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EVALUATING THE IMPACT OF AUTONOMOUS VEHICLES ON ACCESSIBILITY USING AGENT-BASED SIMULATION —A CASE STUDY OF GUNMA PREFECTURE
Open accessAbstract
The emergence of autonomous vehicles is expected to shape the urban transportation system in various ways. In this study, a large-scale agent-based disaggregate simulation model, MATSim, is employed to measure the impact of autonomous vehicles on accessibility changes. This study used disaggregate spatial data from the Gunma Prefecture Person Trip Survey as the initial travel demand input for the model. Two new autonomous transport modes, namely shared autonomous vehicle (SAV) and private autonomous vehicle (PAV), are included in the simulation, in addition to the existing human-driven private vehicles. A scenario analysis is conducted using fleet size of SAV, ownership of PAV, operation cost, value of time changes as the key variables in the scenario setting. Based on the final travel demand results, a Hansen-type accessibility analysis is conducted, providing quantitative evidence to measure the potential impact of autonomous vehicles on accessibility changes in Japanese regional cities. Results suggest a considerable market share of AVs in scenarios with positive assumptions, and an overall accessibility increase in the scenario where PAVs were introduced. Particularly, suburban areas seemed to enjoy more accessibility gains, which might result in further urban sprawl in the future.
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“Private AVs are by far the most important factor expected to increase accessibility in suburban and rural areas (e.g., [5,50,51]).”
From Implications of Autonomous Vehicles for Accessibility and Transport Equity: A Framework Based on Literature (2021) · cites this paper as [50]
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In the citing paper
“Besides private AVs, the spread of shared AVs with low fares could increase accessibility in suburban and rural areas (e.g., [9,50,52]).”
From Implications of Autonomous Vehicles for Accessibility and Transport Equity: A Framework Based on Literature (2021) · cites this paper as [50]
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Cited by
Sorted by citations
Dianin, A., Ravazzoli, E., & Hauger, G. (2021) · Sustainability · doi:10.3390/su13084448 · Cited by 59
“Also in later works (as [50,51]), accessibility sprawl is often expected.”
BackgroundMethodInfluentialShared autonomous vehicles and agent based models: a review of methods and impacts
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Mirzahossein, H., & Mashhadloo, M. (2024) · Scientific Reports · doi:10.1038/s41598-024-60069-8 · Cited by 24
Metadata
- Authors
- LUO, L., TRONCOSO PARADY, G., TAKAMI, K., & HARATA, N.
- Affiliations
- The University of Tokyo (JP)
- Dept. of Urban Eng., The University of Tokyo
- Venue
- Journal of JSCE
- Publisher
- Japan Society of Civil Engineers
- Published
- 2019
- Volume
- 7
- Issue
- 1
- Pages
- 100-111
- ISSN
- 2187-5103 (ISSN-L)
- OpenAlex
- W2962769664
- Cited by
- 24
- References
- 29
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 10 · 2023: 2 · 2022: 6 · 2021: 3
- FWCI
- 1.03
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Journal of JSCE (publishedVersion)
- Topics
- Social Sciences › Transportation › Transportation and Mobility Innovations
- Social Sciences › Transportation › Transportation Planning and Optimization
- Social Sciences › Transportation › Urban Transport and Accessibility
- Keywords
- autonomous vehicles, accessibility (transport and spatial geography), shared autonomous vehicles, MATSim, agent-based modeling, travel demand, value of time, fleet size, urban sprawl, regional cities, Gunma Prefecture
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