Political and Market Challenges in Relation to Services Using Intelligent Transport Systems

Załoga, Elżbieta; Wojan, Władysław

doi:10.1007/978-3-319-66251-0_22

Cited by 7 publications

(6 citation statements)

References 1 publication

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“…Specifically, the estimated coefficients for the 18-25 category are highly positive, followed by the category 25-35. This is in line with expectations, according to which MaaS will be particularly interesting for the younger generations, commonly named as Generation Y, that show a different view on car ownership, at least according to some authors (Mulley, 2017;Załoga and Wojan, 2017). In contrast, people aged between 51 and 65 and older than 65 are less likely to subscribe to MaaS, confirming the findings of (Ho et 2018).…”

Section: Stage 1 -Maas Subscription Decisionsupporting

confidence: 89%

Bundling, pricing schemes and extra features preferences for mobility as a service: Sequential portfolio choice experiment

Caiati

Rasouli

Timmermans

2020

Transportation Research Part A: Policy and Practice

107

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Section: Stage 1 -Maas Subscription Decisionsupporting

confidence: 89%

Bundling, pricing schemes and extra features preferences for mobility as a service: Sequential portfolio choice experiment

Caiati

Rasouli

Timmermans

2020

Transportation Research Part A: Policy and Practice

107

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“…In the context of investigating the mode of transport in daily mobility, it is important to consider the idea of sustainable development. Many studies have been devoted to this paradigm with the direction of continuous advancement of transport provision [71][72][73]. The setting of an exact transport policy is a prerequisite for achieving mutual synergistic effects of all types of transport to achieve the principles of sustainable development.…”

Section: Discussionmentioning

confidence: 99%

Estimating Mode of Transport in Daily Mobility during the COVID-19 Pandemic Using a Multinomial Logistic Regression Model

Mazanec

Harantová

Štefancová

et al. 2023

IJERPH

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At the beginning of 2020 there was a spinning point in the travel behavior of people around the world because of the pandemic and its consequences. This paper analyzes the specific behavior of travelers commuting to work or school during the COVID-19 pandemic based on a sample of 2000 respondents from two countries. We obtained data from an online survey, applying multinomial regression analysis. The results demonstrate the multinomial model with an accuracy of almost 70% that estimates the most used modes of transport (walking, public transport, car) based on independent variables. The respondents preferred the car as the most frequently used means of transport. However, commuters without car prefer public transport to walking. This prediction model could be a tool for planning and creating transport policy, especially in exceptional cases such as the limitation of public transport activities. Therefore, predicting travel behavior is essential for policymaking based on people’s travel needs.

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“…A consensus that emerged in the publications was the formulation and specification of a goal or a roadmap for the development of MaaS by local authorities [30,79,97,110]. Only by creating a uniform target image of MaaS with a long-term orientation can the necessary framework conditions be created so that public transport and private actors can join forces in collaborative projects [96,129]. The distribution of roles and responsibilities between actors in this emerging ecosystem is a weakly framed but significant issue.…”

Section: Role Of the Public Sectormentioning

confidence: 99%

Literature Review of Mobility as a Service

Maas

2022

Sustainability

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The number of publications about mobility as a service (MaaS) has increased rapidly in the past years, spreading into various fields. In this paper, a total of 127 scientific publications about MaaS are reviewed and categorized into an overarching thematic framework in order to highlight key areas of research and further potential. Three research questions are highlighted in this review: (1) which topics are discussed in the existing MaaS literature? (2) what are the main results in the specific fields? and (3) where are gaps for further research? Publications have focused substantially on the topics of the market, users, data and technology, and the impact on the transportation system. The review shows that, regarding the concept, multi-level approaches have been established for the organization and cooperation of the actors involved, showing different levels of integration of public and private actors on a regional and supra-regional level. Various groups have already been identified as potential users, but the relatively low willingness to pay and the requirements regarding the individualization of mobility services pose problems that have not yet been solved. There is also a constant and unsolved challenge regarding the sensitive motion data that must be stored and processed. Significant research is still needed, including assessments of the impact of MaaS and what effects the service will have on the established use of transport modes, as well as how packages need to be designed and priced in order to optimally reach users.

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Political and Market Challenges in Relation to Services Using Intelligent Transport Systems

Cited by 7 publications

References 1 publication

Bundling, pricing schemes and extra features preferences for mobility as a service: Sequential portfolio choice experiment

Bundling, pricing schemes and extra features preferences for mobility as a service: Sequential portfolio choice experiment

Estimating Mode of Transport in Daily Mobility during the COVID-19 Pandemic Using a Multinomial Logistic Regression Model

Literature Review of Mobility as a Service

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