Mobility as a Service Inclusion Index (MaaSINI): Evaluation of inclusivity in MaaS systems and policy recommendations

Dadashzadeh, Nima; Woods, Lee; Ouelhadj, Djamila; Thomopoulos, Nikolas; Kamargianni, Maria; Antoniou, Constantinos

doi:10.1016/j.tranpol.2022.09.006

Cited by 23 publications

(7 citation statements)

References 60 publications

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“…This is part of the "integration of information", a requirement to foster MaaS societal goals, as recommended by [30]. Moreover, information and awareness become much required if the goal is to have MaaS reach vulnerable social groups [44]. As some scholars highlight [45], MaaS initiatives in their turn may contribute to a modal-shift, making sustainable mobility alternatives easier to be identified and chosen.…”

Section: Discussionmentioning

confidence: 99%

Assessing the Feasibility of MaaS: A Contribution from Three Italian Case Studies

et al. 2022

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Making all types of public and private transport services available to users through a single and integrated digital platform is the new urban mobility paradigm called Mobility as a Service (MaaS). This scheme allows both a more sustainable urban transportation system and a more efficient transport service for users. For MaaS to be successful, its implementation should adapt to the specific features of the location covered by the service. The city maturity level has to be considered in terms of multimodality, infrastructures, regulations, user goals, and user willingness to use and pay for MaaS services. This paper discusses and analyses the results of a survey on MaaS conducted in three Italian metropolitan areas: Turin, Rome, and Genoa, which have very different and specific characteristics. The comparative analysis enables the definition of drivers, obstacles, and requisites for MaaS implementation to be successful. When it comes to cities with conservative mobility policies or cities that are new to MaaS experiences, resistance to adoption of the service might occur. The results of the research discussed in this paper can be a useful resource to enable decision makers to develop more effective and efficient transportation policies.

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Section: Discussionmentioning

confidence: 99%

Assessing the Feasibility of MaaS: A Contribution from Three Italian Case Studies

et al. 2022

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“…Regarding transport accessibility issues for vulnerable users, there is limited research examining the use of MaaS schemes by individuals who depend on others for their mobility, such as elderly family members and teenagers. Older individuals are considered less likely to adopt a MaaS scheme compared to younger generations [33,34], while evidence suggests that elderly individuals are more willing to adopt MaaS if motivators such as off-peak travel discounts are provided [8]. Integrating MaaS with community transport has the potential to mitigate equity issues and enhance mobility and accessibility of the elderly population [35].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Mobility as a Service (MaaS), aims to decompress the complexity of the urban landscape through the combination of several transportation modes and transportation-related services into a single, all-inclusive on-demand service [5]. MaaS provides a wide range of transportation choices including taxis, public transportation, bicycling, and car-sharing [6] and considers attributes such as individual preferences and transportation requirements (e.g., luggage) in order to provide more sustainable transportation solutions and reduce the attractiveness of individual car trips [7,8]. In addition, service fees for the use of MaaS can be tailored monthly based on individualized mobility programs [9,10], providing further flexibility to users.…”

Section: Introductionmentioning

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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“…In order to account for behavioral change towards MaaS, including after MaaS app implementation, a preliminary work proposed a longitudinal study [15] to collect data in the United Kingdom's Solent area (Portsmouth and Southampton) through a stated and revealed preference (SP and RP) survey. In the future, they plan to analyze data through a travel behavior model that would aggregate mobility users into classes based on travel behaviors and attitudinal latent variables and to identify a utility cost function through an SP experiment.…”

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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Mobility as a Service Inclusion Index (MaaSINI): Evaluation of inclusivity in MaaS systems and policy recommendations

Cited by 23 publications

References 60 publications

Assessing the Feasibility of MaaS: A Contribution from Three Italian Case Studies

Assessing the Feasibility of MaaS: A Contribution from Three Italian Case Studies

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

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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