directions and
Maneuvers
8- Violation of
Passing Priorities at
Intersections

17. Analysis of Ages and Minor Faults
Age Group
Total
1 2 3 4 5 6 7
Fault
type
1 0 0 1 0 0 0 0 1
2 1 0 0 0 0 0 0 1
3 0 0 0 1 0 0 0 1
4 0 3 1 3 1 0 0 8
5 1 0 0 0 0 0 0 1
6 0 1 0 0 0 0 0 1
7 1 9 6 7 2 1 0 26
8 0 0 0 1 0 0 0 1
9 0 1 0 1 0 0 0 2
10 12 90 53 38 23 6 1 223
11 5 42 42 22 11 3 0 125
12 0 0 0 0 1 0 0 1
13 1 1 4 2 0 0 0 8
14 0 5 3 1 1 0 0 10
15 0 1 0 1 1 0 0 3
16 0 1 0 0 0 0 0 1
17 2 22 4 9 5 2 0 44
18 0 0 1 0 0 0 0 1
19 0 2 1 0 0 0 0 3
20 2 2 1 2 0 1 0 8
21 0 2 0 1 0 1 0 4
22 0 1 0 1 1 0 0 3
23 0 1 4 0 0 0 0 5
24 0 0 0 1 0 0 0 1
25 0 0 1 1 0 0 0 2
26 1 4 3 0 2 0 0 10
27 0 0 0 0 2 0 0 2
Total 26 188 125 92 50 14 1 496
0
20
40
60
80
100
120
140
160
180
200
0 1 2 3 4 5 6 7 8
FATALITY VS AGE GROUP

18. • 10- Failure to decrease vehicle speed while approaching junctions, curves, hilltops, pedestrian
crossings, level crossings, tunnels, narrow bridges and vents/outlets and while entering into
construction and maintenance areas,
• 11- Failure to adjust vehicle speed in accordance with the conditions required by technical
characteristics of vehicle, vision, road, weather and traffic situation,
Analysis of Ages and Minor Faults

19. Chi-Square Test
 Analyzed whether there is a significant
relationship between the drivers’ ages and the
accident fault types.
 Analyzed whether there is a significant
relationship between the drivers’ genders and the
accident fault types.
 Crosstabs analysis in SPSS program have been
used.

20. Chi-Square Test on Driver’s Gender
Significance level p: 0.05
Hypothesis of the research
H0: Driver’s gender has a significant effect on the fundamental faults
H1: Driver’s gender does not have a significant effect on the fundamental
faults
Asymp. Sig. (0.027) < Significance level p (0.05)
Null hypothesis H0 is accepted; So there is a significant relationship
between the drivers’ gender and the fundamental faults.
Chi-Square Tests
Value Degrees of
freedom(df)
Asymp. Sig.
(2-sided)
Pearson Chi-
Square
21.701 11 0.027
N of Valid Cases 1192

21. Chi-Square Test on Driver’s Age
Significance level p: 0.05
Hypothesis of the research:
H0: The driver’s age has a significant effect on the fundamental faults
H1: The driver’s age does not have a significant effect on the fundamental
faults
Asymp. Sig. (0.000) < Significance level p (0.05)
Null hypothesis H0 is accepted; So there is a significant relationship
between the drivers’ gender and the fundamental faults.
Chi-Square Tests
Value Degrees of
freedom(df)
Asymp. Sig.
(2-sided)
Pearson Chi-
Square
194.224 66 0.000
N of Valid Cases 1192

22. Results and Comments
 1572 accidents occurred in
Eskisehir in 2009 were
analyzed.
 Examination done by
Eskisehir police department.
 Frequency distribution of
major faults and minor
faults were analyzed.
 SPSS crosstabs analysis.
 Chi square distribution.
Shahriar Islam
0422042403

23. Results and Comments
Violation of
passing
priorities at
intersection
More
involvement
of men
Minor fault
10
committed
by both men
and women
Fundamental
faults mostly
committed by
age group 2
Least
minor
fault by
age group
7
Most
minor
faults by
age
group 2

24. Conclusions and Limitations
Chi-squared
significance test.
Significant
Relationships
among, genders,
age and fault type..
Problem with male
drivers.
Female drivers less
accident prone.
Analysis of 2009
Scenario.
Only analysis of
motor vehicles.

25. Thank you!