sustainability-logo

Journal Browser

Journal Browser

Mobility as a Service: Perspectives for Large-scale Operations

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 6149

Special Issue Editors


E-Mail Website
Guest Editor
Department of Civil Building and Environmental Engineering, Sapienza, University of Rome, Via Eudossiana 18, 00184 Rome, Italy
Interests: sustainable mobility; non-motorized modes; transit; paratransit; transportation policies
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Research Center of Transport Planning and Traffic Engineering, Institute of Transportation, Vienna University of Technology (TU Wien), 1040 Vienna, Austria
Interests: transport planning; transport policy

E-Mail Website
Guest Editor
Department of Geography, University of Zadar, 23000 Zadar, Croatia
Interests: transport geography; methodics

Special Issue Information

Dear Colleagues,

MaaS—Mobility as a Service, as is often the case in innovation, is still mostly case- or pilot study-based, with long-term impacts on travel behaviors yet to consolidate. To upscale operations, several issues are still far from being fully addressed, from regulations and taxation frameworks to funding mechanisms. Lack of suitable business models and uncertainties in creating an actual market are also to be considered. Moreover, the observation that the majority of the reported cases where MaaS is in place is in Northern Europe infers context maturity, i.e., national or local long-enforced transport policies to disincentivize the use of passenger cars, and efficient multimodal supply.

This seems to suggest that MaaS might not be suitable for any place, as mature or progressive mobility policies, multi-integration options, and willingness to pay appear to be the prerequisites for its implementation. At the same time, MaaS can be an appealing and promising solution wherever there is the need to rebalance modal split and orient the demand towards collective modes.

To switch from the general hype MaaS is associated with, or avoid its vision as a “niche” service or just for the more affluent, this Special Issue shall explore the possibility to move from case-study investigations to more structured analyses and theorizations to promote a comprehensive approach to MaaS implementation, highlighting regulatory barriers or problems; typical cost structures and magnitude of expenditures to operate MaaS ecosystems (with a focus on less well-known but relevant items such as insurance, media, etc.); funding; bundles types and the possibility of including micromobility modes; rail service potential; private vs. public vs. PPP management; policy implications in the user’s transition from passenger to customer; limitations of MaaS among the non-web-literates (in terms of equity and inclusiveness); gender issues; measured environmental benefits from MaaS; customers’ motivations related to environmental consciousness; technical challenges.

Cross-case or comparative studies will be particularly welcome, to highlight non-site-specific requirements and performance to implement MaaS.

The special issue titled “Mobility as a Service: Perspectives for Large-Scale Operations” is aimed at shedding new light on MaaS studies, by shifting the analysis from study cases, so popular in literature, to comprehensive theorizations. This implies focusing on less investigated issues such as the institutional domain to develop MaaS, integration feasibility and affordability, problems of social inclusion, and expected vs. achieved environmental benefits. The purpose of this Special Issue is to collect a set of comparative studies to provide general references in contexts where MaaS seems difficult to operate and enable larger-scale operations where MaaS is already operational, within the scope of innovative policies specifically targeted to increase sustainability in cities.

Prof. Dr. Maria Vittoria Corazza
Dr. Takeru Shibayama
Prof. Dr. Ana Pejdo
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • MaaS
  • MaaS maturity
  • target users
  • cost structures
  • MaaS bundles
  • regulatory frameworks
  • equity

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

19 pages, 5832 KiB  
Article
Mobility-as-a-Service (MaaS) and High-Speed Rail Operators: Do Not Let the Train Pass!
by Amparo Moyano, Carlos Tejero-Beteta and Santos Sánchez-Cambronero
Sustainability 2023, 15(11), 8474; https://doi.org/10.3390/su15118474 - 23 May 2023
Cited by 1 | Viewed by 2109
Abstract
Rail operators are developing their own Mobility-as-a-Service (MaaS) applications for mobility management, integrating all the transport links for door-to-door intermodal journeys. In this context, this paper analyses the main challenges railway operators face when implementing their new MaaS applications on a national scale, [...] Read more.
Rail operators are developing their own Mobility-as-a-Service (MaaS) applications for mobility management, integrating all the transport links for door-to-door intermodal journeys. In this context, this paper analyses the main challenges railway operators face when implementing their new MaaS applications on a national scale, analysing and evaluating the factors influencing the successful implementation of MaaS in cities with high-speed rail services. These factors are related directly to the adaptation of MaaS services to different geographies, from large metropolitan areas to small cities located in rural environments. The differences among all the HSR cities in Spain are related to both socioeconomic and transport systems’ variables. Smaller cities are generally in a more rural/suburban environment, with higher percentages of aged and illiterate inhabitants, who are much more vulnerable to the digital divide. In addition, these areas present very few and/or inefficient public transport options, and practically non-existent shared mobility services, largely limiting the possibility of competing for private car mobility. Our paper’s analysis of all these factors fills a gap in the literature and opens the debate about different approaches and transport policies that rail operators could adopt when entering the MaaS environment. Full article
(This article belongs to the Special Issue Mobility as a Service: Perspectives for Large-scale Operations)
Show Figures

Figure 1

15 pages, 3047 KiB  
Article
A Knowledge-Based AI Framework for Mobility as a Service
by Enayat Rajabi, Sławomir Nowaczyk, Sepideh Pashami, Magnus Bergquist, Geethu Susan Ebby and Summrina Wajid
Sustainability 2023, 15(3), 2717; https://doi.org/10.3390/su15032717 - 2 Feb 2023
Cited by 4 | Viewed by 3200
Abstract
Mobility as a Service (MaaS) combines various modes of transportation to present mobility services to travellers based on their transport needs. This paper proposes a knowledge-based framework based on Artificial Intelligence (AI) to integrate various mobility data types and provide travellers with customized [...] Read more.
Mobility as a Service (MaaS) combines various modes of transportation to present mobility services to travellers based on their transport needs. This paper proposes a knowledge-based framework based on Artificial Intelligence (AI) to integrate various mobility data types and provide travellers with customized services. The proposed framework includes a knowledge acquisition process to extract and structure data from multiple sources of information (such as mobility experts and weather data). It also adds new information to a knowledge base and improves the quality of previously acquired knowledge. We discuss how AI can help discover knowledge from various data sources and recommend sustainable and personalized mobility services with explanations. The proposed knowledge-based AI framework is implemented using a synthetic dataset as a proof of concept. Combining different information sources to generate valuable knowledge is identified as one of the challenges in this study. Finally, explanations of the proposed decisions provide a criterion for evaluating and understanding the proposed knowledge-based AI framework. Full article
(This article belongs to the Special Issue Mobility as a Service: Perspectives for Large-scale Operations)
Show Figures

Figure 1

Back to TopTop