Factors Influencing Intention to Use Mobility as a Service: Case Study of Gyeonggi Province, Korea

Ko, Eunjeong; Kwon, Yeongmin; Son, Woongbee; Kim, Junghwa; Kim, Hyungjoo

doi:10.3390/su14010218

Cited by 10 publications

(6 citation statements)

References 26 publications

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“…The model analysis showed that people that spend 1 to 2 h per day on urban commuting have higher probability of selecting a MaaS system solution, while those that spend more than 2 h on their daily commute seemed less likely to choose a MaaS scheme. Such results correspond with the findings of Ko et al [51], and, as other studies suggest [52,53], car dependence seems to be a very important factor in individuals' choices. In addition, the inferential analysis showed that younger people have a higher probability of choosing a MaaS system.…”

Section: Discussionsupporting

confidence: 93%

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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Section: Discussionsupporting

confidence: 93%

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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“…Investigations on MaaS and en-vironment, e.g., [25,77,[80][81][82], evaluate the potential of MaaS to minimise car-dependency, encouraging a more sustainable mobility scheme and a more liveable metropolis. Papers on MaaS and people, e.g., [83][84][85][86][87], explore the user-centric nature of MaaS. They also assess the behavioural transition from an "ownership" to a "usership" regime proposed by the new model; MaaS expects end users to acquire mobility services, not the transport modes themselves.…”

Section: Maas and The Sc Dimensionsmentioning

confidence: 99%

MaaS Implications in the Smart City: A Multi-Stakeholder Approach

2023

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Cities worldwide are calling for smart mobility strategies to tackle the negative externalities of their transport networks. Mobility as a Service (MaaS) is expected to introduce a new mobility model that promotes smarter and more sustainable urban futures. Given the novelty of the concept, this paper explores the implications that might arise from the implementation of MaaS in today’s metropolises in relation to the six dimensions of smart cities: smart governance, smart economy, smart mobility, smart environment, smart people, and smart living. To this end, 42 semi-structured interviews with MaaS stakeholders were conducted in Madrid (Spain). Thematic analysis identified a set of 35 urban implications. The success of MaaS requires more than the mere deployment of technologies and must be supported by the reorganisation of institutional structures, the reform of the regulatory scenario, the stimulation of innovation-based entrepreneurship, the promotion of environmental awareness, the encouragement of cultural transition, and the consideration of the public sphere. Overall, valuable insights are identified for policymakers when designing MaaS. Assessment of multiple stakeholders’ perspectives enables a holistic understanding of these strategies and thus maximises their potential to address the limitations of our complex mobility systems in meeting urban sustainability goals.

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“…A South Korean case study (a survey conducted in February 2020 with 781 participants) [10] identified factors influencing the MaaS use and included constructs for measuring intention to use MaaS and variables related to influential factors with a ordered probit model and estimating marginal effects. The study identified seven key variables from 11 tested, with user characteristics such as being male, from a lower income household, and existing public transit use showing greater intent to use MaaS.…”

Section: On Sensitive Transport Parameters Of Maas Usersmentioning

confidence: 99%

Complementing or competing with public transit? Evaluating the parameter sensitivity of potential Mobility-as-a-Service (MaaS)urban users in Germany, the Czech Republic,Poland, and the United Kingdom with a mixed choice model

Matowicki

Pecherková

Amorim

et al. 2023

Preprint

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In this study we conduct a large survey (n=6,405) on urban daily commuters in four European countries (Germany, the United Kingdom, Poland, and the Czech Republic), we add richness to our understanding of who will use Mobility-as-a-Service (MaaS) options and what relationship MaaS has with public transit in terms of choosing how to travel. We explored how sensitive participants were to changes in pricing and travel times, and also examined how likely different kinds of participants, grouped into segments (user groups) with similar characterizes, were to public transportation, MaaS, or private cars. We concluded that the basic mobility factors such as price and travel time can increase the likelihood of using a certain option, as we notably observed in the “Unspecified Users” group. Our complex approach, combining several mathematical modelling tools, provided insight into the choices people make into choosing among different travel options, and our findings may be leveraged by decision makers to create better, more informed approaches towards promoting sustainable alternatives to car use in urban settings.

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Factors Influencing Intention to Use Mobility as a Service: Case Study of Gyeonggi Province, Korea

Cited by 10 publications

References 26 publications

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

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

MaaS Implications in the Smart City: A Multi-Stakeholder Approach

Complementing or competing with public transit? Evaluating the parameter sensitivity of potential Mobility-as-a-Service (MaaS)urban users in Germany, the Czech Republic,Poland, and the United Kingdom with a mixed choice model

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