PMID- 38363741
OWN - NLM
STAT- MEDLINE
DCOM- 20240219
LR  - 20240219
IS  - 1932-6203 (Electronic)
IS  - 1932-6203 (Linking)
VI  - 19
IP  - 2
DP  - 2024
TI  - Analysis of coping capacities and cognitive biases of novice drivers-A 
      questionnaire-based study.
PG  - e0297763
LID - 10.1371/journal.pone.0297763 [doi]
LID - e0297763
AB  - Coping capacity is a key aspect of driver-vehicle interaction when drivers 
      observe and make decisions, and is of great importance for drivers. However, 
      different drivers have different self-cognition and assess their driving 
      abilities differently, especially for novice drivers. Based on questionnaire 
      data, this study has investigated the coping capacities of drivers in both static 
      environments and dynamic environments. With the ANOVA analysis method and the 
      structural equation model (SEM), this study has verified the effects of gender 
      and driving factors (driving years, driving frequency, driving time) on drivers' 
      coping capacities based on drivers' self-assessment scores and mutual assessment 
      scores. Drivers' self-assessment scores show significant effects of all factors 
      on drivers' coping capacities, and drivers' mutual assessment scores show 
      significant effects of all factors, excluding driving time, on drivers' coping 
      capacities. Also, it has been found that all drivers in the driving year group 
      have cognitive biases. It seems that first-year drivers are always overconfident 
      with their driving skills, while drivers with a driving experience of more than 
      three years usually score driving skills of themselves and other drivers most 
      conservatively. With increased exposure to various traffic conditions, 
      experienced drivers are more aware of their limitations in dealing with complex 
      traffic situations, while novice drivers do not know their lack of capability to 
      properly respond to any unexpected situation they could encounter.
CI  - Copyright: (c) 2024 Xiang et al. This is an open access article distributed under 
      the terms of the Creative Commons Attribution License, which permits unrestricted 
      use, distribution, and reproduction in any medium, provided the original author 
      and source are credited.
FAU - Xiang, Wang
AU  - Xiang W
AD  - Hunan Key Laboratory of Smart Roadway and Cooperative Vehicle-Infrastructure 
      Systems, Changsha University of Science and Technology, Changsha, Hunan, China.
FAU - Zhang, Yonghe
AU  - Zhang Y
AUID- ORCID: 0009-0002-4219-4125
AD  - Hunan Key Laboratory of Smart Roadway and Cooperative Vehicle-Infrastructure 
      Systems, Changsha University of Science and Technology, Changsha, Hunan, China.
FAU - Pan, Xin
AU  - Pan X
AD  - State Grid Hunan Electric Power company Limited Economic & Technical Research 
      Institute, Changsha, Hunan, China.
AD  - Hunan Key Laboratory of Energy Internet Supply-Demand and Operation, Changsha, 
      Hunan, China.
FAU - Liu, Xuemei
AU  - Liu X
AD  - Hunan Institute of Traffic Engineering, School of Traffic & Transportation 
      Engineering, Hengyang, Hunan, China.
FAU - Xu, Guiqiu
AU  - Xu G
AD  - GuangDong Architectural Design & Research Institute Company Limited, Guangzhou, 
      Guangdong, China.
LA  - eng
PT  - Journal Article
DEP - 20240216
PL  - United States
TA  - PLoS One
JT  - PloS one
JID - 101285081
SB  - IM
MH  - *Accidents, Traffic
MH  - Cognition
MH  - Surveys and Questionnaires
MH  - Bias
MH  - Adaptation, Psychological
MH  - *Automobile Driving
PMC - PMC10871514
COIS- The authors have declared that no competing interests exist.
EDAT- 2024/02/16 18:45
MHDA- 2024/02/19 06:42
PMCR- 2024/02/16
CRDT- 2024/02/16 13:24
PHST- 2023/05/23 00:00 [received]
PHST- 2024/01/06 00:00 [accepted]
PHST- 2024/02/19 06:42 [medline]
PHST- 2024/02/16 18:45 [pubmed]
PHST- 2024/02/16 13:24 [entrez]
PHST- 2024/02/16 00:00 [pmc-release]
AID - PONE-D-23-14880 [pii]
AID - 10.1371/journal.pone.0297763 [doi]
PST - epublish
SO  - PLoS One. 2024 Feb 16;19(2):e0297763. doi: 10.1371/journal.pone.0297763. 
      eCollection 2024.