Driver Preference and Level of Trust Related to Real-Time Road Freezing Risk Information
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 pr...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/4791657 |
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| _version_ | 1850177071298379776 |
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| author | Moataz Bellah Ben Khedher Choong Heon Yang Jin Guk Kim Duk Geun Yun Sung Pil Shin |
| author_facet | Moataz Bellah Ben Khedher Choong Heon Yang Jin Guk Kim Duk Geun Yun Sung Pil Shin |
| author_sort | Moataz Bellah Ben Khedher |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-aebab9e3a5dc42c88cc6d8606b536cda |
| institution | OA Journals |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-aebab9e3a5dc42c88cc6d8606b536cda2025-08-20T02:19:06ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/47916574791657Driver Preference and Level of Trust Related to Real-Time Road Freezing Risk InformationMoataz Bellah Ben Khedher0Choong Heon Yang1Jin Guk Kim2Duk Geun Yun3Sung Pil Shin4Department of Civil & Environmental Engineering, KICT School, University of Science and Technology, Daejeon, Republic of KoreaDepartment of Infrastructure Safety Research, Korea Institute of Civil Engineering and Building Technology, Goyang-si, Gyeonggi-do 10223, Republic of KoreaDepartment of Infrastructure Safety Research, Korea Institute of Civil Engineering and Building Technology, Goyang-si, Gyeonggi-do 10223, Republic of KoreaDepartment of Infrastructure Safety Research, Korea Institute of Civil Engineering and Building Technology, Goyang-si, Gyeonggi-do 10223, Republic of KoreaDepartment of Infrastructure Safety Research, Korea Institute of Civil Engineering and Building Technology, Goyang-si, Gyeonggi-do 10223, Republic of KoreaBad 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.http://dx.doi.org/10.1155/2020/4791657 |
| spellingShingle | Moataz Bellah Ben Khedher Choong Heon Yang Jin Guk Kim Duk Geun Yun Sung Pil Shin Driver Preference and Level of Trust Related to Real-Time Road Freezing Risk Information Journal of Advanced Transportation |
| title | Driver Preference and Level of Trust Related to Real-Time Road Freezing Risk Information |
| title_full | Driver Preference and Level of Trust Related to Real-Time Road Freezing Risk Information |
| title_fullStr | Driver Preference and Level of Trust Related to Real-Time Road Freezing Risk Information |
| title_full_unstemmed | Driver Preference and Level of Trust Related to Real-Time Road Freezing Risk Information |
| title_short | Driver Preference and Level of Trust Related to Real-Time Road Freezing Risk Information |
| title_sort | driver preference and level of trust related to real time road freezing risk information |
| url | http://dx.doi.org/10.1155/2020/4791657 |
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