Unintended Effects of Autonomous Driving: A Study on Mobility Preferences in the Future
By Christina Pakusch, G. Stevens, A. Boden, Paul Bossauer. Sustainability, 2018
147 citations recorded by the source corpus.
Innovations in the mobility industry such as automated and connected cars could significantly reduce congestion and emissions by allowing the traffic to flow more freely and reducing the number of vehicles according to some researchers. However, the effectiveness of these sustainable product and service innovations is often limited by unexpected changes in consumption: some researchers thus hypothesize that the higher comfort and improved quality of time in driverless cars could lead to an increase in demand for driving with autonomous vehicles. So far, there is a lack of empirical evidence supporting either one or other of these hypotheses. To analyze the influence of autonomous driving on mobility behavior and to uncover user preferences, which serve as indicators for future travel mode choices, we conducted an online survey with a paired comparison of current and future travel modes with 302 participants in Germany. The results do not confirm the hypothesis that ownership will become an outdated model in the future. Instead they suggest that private cars, whether conventional or fully automated, will remain the preferred travel mode. At the same time, carsharing will benefit from full automation more than private cars. However, the findings indicate that the growth of carsharing will mainly be at the expense of public transport, showing that more emphasis should be placed in making public transport more attractive if sustainable mobility is to be developed.
Subfields: Automotive Engineering, Renewable Energy, Sustainability and the Environment, Transportation
View Paper: https://www.semanticscholar.org/paper/be7b08605eb447948de221e1969af3cb8ae286d9
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In Automotive Engineering
Citations in the corpus
- Exploring the Factors Affecting Mode Choice Intention of Autonomous Vehicle Based on an Extended Theory of Planned Behavior—A Case Study in China (2019, background): “In the long term, with the popularity of AV technology and the increase in AV penetration on the road, AVs and SAVs could dramatically reduce congestion caused by human driving behavior and improve the road transportation efficiency [10,14,15].”