Mobility as a Service and Public Transport: A Rapid Literature Review and the Case of Moovit

Santos, Georgina; Николаев, Н. В.

doi:10.3390/su13073666

Cited by 28 publications

(10 citation statements)

References 29 publications

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“…It should be noted that this new model is not intended to prompt a technological revolution within the transport sector, but a socio-technical transition. MaaS does not bring any technological innovation to the table and, although its name is new, it can be seen as a further step in the quest for integrated mobility [124][125][126]. In summary, the paper aims to emphasise that MaaS must be designed holistically, as each urban dimension affects and is affected by the others.…”

Section: Discussionmentioning

confidence: 99%

MaaS Implications in the Smart City: A Multi-Stakeholder Approach

2023

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Cities worldwide are calling for smart mobility strategies to tackle the negative externalities of their transport networks. Mobility as a Service (MaaS) is expected to introduce a new mobility model that promotes smarter and more sustainable urban futures. Given the novelty of the concept, this paper explores the implications that might arise from the implementation of MaaS in today’s metropolises in relation to the six dimensions of smart cities: smart governance, smart economy, smart mobility, smart environment, smart people, and smart living. To this end, 42 semi-structured interviews with MaaS stakeholders were conducted in Madrid (Spain). Thematic analysis identified a set of 35 urban implications. The success of MaaS requires more than the mere deployment of technologies and must be supported by the reorganisation of institutional structures, the reform of the regulatory scenario, the stimulation of innovation-based entrepreneurship, the promotion of environmental awareness, the encouragement of cultural transition, and the consideration of the public sphere. Overall, valuable insights are identified for policymakers when designing MaaS. Assessment of multiple stakeholders’ perspectives enables a holistic understanding of these strategies and thus maximises their potential to address the limitations of our complex mobility systems in meeting urban sustainability goals.

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Section: Discussionmentioning

confidence: 99%

MaaS Implications in the Smart City: A Multi-Stakeholder Approach

2023

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“…Finally, this model contributes to the emerging literature in Sustainability about the need to improve transit systems and their planning tools to promote sustainability [67][68][69][70][71][72][73][74].…”

Section: Discussionmentioning

confidence: 96%

Optimal Urban Transit Investment Model and Its Application

Sharav

Shiftan

2021

Sustainability

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We present a new urban transit investment model, integrating transport economic theory regarding optimal investment with transport modeling, planning, and network design. The model expands on the theory of optimal transit network planning and investment, accounting for the effects of the investment on accessibility, level of service, and speed. The model seeks long-term optimal transit investment and optimal road pricing simultaneously in an integrated, unified model. To illustrate the advantages of our approach, we applied our empirical model to two case studies, Tel Aviv and Toronto, integrating our theoretical contribution into practice. Our results demonstrate the model’s ability to indicate the optimal transit mode and investment on a corridor level and the total investment required for the city transit network. The model results were compared to the actual and planned transit networks of Tel Aviv and Toronto and showed the model’s capability to produce a good balance of strategic design and network details. The research concludes that applying the right toll with the applicable transit investment is crucial for obtaining an efficient network and performance. This research can direct planners and policymakers in planning urban transport and provide a comprehensive set of guidelines for optimizing the simultaneous investment in mass transit and the congestion toll toward more sustainable cities and transportation systems.

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“…Moovit covers all modes of PT, local bicycle services, ride-hailing (Uber / Lyft), scooters, car-sharing, carpooling, etc. The Moovit app combines information from PT operators and authorities with feedback from the user community to offer travellers a real-time picture, including the best route for their journey ( Santos & Nikolaev, 2021 ). Moovit uses both passive crowdsourced data to improve PT route schedule predictions (e.g., collecting information about actual arrival times of PT lines) and user reports, for instance, on incidents, delays, and other type of information ( Heiskala et al, 2016 ).…”

Section: Methodsmentioning

confidence: 99%