Publication Detail
Taming the Silicon Steed: Assessing Public Perceptions of Risk Associated with Intelligent Vehicles and Automated Highways
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UCD-ITS-RR-90-11 Research Report |
Suggested Citation:
Keller, John and Paul P. Jovanis (1990) Taming the Silicon Steed: Assessing Public Perceptions of Risk Associated with Intelligent Vehicles and Automated Highways. Institute of Transportation Studies, University of California, Davis, Research Report UCD-ITS-RR-90-11
The paper begins with a sketch of the emerging technologies of intelligent vehicles and automated highways. Risk perception studies are then reviewed and a framework is developed for studies in the IVHS and automated highway areas. The paper concludes with some thoughts about how the experiments might be conducted. This paper draws from the psychological literature to argue that transportation engineers and decision makers should consider the issue of perceived risk when developing and implementing Intelligent Vehicle-Highway Systems.
It is important to understand that there are well-developed methods to study societal perception at risk. While these methods and their application are comparatively contemporary, they have been used to study perceptions of large scale systems as well as detailed components. These methods appear to be readily adaptable to the testing of IVHS risk perception.
The suggested set of surveys is intended to assess the public perceptions of the technological risk of intelligent vehicles and automated highways. These perceptions will influence the public acceptance of these technologies and their consequent market. Ultimately, the usage of IVHS technology is actually affected by these perceptions, and the estimation of benefits must be adjusted accordingly.
It is important to understand that there are well-developed methods to study societal perception at risk. While these methods and their application are comparatively contemporary, they have been used to study perceptions of large scale systems as well as detailed components. These methods appear to be readily adaptable to the testing of IVHS risk perception.
The suggested set of surveys is intended to assess the public perceptions of the technological risk of intelligent vehicles and automated highways. These perceptions will influence the public acceptance of these technologies and their consequent market. Ultimately, the usage of IVHS technology is actually affected by these perceptions, and the estimation of benefits must be adjusted accordingly.