Effect of Motivational Factors on the Use of Integrated Mobility Applications: Behavioral Intentions and Customer Loyalty DOI Creative Commons

Il Joon Tae,

Alexandra Broillet-Schlesinger,

Bo Young Kim

et al.

Information, Journal Year: 2024, Volume and Issue: 15(9), P. 536 - 536

Published: Sept. 3, 2024

The digital advancement of “as a service” models has led to the rapid emergence mozbility as service (MaaS) in transportation. This study aims identify motivational factors used among users integrated mobility application services and empirically determine their attitudes regarding use customer loyalty over long term. To do this, four motivations for using mobile services—social, habit-congruence, economic, innovation acceptance—were identified. A total 311 actual app South Korea were sampled analyzed. Social motivation was found have greatest impact on positive behavioral intentions apps. is followed by habit-congruence motivation, which perceived essential determination. It that active apps, who them years, attitude about them, viewing part regular transportation system daily life rather than an innovative service. suggests practical implications applications strategies transportation-related governments businesses.

Language: Английский

Mobility-as-a-Service and unsustainable travel behaviour: Exploring the car ownership and public transport trip replacement side-effects of the MaaS paradigm DOI Creative Commons
Elena Alyavina,

Alexandros Nikitas,

Eric Tchouamou Njoya

et al.

Transport Policy, Journal Year: 2024, Volume and Issue: 150, P. 53 - 70

Published: March 4, 2024

Car-centred development adds significantly to the climate change threat our planet faces. Mobility-as-a-Service (MaaS) is a concept looking generate modal shift via digital and physical integration of alternative on-demand transport services. Recent research raises concerns, however, that contrary hype, MaaS may result in unsustainable travel behaviour. On one hand, future users are now primarily drivers not be ready away from their cars, while on other hand people regularly using public substitute some these journeys with MaaS-enabled car-sharing, ride-sharing ride-hailing Herein, we study effects intentions own car trips car-centric services UK- based quantitative survey. We use Principal Component Analysis Ordinal Regression Modelling see how MaaS-related perceptions referring Added Value, Car Use Convenience Enjoyment, Human Element Externalities, Trust Functionality, Cost Incentives, Morality, Enabling Technology Ownership Necessity affect usage intentions. Our results highlight some, typically less discussed, grey areas inform design policies, including service disincentivitisation, responsible user benefits, rebranding investment prioritisation.

Language: Английский

Citations

19

Exploring the factors shaping attitudes and intentions towards automated buses: Empirical evidence from Northeast England DOI Creative Commons
Corneliu Cotet, Gustav Bösehans, Dilum Dissanayake

et al.

Journal of Transport Geography, Journal Year: 2025, Volume and Issue: 123, P. 104024 - 104024

Published: Jan. 11, 2025

Language: Английский

Citations

1

Rural public cultural service system in Heilongjiang Province based on coupled coordination analysis DOI Creative Commons
Liwei Liu, Ying Wang

Journal of Computational Methods in Sciences and Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 10, 2025

Developing rural public culture is crucial for enhancing spiritual and cultural life, promoting growth, fostering socialist core values. Constructing this service system requires considering both internal external factors, such as environment, population, economic support, social stability. This study focuses on Heilongjiang Province the research area randomly selects 14 natural villages survey targets, collecting data from 2017 to 2021. By employing a coupled coordination degree model, services its three subsystems are analyzed. The findings reveal that development impact of during period 2017–2021 was suboptimal volatile. exhibit strong mutual influence, adjustments overall situation can be made by intervening in individual systems or indices. Moreover, coupling between stability foundation, population support subpar, indicating limited environmental perspectives services.

Language: Английский

Citations

0

Mind the Perception Gap: Identifying Differences in Views Among Stakeholder Groups of Shared Mobility Services through Bayesian Best-Worst Method DOI Creative Commons
Ehsan Amirnazmiafshar, Marco Diana

Multimodal Transportation, Journal Year: 2025, Volume and Issue: unknown, P. 100198 - 100198

Published: Jan. 1, 2025

Language: Английский

Citations

0

Exploring the potential adoption of Mobility-as-a-Service in Beijing: A spatial agent-based model DOI
Justin Hayse Chiwing G. Tang, Junbei Liu, Anthony Chen

et al.

Transportation Research Part A Policy and Practice, Journal Year: 2025, Volume and Issue: 194, P. 104430 - 104430

Published: March 1, 2025

Language: Английский

Citations

0

Accessibility potential of long-distance Mobility-as-a-Service DOI
Francesco Bruzzone, Federico Cavallaro, Silvio Nocera

et al.

Transportation Research Part A Policy and Practice, Journal Year: 2025, Volume and Issue: 195, P. 104466 - 104466

Published: April 8, 2025

Language: Английский

Citations

0

The Mobility as a Service Potential Index (MaaSPI): Assessing the conditions for MaaS across countries based on public sources DOI Creative Commons
César Núñez, Constantinos Antoniou

Research in Transportation Business & Management, Journal Year: 2025, Volume and Issue: 60, P. 101360 - 101360

Published: April 11, 2025

Language: Английский

Citations

0

New mobility trials and travel behaviour change for the context of a UK University campus: Insights from the “Choose Your Way Warwick” mobility hub ecosystem DOI Creative Commons

Lamprini Papafoti,

Prabs Johal,

Alexandros Nikitas

et al.

Transportation Research Part F Traffic Psychology and Behaviour, Journal Year: 2025, Volume and Issue: 112, P. 274 - 289

Published: April 23, 2025

Language: Английский

Citations

0

Stakeholders’ viewpoints analysis on mobility as a service using the MAMCA and the fuzzy AHP method DOI
Willy Kriswardhana, Domokos Esztergár-Kiss

Journal of Urban Mobility, Journal Year: 2025, Volume and Issue: 7, P. 100121 - 100121

Published: April 26, 2025

Language: Английский

Citations

0

The governance of emerging mobility technologies in Finland: A Q-methodology study DOI Creative Commons

Janne J. Olin,

Miloš N. Mladenović

Journal of Transport Geography, Journal Year: 2025, Volume and Issue: 126, P. 104257 - 104257

Published: April 30, 2025

Language: Английский

Citations

0