Mobility and logistics are on the verge of a drastic change. Traditionally personal mobility was either private – highly convenient, at a high cost –, or public – less convenient, at a lower cost. In recent decades, technology advances (internet, smart phones, apps) have stimulated mobility solutions that combine public and private transport options, i.e. easier multi-modal solutions and on- demand mobility. Autonomous vehicles (AVs) present further opportunities for highly integrated multi-modal urban mobility services. Large uptake of AVs can improve road capacity, reduce congestion and decrease travel costs (Milakis, Van Arem, & Van Wee, 2017). As a consequence travel demand could increase leading to uncertainty about the positive impact of AVs (Milakis, Van Arem, & Van Wee, 2017). The impact of AVs can also vary depending on the rate of technological development and the support of policy makers (Milakis, Snelder, et al., 2017). Therefore, AVs must be used as a shared mode of transport and serve as a complement to the public transport system to ensure their benefits for society (UITP, 2017). The SPACE (Shared Personalised Autonomous Connected vEhicles) project is a research initiative spearheaded by the UITP set out to identify the actions necessary to ensure that AVs will improve urban mobility services (UITP, 2018). The project involves stakeholders from the global connected and automated mobility industry, defining scenarios that integrate AVs in the existing public transport offer. These scenarios provide the input for the impact assessment of AVs and stakeholders’ engagement. An in-depth understanding of the objectives for each stakeholder group is needed in order to assess the impact of new technology applications. The multi- actor multi-criteria analysis (MAMCA) method is a step-wise approach that takes into account these stakeholder objectives in the early stages of the evaluation process (Macharis et al., 2004, 2009). In the following stages, stakeholder objectives are weighted and linked to one or more measurable indicators. A multi-criteria analysis tool will subsequently allow for an overall ranking of the scenarios. Visualisation of this ranking allows for a comprehensive understand- ing of the essential stakeholder trade-offs. Finally, a sensitivity analysis tests the stability of the ranking in terms of objective weights, scenario emphasis and stakeholder weights. 1 Overall, the approach provides insight into the different stakeholder perspectives on the changing mobility industry. The insights can be applied to evaluate the business models of public transport operators and mobility service providers.
Originele taal-2English
StatusPublished - 10 jun 2019
EvenementUITP Global Public Transport Summit 2019 - Stockholm, Sweden
Duur: 9 jun 201912 jun 2019


ConferenceUITP Global Public Transport Summit 2019
Internet adres


  • Public transport
  • Stakeholder analysis
  • Multi-Criteria Analysis (MCA)

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