Potential impacts of institutional dynamics on the development of automated vehicles: Towards sustainable mobility?
Open accessAbstract
Most experts agree that automated vehicles (AV) will be commercialized sooner or later and that this will lead to far-reaching changes in the mobility system. However, it is still open whether these developments will lead to more sustainable transport systems. AVs may render private car ownership more attractive and therefore intensify car-oriented mobility patterns, or may increase the attractiveness of public transport when mostly used as robo-taxis. Once development has started to move in a specific direction, self-reinforcing dynamics and path-dependencies may unfold. Therefore, it is important to analyze which factors may influence the direction of path-dependencies. We argue that understanding emerging path-dependencies requires an understanding of the interrelated technical, economic and societal dynamics. We draw on recent insights into societal dynamics in sociotechnical regimes, drawn from sustainability transition research, to identify potential development trajectories of automated driving due to changes in what is conceptualized as normative-cognitive institutions. We introduce an approach to map such institutional dynamics based on recent data from developments in the German mobility sector. Results demonstrate that the direction of future AV pathways may depend on such institutional developments. Both a reinforcing and a disruptive pathway are plausible. Governance strategies that aim to tap the potential of AVs in supporting sustainable urban mobility should consider institutional dynamics more explicitly.
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The primary uses of AVs in urban areas are last-mile issues, traffic reduction, and the enhancement of public transit.
“Furthermore, the primary uses of AVs in urban areas are last-mile issues, traffic reduction, and the enhancement of public transit [10,11].”
From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [11]
Section 2 describes robo-taxis and small buses as possible complements to public transport that could reduce individual car travel; section 5.1 likewise presents improved public transport in one scenario. Neither section identifies these as the primary urban uses of AVs or mentions last-mile service. The paper also considers a scenario in which AVs increase car traffic and weaken public transport. (LLM, conf=0.84)
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Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature
Makahleh, H. Y., Ferranti, E. J. S., & Dissanayake, D. (2024) · Future Transportation · doi:10.3390/futuretransp4020017 · Cited by 55 · see citing works
- Authors
- Schippl, J., Truffer, B., & Fleischer, T.
- Affiliations
- Karlsruhe Institute of Technology (DE)
- Utrecht University (NL)
- Corresponding author
- Schippl, Jens
- Venue
- Transportation Research Interdisciplinary Perspectives
- Publisher
- Elsevier BV
- Published
- 2022-06
- Volume
- 14
- Pages
- 100587
- ISSN
- 2590-1982 (ISSN-L)
- OpenAlex
- W4221037213
- Cited by
- 25
- References
- 1
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 10 · 2023: 7 · 2022: 1
- FWCI
- 1.64
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Transportation Research Interdisciplinary Perspectives (publishedVersion, cc-by)
- Repository KITopen (Karlsruhe Institute of Technology) (submittedVersion, cc-by)
- DORA Eawag (Swiss Federal Institute of Aquatic Science and Technology (Eawag)) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- KITopen (cc-by)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Physical Sciences › Environmental Science › Global and Planetary Change › Sustainability and Climate Change Governance
- Keywords
- autonomous vehicles, institutional dynamics, path dependence, self-reinforcing dynamics, sustainable transport, socio-technical regimes, developmental trajectories, car ownership, public transport, transport governance
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