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Vasily Kupriyanovsky,Andrey Akimov,Oleg Pokusaev,Vyacheslav Alenkov,Dmitry Namiot,Sergey Sinyagov
Pág. 77 - 122
The article deals with intellectual mobility and mobility as a service in smart cities. Intellectual mobility is defined as the use of technology and data to create links between people, places, and goods in all modes of transport. Mobility as a service ...
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André Soares Lopes, Maurício Orozco-Fontalvo, Filipe Moura, David Vale
Pág. 215 - 240
Mobility as a service is a potential solution to mobility problems; however, it raises concerns about its relationship with socio-territorial inequalities (STIs). This paper contains a systematic literature review of real-world MaaS applications and thei...
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Giuseppe Musolino
Urban mobility is evolving today towards the concept of Mobility as a Service (MaaS). MaaS allows passengers to use different transport services as a single option, by using a digital platform. Therefore, according to the MaaS concept, the mobility needs...
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Corrado Rindone
Urban mobility is one of the main issues in the pursuit of sustainability. The United Nations 2030 Agenda assigns mobility and transport central roles in sustainable development and its components: economic, social, and environment. In this context, the ...
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Antonino Vitetta
Passenger mobility plays an important role in today?s society and optimized transport services are a priority. In recent years, MaaS (Mobility as a Service) has been studied and tested as new integrated services for users. In this paper, MaaS is studied ...
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Faheem Ahmed Malik, Laurent Dala, Muhammad Khalid and Krishna Busawon
This paper develops an intelligent real-time learning framework for the last-mile delivery of mobility as a service in city planning, based upon safe infrastructure use. Through a hybrid approach integrating statistics and supervised machine learning tec...
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Jaroslaw Brach
Pág. 29 - 41
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Vladimir Tregubov
Pág. 73 - 80
The article discusses features of innovative ways to provide urban transport movements based on Mobility as a Service (MAAS). The MAAS allows to realize the technology of intermodal transportations on city transport, which implies a convenient combinatio...
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Jana Pieriegud, Jakub Zawieska
Pág. 39 - 51
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Francis Marco Maria Cirianni, Antonio Comi and Agata Quattrone
The application of artificial intelligence (AI) to dynamic mobility management can support the achievement of efficiency and sustainability goals. AI can help to model alternative mobility system scenarios in real time (by processing big data from hetero...
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Santi Phithakkitnukooon, Karn Patanukhom and Merkebe Getachew Demissie
Dockless electric scooters (e-scooter) have emerged as a green alternative to automobiles and a solution to the first- and last-mile problems. Demand anticipation, or being able to accurately predict spatiotemporal demand of e-scooter usage, is one suppl...
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Alexandros Nikitas, Ioannis Kougias, Elena Alyavina and Eric Njoya Tchouamou
A smarter transport system that caters for social, economic and environmental sustainability is arguably one of the most critical prerequisites for creating pathways to more livable urban futures. This paper aims to provide a state-of-the-art analysis of...
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Alexandros Nikitas, Ioannis Kougias, Elena Alyavina and Eric Njoya Tchouamou
A smarter transport system that caters for social, economic and environmental sustainability is arguably one of the most critical prerequisites for creating pathways to more livable urban futures. This paper aims to provide a state-of-the-art analysis of...
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Francois Belletti, Alexandre M. Bayen
Pág. 1000 - 1024
On-demand traffic fleet optimization requires operating Mobility as a Service (MaaS) companies such as Uber, Lyft to locally match the offer of available vehicles with their expected number of requests referred to as demand (as well as to take into accou...
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I.C. MariAnne Karlsson, Jana Sochor, Helena Strömberg
Pág. 3265 - 3273
This paper presents some of the findings from the trial and evaluation of an example of Mobility-as-a-Service (MaaS). The service, UbiGo, was developed within the Go:Smart project in Gothenburg, Sweden. In total 195 individuals in 83 households became pa...
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Maria Kamargianni, Weibo Li, Melinda Matyas, Andreas Schäfer
Pág. 3294 - 3303
The growing pressure on urban passenger transport systems has increased the demand for new and innovative solutions to increase its efficiency. One approach to tackle this challenge has been the slow but steady shift towards shared mobility services (car...
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Serio Agriesti, Claudio Roncoli and Bat-hen Nahmias-Biran
Agent-based modeling has the potential to deal with the ever-growing complexity of transport systems, including future disrupting mobility technologies and services, such as automated driving, Mobility as a Service, and micromobility. Although different ...
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Ackchai Sirikijpanichkul, Sarintorn Winyoopadit, Anchalee Jenpanitsub
Pág. 3736 - 3755
Selection of transit systems is one of the most complicated decisions as it concerns several decision factors and stakeholders. Governments? objectives are to maximize overall social, economic and environmental benefits including connectivity and mobilit...
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