Frameworks for assessing societal impacts of automated driving technology
place - europe, mode - bus, technology - automatic vehicle monitoring, technology - emissions, planning - environmental impact, planning - methods, planning - personal safety/crime, planning - safety/accidents
Automated driving, autonomous vehicles, framework, review, societal impacts
Numerous studies have studied the impacts of automated driving (AD) technology on e.g. accident rates or CO2 emissions using various frameworks. In this paper we present an overview of previous frameworks used for societal impacts and review their advantages and limitations. Additionally, we introduce the Total Impact Assessment (TIA) framework developed by the Swedish Transport Administration and use this framework to evaluate three scenarios for AD bus services in Stockholm. We conclude that the reviewed frameworks cover different aspects of AD technology, and that e.g. cybersecurity and biodiversity are areas largely neglected. Furthermore, most frameworks assume effects to be homogenous, when there may be large variation in e.g. perceived security. The TIA framework does not manage to include all societal aspects of AD technology, but has great benefits and manages to provide important insights of the societal impacts of AD technology, especially how effects may wary for different actors.
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Almlöf, E., Zhao, X., Pernestål, A., Jenelius, E., & Nybacka, M. (2022). Frameworks for assessing societal impacts of automated driving technology. Transportation Planning and Technology, Vol. 45(7), pp. 545-572.