Transportation Research Interdisciplinary Perspectives, Год журнала: 2025, Номер 30, С. 101348 - 101348
Опубликована: Фев. 5, 2025
Язык: Английский
IEEE Transactions on Intelligent Transportation Systems, Год журнала: 2023, Номер 24(10), С. 10262 - 10278
Опубликована: Сен. 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.
Язык: Английский
Процитировано
96
Transportation Research Part C Emerging Technologies, Год журнала: 2024, Номер 162, С. 104603 - 104603
Опубликована: Апрель 4, 2024
Язык: Английский
Процитировано
10
Transportation Research Part F Traffic Psychology and Behaviour, Год журнала: 2025, Номер 113, С. 1 - 13
Опубликована: Апрель 28, 2025
Язык: Английский
Процитировано
1
Transportation research procedia, Год журнала: 2024, Номер 78, С. 297 - 303
Опубликована: Янв. 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.
Язык: Английский
Процитировано
8
Travel Behaviour and Society, Год журнала: 2024, Номер 36, С. 100801 - 100801
Опубликована: Апрель 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.
Язык: Английский
Процитировано
8
Transport Policy, Год журнала: 2025, Номер unknown
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1
Travel Behaviour and Society, Год журнала: 2025, Номер 40, С. 100997 - 100997
Опубликована: Фев. 12, 2025
Язык: Английский
Процитировано
1
Journal of Public Transportation, Год журнала: 2023, Номер 26, С. 100079 - 100079
Опубликована: Дек. 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.
Язык: Английский
Процитировано
16
Communications in Transportation Research, Год журнала: 2024, Номер 4, С. 100122 - 100122
Опубликована: Апрель 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.
Язык: Английский
Процитировано
6
European Transport Research Review, Год журнала: 2023, Номер 15(1)
Опубликована: Окт. 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.
Язык: Английский
Процитировано
13