Exploring the aspects of MaaS adoption based on college students’ preferences

Kriswardhana, Willy; Esztergár-Kiss, Domokos

doi:10.1016/j.tranpol.2023.03.018

Cited by 18 publications

(4 citation statements)

References 82 publications

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“…The multimodal classes (WPC, PW, BS) already show sustainable travel behavior. Thus, a breakthrough mobility solution, such as Mobility as a Service (MaaS) could target college students as its potential users since the service promises more accessible ways to use a wider range of transport modes through one single system [21], and college students show a high interest in adopting the service [22]. Since college students in WPC and PW classes come from lower-income households, the mobility companies could support them in favor of enhancing the use of shared sustainable transport modes by giving discounts.…”

Section: Discussionmentioning

confidence: 99%

Identifying heterogeneity in university students’ transport mode choice

Kriswardhana,

Esztergár-Kiss

2024

IOP Conf. Ser.: Earth Environ. Sci.

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College students are argued to have some interest in adopting alternative mobility solutions. Even though previous works have examined the transport mode choice of college students, the inclusion of shared mobility services is scarcely found. Thus, this study aims to examine the transport mode choice of university students by revealing the heterogeneity in transport mode usage frequency incorporating socio-demographic and travel characteristics as covariates in the latent class cluster analysis (LCCA) framework. The analysis results in four clusters. Clusters of public transport users and walkers are mostly characterized by lower-income students who can reach the university in less than 11 minutes. Private car users mostly fall into a cluster where students generally come from higher-income families. Policies supporting sustainable transportation among college students are discussed, including the mobility points around the university and public transport stops.

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Section: Discussionmentioning

confidence: 99%

Identifying heterogeneity in university students’ transport mode choice

Kriswardhana,

Esztergár-Kiss

2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…Private vehicle owners who frequently use PT and active modes display a higher willingness to adopt MaaS, while highly car-dependent individuals, who rely on their cars for all types of trips, demonstrate lower willingness to use MaaS [29]. In addition, a strong association between technology readiness and user preferences has been observed, indicating that more technologically advanced individuals are more likely to adopt MaaS [32]. Specifically, university graduates and full-time employees are more likely to choose at least three transport modes in their service package [26].…”

Section: Literature Reviewmentioning

confidence: 99%

Exploring Community Readiness to Adopt Mobility as a Service (MaaS) Scheme in the City of Thessaloniki

Mavrogenidou,

Papagiannakis

2024

Urban Science

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Mobility as a Service (MaaS) is a new mobility solution that brings together different modes of transportation, such as car-sharing, public transport, taxis, and bicycles, to create personalized service packages for commuters. The present study aims to identify key factors affecting the adoption of a Mobility as a Service system, and to explore the extent to which a local community is ready to accept the implementation of MaaS. The case study investigates the city of Thessaloniki, which is the second largest urban agglomeration in Greece. This study applies a triangulation approach by combining quantitative and qualitative analysis, providing a comprehensive understanding of the opportunities and the challenges arising with the implementation of a MaaS system in the city of Thessaloniki. Furthermore, the utilization of MaaS as a tool for vulnerable people, a crucial aspect that has not been analyzed properly in the existing literature, is examined. A quantitative survey analysis was conducted, inferential statistics were applied, and a binary logistic regression model was developed to determine the significant characteristics that most affect citizens’ willingness to use a MaaS system. In addition, stakeholders were interviewed to examine their readiness to promote and collaborate for the development of a MaaS system. Results showed that age, driving license, daily time spent on urban trips, the frequency of commuting as car passenger or by public transport (PT), previous usage of a MaaS system, and the number of family members seem to be the most influential factors of citizens’ choice to adopt MaaS. For stakeholders, the quality of service provided, and the user friendliness of the system are necessary prerequisites. The findings reveal that the views of residents and stakeholders provide some positive foundations for the development of a MaaS system in the city.

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“…Although there is no agreed definition of MaaS [6], it can be defined as an integrated framework that offers personalized and multimodal mobility services through a digital platform, where users can plan, book, and pay for their trips [7]. The system is designed to achieve sustainable policy goals [8] and is often viewed as a promising solution to address societal and environmental challenges, especially in urban areas [4,9]. In many cities, the car-oriented mobility style has led to 2 of 14 congestion, pollution problems, and inefficient land use [6,10].…”

Section: Introductionmentioning

confidence: 99%

“…Recently, Franco and Vitetta [23] studied preferences for MaaS bundles in an Italian city by considering answers to SP experiments. Kriswardhana and Eszterg'ar-Kiss [9] implemented a model to evaluate the relationship among MaaS packages, users' adoption of the service, and their attitudinal attributes using SP data from college students. Focusing on a sample of Dutch car owners, Van't Veer et al [24] evaluated factors affecting the potential decision to use MaaS.…”

Section: Introductionmentioning

confidence: 99%

MaaS Adoption and Sustainability for Systematic Trips: Estimation of Environmental Impacts in a Medium-Sized City

et al. 2023

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Mobility as a Service (MaaS) is often seen as a promising solution to address societal and environmental challenges. Despite the importance of quantifying its potential benefits, few previous works have focused on the impacts on the environment, and all of them considered large cities. This study aims to forecast the diffusion of MaaS in a medium-sized city and quantify the consequent reduction in pollutant emissions for commuting trips. Answers from a mobility survey administered to employees of the Municipality of Padua (Italy) were used to calibrate a model predicting MaaS adoption, which was applied to real working trips to estimate daily vehicle emissions savings in future scenarios with different MaaS bundles. The results indicated that the opportunity to have multimodal mobility options providing door-to-door travel is a fundamental element to ensure wide MaaS diffusion. Furthermore, public transport was confirmed to be the backbone of such a system. Compared to the current scenario, we observed up to a 41% reduction in pollutant emissions. The analysis pointed out that MaaS adoption is highly dependent on the characteristics of the proposed bundles, thus highlighting the importance of a proper design of the service and ex ante evaluation of emission savings.

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Exploring the aspects of MaaS adoption based on college students’ preferences

Cited by 18 publications

References 82 publications

Identifying heterogeneity in university students’ transport mode choice

Identifying heterogeneity in university students’ transport mode choice

Exploring Community Readiness to Adopt Mobility as a Service (MaaS) Scheme in the City of Thessaloniki

MaaS Adoption and Sustainability for Systematic Trips: Estimation of Environmental Impacts in a Medium-Sized City

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