International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

Mobility as a Service (MaaS) is a solution, which unites travel services by integrating multimodal route planning, reservation, payment, and ticketing options. MaaS development mainly focus on the provision of a user-centered, intelligent, and personalized urban solution with the cooperation of public and private transportation service providers. The main point of the concept is that a new actor, the MaaS operator, is being established between the transportation service and the user. The establishment of the MaaS concept might happen on different integration levels. Examining the international market, the applications in the comparison do not differ to a great extent. The basis of the realization when developing MaaS is the provision of a high level of service with real time route planning and electronic payment for public transport services. There is a huge interest of providing a suitable MaaS solution by overcoming the technological challenges, by setting of business models, and by examining its applicability in a real-world environment.

The impact of travel time, travel cost, and multitasking availability on the selection of privately use AV (PAV) and shared AV (SAV) are examined. The main daily trip is only studied, where all trips are within urban areas. A stated preference (SP) survey which includes a discrete choice experiment, was designed and distributed in Budapest, Hungary to collect the preferences of people towards PAV and SAV. As a result, a sample size of 2056 observations was obtained from the survey. A discrete choice modeling approach was applied to the data using a conditional logit (CL) model, where the characteristics of the alternatives are considered. The analysis results show that the value of travel time (VOT) of SAV is lower than AV, and the probability of choosing a transport mode is increased when multitasking is available in a transport mode. Moreover, the impact of travel cost on transport mode choice is higher than the impact of travel time. In conclusion, people are more likely to select SAV over PAV when the multitasking availability is considered as one criterion in the transport mode selection.

The selection of accommodation plays a crucial role in tourist trips as an unsuitable choice might affect the tourists’ activities. Decision-making related to the choice of an optimal hotel is a complex process due to the variety of factors and tourist preferences. By applying the Fuzzy AHP (analytical hierarchy process) method, this study aims to overcome uncertainty and to support the tourists’ decisions to choose the optimum hotel on the booking.com website. The adopted criteria for optimal selection include hotel rating, hotel price, Wi-Fi availability, free parking, breakfast availability, and free cancellation service. The criteria are compared to stakeholder preferences and weighted by using the FAHP method. The results show that the hotel price is the most influential criterion in hotel selection, whereas the free cancellation criterion has the lowest impact.