Identifying latent mobility as a service preference segments among college students DOI Creative Commons
Willy Kriswardhana, Domokos Esztergár-Kiss

European Transport Research Review, Journal Year: 2025, Volume and Issue: 17(1)

Published: April 17, 2025

Language: Английский

Transportation 5.0: The DAO to Safe, Secure, and Sustainable Intelligent Transportation Systems DOI
Fei‐Yue Wang, Yilun Lin, Pétros Ioannou

et al.

IEEE Transactions on Intelligent Transportation Systems, Journal Year: 2023, Volume and Issue: 24(10), P. 10262 - 10278

Published: Sept. 11, 2023

In 2014, IEEE Intelligent Transportation Systems Society established a Technical Committee on 5.0 with the mission of promoting and transforming deployment advanced innovative technologies, especially Artificial Intelligence in transportation. This paper briefly summarizes our main research findings over last decade. Foundation Models, Scenarios Engineering, Operating have been identified as directions for development next-generation intelligent transportation systems.

Language: Английский

Citations

95

Risky choice and diminishing sensitivity in MaaS context: A nonlinear logit analysis of traveler behavior DOI
Jianing Liu, Sisi Jian, Chenyang Wu

et al.

Transportation Research Part C Emerging Technologies, Journal Year: 2024, Volume and Issue: 162, P. 104603 - 104603

Published: April 4, 2024

Language: Английский

Citations

10

Heterogeneity in transport mode choice of college students at a university based on the MaaS concept DOI Creative Commons
Willy Kriswardhana, Domokos Esztergár-Kiss

Travel Behaviour and Society, Journal Year: 2024, Volume and Issue: 36, P. 100801 - 100801

Published: April 8, 2024

As part of the younger generation, college students show flexibility in transport mode choice and are more interested trying alternative mobility solutions. Mobility as a Service (MaaS) has been gaining popularity since it integrates diverse opportunities into single digital service. Although studies on available, inclusion shared services MaaS concept is scarcely found. This study an initial effort to examine heterogeneity specific user group by incorporating modes while socio-demographic attitudinal factors included covariates Latent Class Cluster Analysis (LCCA) modeling framework. research draws survey distributed at Budapest University Technology Economics (BME), identifies three clusters students, where those who first cluster travel public transport, walking, train, coach frequently. The results indicate that university frequent service users adopting MaaS, fall car primarily consists high-income workers showing least interest green lifestyle. Future MaaS-related could benefit from this regarding how design implement such with focus. Research which sample broader population should be undertaken generalize findings allow constructing policy related statements.

Language: Английский

Citations

7

Creation of the MaaS readiness index with a modified AHP-ISM method DOI Creative Commons

Attila Aba,

Domokos Esztergár-Kiss

Communications in Transportation Research, Journal Year: 2024, Volume and Issue: 4, P. 100122 - 100122

Published: April 2, 2024

Smart mobility solutions are trending in the domain realized through pilot activities and commercial solutions, but there is a lack of broad framework defining readiness to introduce such specific area. In this research, smart examined perspective Mobility-as-a-Service (MaaS) scheme that an adequate representation maturity region regarding including technology, business, coopetition aspects. These three aspects define feature selection, whereas surveys used collect input data from local experts (LEs). For weighting features, analytic hierarchy process (AHP) with modified interpretive structural modeling (ISM). With modification, expert-friendly developed without affecting results. The elaborated MaaS index (MRI) applied six regions different types related demonstrate MRI as comparison tool between ex-ante ex-post activities. Graph (ISM-G) methodology requites remarkably less work evaluators compared ISM, while no important difference appeared can support evaluations, ISM-G be widely decision-making.

Language: Английский

Citations

6

University students’ adoption of mobility as a service with respect to user preferences and group differences DOI Open Access
Willy Kriswardhana, Domokos Esztergár-Kiss

Journal of Public Transportation, Journal Year: 2023, Volume and Issue: 26, P. 100079 - 100079

Published: Dec. 19, 2023

Mobility as a Service (MaaS) integrates various transport modes into single comprehensive service; thus, decrease in the inconvenience of using multiple mobility services is expected. This research focuses on students Budapest University Technology and Economics (BME) aims to complete background study MaaS, which offers vision how future MaaS studies could be designed conducted. The work investigates influencing factors BME students' acceptance MaaS. preferences are categorized two groups based travel captivity usage shared services. An online survey was conducted where total ca. 700 valid responses were collected. Structural equation modeling (SEM) performed examine causal relationship between variables. identifies effort expectancy most influential factor that affects behavioral intention adopt On other hand, there no significant effect group differences acceptance, except for individual innovation tech-savviness regarding mobility. Conducting with samples obtained from general population advised thus resolving generalizability issue current research.

Language: Английский

Citations

14

Mobility-as-a-Feature (MaaF): Why and how ride-sharing platforms have evolved into super apps DOI Open Access
Marc Hasselwander

Transportation research procedia, Journal Year: 2024, Volume and Issue: 78, P. 297 - 303

Published: Jan. 1, 2024

With Mobility-as-a-Feature (MaaF), transportation scholars propose an extension of the Mobility-as-a-Service (MaaS) concept. Leveraging ongoing trend platformization, MaaF intends to integrate mobility with unrelated services such as food delivery, grocery financial services, or e-commerce and shopping. In this research, I show that some ride-sharing platforms basically already provide functionality. Uber, Grab, Didi Chuxing, Bolt, others have transformed into super apps, offering a wide range beyond their core business. The findings study offer valuable insights which are actively pursuing app strategy shed light on motivations driving expansion diversified service offerings. While phenomenon apps is established in global South, it now gaining interest Europe U.S. This could initiate significant shift how people access other emphasizing necessity including future lines research.

Language: Английский

Citations

6

“A reservation I have is that presumably no travel app will improve the actual services”: Place based perspectives of mobility as a service DOI Creative Commons
Rich C. McIlroy

Transportation Research Part F Traffic Psychology and Behaviour, Journal Year: 2024, Volume and Issue: 102, P. 424 - 448

Published: March 21, 2024

Understanding the perceptions and needs of different types prospective end-users Mobility as a Service (MaaS) is an important step towards successful scheme customer-facing app design. The travel behaviour literature typically favours quantitative approaches; however, qualitative methods can offer unique insights in this regard. To end, article reports on series online focus groups held with 146 residents region which cusp being rolled out. Participants' MaaS, terms their information needs, incentives that might help them use it, challenges they perceive, were explored respect to place residence: urban, peri-urban, or rural. Inductive thematic analysis over 30,000 words text lead identification variety themes sub-themes. Accurate, reliable, up-to-date core requirement for all. For those urban areas, presentation multiple journey options, associated time cost, are key. peri-urban detailed route facilitates linking private transport public transport, facilities available at stations stops, particular significance. rural fundamental service provision limitations hamper potential traditional, urban-focussed MaaS schemes reliant networks. A system will be distinct from lesser traditional represent target group encouraging modal shift improving sustainability.

Language: Английский

Citations

5

A mobility pilot development process experimented through a MaaS pilot in Budapest DOI Creative Commons

Attila Aba,

Domokos Esztergár-Kiss

Travel Behaviour and Society, Journal Year: 2024, Volume and Issue: 37, P. 100846 - 100846

Published: June 12, 2024

Language: Английский

Citations

5

Mobility as a Service (MaaS) in the Global South: research findings, gaps, and directions DOI Creative Commons
Marc Hasselwander, João F. Bigotte

European Transport Research Review, Journal Year: 2023, Volume and Issue: 15(1)

Published: Sept. 5, 2023

Abstract Background Mobility as a Service (MaaS) – bundled mobility and transport services accessible on-demand on single platform has been popular research topic in recent years. Most MaaS studies, however, are embedded the context of cities Global North, where most existing schemes operational. Purpose The purpose this paper is to give an overview first findings studies South. We aim answer following questions: Is likely gain traction South? How does South differ from known model? Can mitigate problems Methodology conducted systematic literature review with thematic analysis narrative synthesis. In total, we identified 23 relevant papers that were included for full-text analysis. Findings A qualitative synthesis analyzed suggests that: (i) there considerable demand preference integrated, app-based both public private actors push concept; (ii) different regulatory frameworks, available infrastructures, user preferences, among others, require adjusted model; (iii) initial evidence can indeed promote more sustainable behavior developing world, although these further validation pilots comprehensive simulation studies.

Language: Английский

Citations

11

MaaS modelling: a review of factors, customers’ profiles, choices and business models DOI Creative Commons
Carolina Cisterna,

Negarsadat Madani,

Claudia Bandiera

et al.

European Transport Research Review, Journal Year: 2023, Volume and Issue: 15(1)

Published: Oct. 23, 2023

Abstract Mobility-as-a-Service (MaaS) system is regarded as one of the emerging solutions to offer integrated, seamless, and flexible multi-modal mobility services an alternative privately owned resources. MaaS expected change way users will choose their modes transport reach daily activities, how service providers generate profits, cooperate, compete. To successfully deploy intended goals, it critical develop feasible sustainable models that capture diverse needs customers well often competing objectives providers. This paper aims provide a general modelling framework descriptive analysis relevant literature relating all main actors in ecosystem, identify discuss factors are considered relevant, focusing on actor’s decision-making processes correlations. review shows large variety interaction influencing adoption impact forecasting appeal. It also observed current travel behaviour not fully capturing choices potential users. Recent advancements agent-based simulation discrete choice address this gap, future research should aim direction. Finally, analyses between actors, including customers, providers, government, Broker, highlighting complexity process comprising ecosystem. Therefore, recommended prioritise exploring these areas.

Language: Английский

Citations

11