Impacts of vehicle automation in public revenues and transport equity. Economic challenges and policy paths for Buenos Aires

Blas, Frédéric; Giacobone, Gabriel; Massin, Thomas; Tourón, Florencia Rodríguez

doi:10.1016/j.rtbm.2020.100566

Cited by 5 publications

(1 citation statement)

References 16 publications

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“…AVbased services will influence infrastructure and urban space (Crute et al, 2018;Riggs et al, 2019). They will also have implications for public revenues and expenditures (Adler et al, 2019;Blas et al, 2022;Fisher, 2020). According to the ITF's expert survey, AV-based services are expected to positively impact some domains, such as accessibility and safety, and to negatively impact employment by eliminating driver jobs; the expectation for new job creation is mixed.…”

Section: Av Impacts Domains Policy Goals and Deployment Phasesmentioning

confidence: 99%

Making Automated Vehicles Work for Better Transport Services

2023

International Transport Forum Policy Papers

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What we didThis report examines what regulatory changes, policy measures and institutional arrangements are needed to successfully introduce urban transport services based on automated vehicles (AVs). AVs can provide a variety of new transport services that could bring social benefits. To bring these about, more than technological advancement is needed. Under certain circumstances, negative consequences are also possible. A successful introduction of AV-based services will therefore require new regulatory approaches.This report suggests where regulation should be adapted and outlines principles for forward-looking regulation. It offers six pragmatic recommendations for bringing about better transport for citizens. The study is based on two workshops with, and a survey of, experts, a review of the latest literature and several case studies from ITF member countries.MAKING AUTOMATED VEHICLES WORK FOR BETTER TRANSPORT SERVICES: REGULATING FOR IMPACT © OECD/ITF 2023 Share data to ensure integrated transport services but protect passenger data against misuse AV-based transport services generate data related to users and the driving environment. This data must be well protected against any misuse. At the same time, the data must be managed in ways that enable interoperability and data portability to allow the integration of AV-based services with other transport services.

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Section: Av Impacts Domains Policy Goals and Deployment Phasesmentioning

confidence: 99%

Making Automated Vehicles Work for Better Transport Services

2023

International Transport Forum Policy Papers

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A novel ML-MCDM-based decision support system for evaluating autonomous vehicle integration scenarios in Geneva’s public transportation

Zakeri,

Konstantas,

Sorooshian

et al. 2024

Artif Intell Rev

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This paper proposes a novel decision-support system (DSS) to assist decision-makers in the ULTIMO project with integrating Autonomous Vehicles (AVs) in Geneva, Switzerland. Specifically, it aids in selecting the best scenario for incorporating AVs into Geneva’s public transportation system. The proposed DSS is architected on a combined integrated framework that includes a machine learning (ML) algorithm, random forest (RF) algorithm, and three novel multi-criteria decision-making (MCDM) algorithms: (1) Modified E-ARWEN (ME-ARWEN) for selecting the best scenario with high sensitivity; (2) Compromiser—Positive, Neutral, Negative (Compromiser-PNN) for extracting weights from stakeholders, considering their preferences and potential conflicts; and (3) Collective Weight Processor (CWP) for deriving weights from expert opinions. Besides the main objective, this article also aims to: (1) Address the gap in practical DSS software within AV-related studies by providing Python codes of the DSS; (2) Develop a highly sensitive and comprehensive MCDM framework to address the project’s needs; and (3) Employ Artificial Intelligence within the DSS to optimize outputs. By the application of the proposed DSS, four scenarios were evaluated: (1) Full integration of AVs; (2) Partial integration; (3) Pilot project in limited areas; and (4) Delayed integration. The analysis identified partial integration as the best scenario for integrating AVs. Furthermore, comprehensive analyses conducted to validate the DSS outputs demonstrated the reliability of the results.

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The expected speed and impacts of vehicle automation in passenger and freight transport: A Dissensus Delphi study among UK professionals

Hopkins¹,

Schwanen²

2023

Research in Transportation Business & Management

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Impacts of vehicle automation in public revenues and transport equity. Economic challenges and policy paths for Buenos Aires

Cited by 5 publications

References 16 publications

Making Automated Vehicles Work for Better Transport Services

Making Automated Vehicles Work for Better Transport Services

A novel ML-MCDM-based decision support system for evaluating autonomous vehicle integration scenarios in Geneva’s public transportation

The expected speed and impacts of vehicle automation in passenger and freight transport: A Dissensus Delphi study among UK professionals

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