Analysis of driving adaptability based on psycho-social factors
10.3760/cma.j.issn.1001-8050.2010.06.020
- VernacularTitle:影响驾驶员驾驶适性的社会心理因素分析
- Author:
Ying OU
;
Huaqing MENG
;
Qing QIN
;
Haitang QIU
;
Qinghua LUO
;
Nan LI
;
Pinhong CHEN
;
Yixiao FU
- Publication Type:Journal Article
- Keywords:
Accidents,traffic;
Automobile driving;
Psychology,social;
Driving adaptability
- From:
Chinese Journal of Trauma
2010;26(6):542-545
- CountryChina
- Language:Chinese
-
Abstract:
Objective To discuss the impact of relevant psycho-social factors on the driving adaptability. Methods A total of 870 vehicle drivers were screened out by stratified cluster sampling,and 620 drivers were finally selected for this study after eliminating those who had 1 -2 accidents. The 620 drivers were divided into accident group and non-accident group. Demographic questionnaire, life event scale, SCL-90 Scale and Eysenck Personality Questionnaire were applied to investigate their general condition, life event, mental health and personality. All data were analyzed by t test and stepwise Fisher discriminatory, and then the discriminatory equations of driving eligibility were established. Results The scores of factors including positive life events, negative life events, family events, work events and social events in accident group were 9.62 ± 11.36, 34.53 ± 30.01, 24.05 ± 23.09, 16.78 ± 17. 12 and 2.82 ± 5.07, respectively, which were higher than 4.67 ± 6.25, 6.38 ± 10. 15, 6.48 ± 9.43, 3.96 ±6.55 and 2.02 ± 5.43 respectively in the non-accident group ( P ＜ 0. 01 ). The total SCL-90 score and the scores of all factors in the accident group were higher than those in the non-accident group ( P ＜0. 01 ). The Eysenck Personality Questionnaire scores of the accident group were significantly higher than the non-accident group in N dimension ( 56. 32 ± 8.77 vs. 45.23 ± 8.06 ) and P dimension (52.22 ±10.43 vs. 48.31 ± 9.35 ) ( P ＜ 0. 01 ). Fisher discriminatory equations: Faccident group = 0. 258 × X6 + 0.119 ×X9 +0.637 ×X17 +0.043 × X5-7.476; Fnon-accident group =0. 137 × X6-1. 000 ×X9 + 1.423 ×X17 +0.003× X5-2.601. Total discrimination accuracy of verification was 88.3%, and the total accuracy of prospective discrimination was 88.0%. Conclusions There is clear correlation of driving adaptability with coercion, anxiety, emotion and negative factors. The discriminatory equations are useful for selecting drivers because of high accuracy, and may play an important role in reducing the occurrence of traffic accidents.
