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| Tekkaya, A. Erman |
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| Förster, Peter |
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| Mudimu, George T. |
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| Shibata, Lillian Marie |
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| Talabbeydokhti, Nasser |
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| Laffite, Ernesto Dante Rodriguez |
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| Schöpke, Benito |
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| Gobis, Anna |
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| Alfares, Hesham K. |
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| Münzel, Thomas |
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| Joy, Gemini Velleringatt |
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| Oubahman, Laila |
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| Filali, Youssef |
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| Philippi, Paula |
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| George, Alinda |
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| Lucia, Caterina De |
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| Avril, Ludovic |
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| Belachew, Zigyalew Gashaw |
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| Kassens-Noor, Eva | Darmstadt |
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| Cho, Seongchul |
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| Tonne, Cathryn |
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| Hosseinlou, Farhad |
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| Ganvit, Harsh |
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| Schmitt, Konrad Erich Kork |
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| Grimm, Daniel |
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Bulteau, Julie
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (10/10 displayed)
- 2023Encouraging carpooling for commuting in the Paris area (France): which incentives and for whom?citations
- 2023The impact of COVID-19 lockdown measures on gendered mobility patterns in Francecitations
- 2022What is the potential impact of the transition from traditional transport to new mobility models (electric automated minibuses) in European cities?
- 2022The role of commuter rail accessibility in the formation of residential land values: exploring spatial heterogeneity in peri-urban and remote areascitations
- 2021Economic Assessment of Services with Intelligent Autonomous Vehicles: EASI-AVcitations
- 2021Encouraging carpooling for commuting in the Paris area (France): which incentives and for whom?citations
- 2021Modelling context-specific relationships between neighbourhood socioeconomic disadvantage and private car usecitations
- 2017Enhancing sustainable mobility through a multimodal platform: would travellers pay for it?citations
- 2015Potential demand for multimodal information. Evidence from the Plateau-de-Saclay
- 2014Revisiting the bottleneck congestion model by considering environmental costs and a modal policycitations
Places of action
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document
Economic Assessment of Services with Intelligent Autonomous Vehicles: EASI-AV
Abstract
While most of the current research on autonomous public transport focuses on improving operational and technical aspects, as well as tackling policy and user behavioral factors, the integration of autonomous buses into public networks is mainly dependent on costs and breakeven points (both for operators and local governments). Research quantifying costs and return on investment specifically in academic settings are sparse. This chapter aims to introduce a simulation tool: EASI-AV, designed as a decision-making tool to support public policies on the decision of implementing innovative mobility services. EASI-AV proposes to (1) assess the global economic impacts of deploying fleets of AVCTs in comparison with traditional public transport modes, and (2) help local authorities to build scenarios integrating autonomous buses into their public network and imagine new business models. The simulation is based on the Total Cost of Ownership (TCO) approach and includes four aspects that may be used independently: the fleet size dimensioning, the TCO calculation with internal costs and local externalities, the business model simulation, and the global impact assessment in comparison with other transport modes. EASI-AV was tested with real data from pilot sites, and the results prove it to be fully relevant.
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