Driver Preference and Level of Trust Related to Real-Time Road Freezing Risk Information

Author:

Ben Khedher Moataz Bellah1,Yang Choong Heon2ORCID,Kim Jin Guk2,Yun Duk Geun2,Shin Sung Pil2

Affiliation:

1. Department of Civil & Environmental Engineering, KICT School, University of Science and Technology, Daejeon, Republic of Korea

2. Department of Infrastructure Safety Research, Korea Institute of Civil Engineering and Building Technology, Goyang-si, Gyeonggi-do 10223, Republic of Korea

Abstract

Bad weather conditions can affect normal driving by substantially hindering visibility. Among all adverse weather conditions, road freezing is probably the most dangerous to drivers because slippery roads reduce surface friction and can lead to loss of vehicle control. This paper evaluates driver preference of receiving real-time road freezing risk information and explores the factors that would most influence drivers’ trust in a future road freezing information service. A survey was conducted in the metropolitan areas of South Korea during January and February 2019. The survey was completed by 231 driver’s license holders of 18 years or older, and the results were used for statistical analysis. According to the survey results, the variable message sign (VMS) is a very important system from the perspective of public benefit. Car-navigation systems are preferred for age categories of 21∼30 and over 50. In addition, ordinal regression was used to analyze the causal relationship between the level of trust regarding road freezing risk information and its controlling factors. The ordered log odds of drivers with previous accident experience due to slippery roads exhibit a higher level of trust in road freezing risk information because the coefficient is positive. Moreover, drivers with a constant commute time show a lower level of trust in road freezing risk information. These findings provide a foundation for planning the scope of future road freezing risk information service, as well as the specific service targets and type of information, especially during the winter season.

Funder

Korea Institute of Civil Engineering and Building Technology

Publisher

Hindawi Limited

Subject

Strategy and Management,Computer Science Applications,Mechanical Engineering,Economics and Econometrics,Automotive Engineering

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