PMID- 29630395
OWN - NLM
STAT- MEDLINE
DCOM- 20190314
LR  - 20190314
IS  - 1538-957X (Electronic)
IS  - 1538-9588 (Linking)
VI  - 19
IP  - 5
DP  - 2018 Jul 4
TI  - Investigating factors influencing drivers' speed selection behavior under reduced 
      visibility conditions.
PG  - 488-494
LID - 10.1080/15389588.2018.1453134 [doi]
AB  - OBJECTIVE: Driving speed is a major concern for driving safety under reduced 
      visibility conditions. Many factors affect speed selection in low visibility, but 
      few studies have been conducted examining drivers' characteristics, particularly 
      in China. The present study aimed to investigate the correlation between drivers' 
      demographic information, driving ability, and speed choice in low-visibility 
      conditions using a sample of Chinese drivers. METHODS: A self-designed driving 
      ability scale was used to assess driving ability in reduced visibility 
      conditions. The reliability and validity of 306 gathered questionnaires were 
      examined in this article, and a structural equation model (SEM) was built to 
      explore the predictors of drivers' speed selection behavior under reduced 
      visibility conditions and to measure the relationships between various factors. 
      RESULTS: Age and driving experience have no direct relationship to speed 
      selection behavior in reduced visibility, but the frequency of using expressways 
      and annual mileage are significantly related to the speed on roads that have a 
      speed restriction of 80 or 120 km/h. Under reduced visibility conditions, driving 
      ability has a significant effect on speed selection behavior, and driving skill 
      (DS) is the most influential on speed selection behavior on roads with a speed 
      limit of 120 km/h; otherwise, the effect of risk perception (RP) does not differ 
      by speed choice on 3 roads with different speed limits. Driving speed in good 
      weather also has a positive influence on speed selection behavior in low 
      visibility. CONCLUSION: Driving ability is directly associated with speed 
      selection in reduced visibility conditions, and some demographic data indirectly 
      influence speed selection. This study provides useful recommendations for 
      drivers' training programs to reduce casualties from accidents in low-visibility 
      conditions.
FAU - Zhang, Weihua
AU  - Zhang W
AD  - a School of Automobile and Traffic Engineering, Hefei University of Technology , 
      Hefei , Anhui Province , China.
FAU - Hu, Zhe
AU  - Hu Z
AD  - a School of Automobile and Traffic Engineering, Hefei University of Technology , 
      Hefei , Anhui Province , China.
FAU - Feng, Zhongxiang
AU  - Feng Z
AD  - a School of Automobile and Traffic Engineering, Hefei University of Technology , 
      Hefei , Anhui Province , China.
FAU - Ma, Changxi
AU  - Ma C
AD  - b School of Traffic and Transportation, Lanzhou Jiaotong University , Lanzhou , 
      Gansu Province , China.
FAU - Wang, Kun
AU  - Wang K
AD  - a School of Automobile and Traffic Engineering, Hefei University of Technology , 
      Hefei , Anhui Province , China.
FAU - Zhang, Xuxin
AU  - Zhang X
AD  - a School of Automobile and Traffic Engineering, Hefei University of Technology , 
      Hefei , Anhui Province , China.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20180517
PL  - England
TA  - Traffic Inj Prev
JT  - Traffic injury prevention
JID - 101144385
SB  - IM
MH  - *Accidents, Traffic/prevention & control
MH  - Adult
MH  - Age Factors
MH  - Automobile Driving/*statistics & numerical data
MH  - China
MH  - *Choice Behavior
MH  - Factor Analysis, Statistical
MH  - Female
MH  - Humans
MH  - Male
MH  - Middle Aged
MH  - Models, Theoretical
MH  - Reproducibility of Results
MH  - Risk-Taking
MH  - Safety
MH  - Surveys and Questionnaires
MH  - *Weather
MH  - Young Adult
OTO - NOTNLM
OT  - Traffic safety
OT  - driving ability
OT  - personal characteristic
OT  - reduced visibility
OT  - speed selection behavior
OT  - structural equation model (SEM)
EDAT- 2018/04/10 06:00
MHDA- 2019/03/15 06:00
CRDT- 2018/04/10 06:00
PHST- 2018/04/10 06:00 [pubmed]
PHST- 2019/03/15 06:00 [medline]
PHST- 2018/04/10 06:00 [entrez]
AID - 10.1080/15389588.2018.1453134 [doi]
PST - ppublish
SO  - Traffic Inj Prev. 2018 Jul 4;19(5):488-494. doi: 10.1080/15389588.2018.1453134. 
      Epub 2018 May 17.