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MaaS模型:因素、客户档案、选择和商业模型的回顾

MaaS modelling: a review of factors, customers’ profiles, choices and business models

作者:Carolina Cisterna;Negarsadat Madani;Claudia Bandiera;Francesco Viti;Mario Cools;

关键词:Mobility-as-a-Service,MaaS modelling,Two-sided market,Factors and customers’ profiles

DOI:https://doi.org/10.1186/s12544-023-00597-y

发表时间:2023年

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摘要

移动出行服务(MaaS)系统被视为提供综合、无缝和灵活的多模式出行服务的新兴解决方案,作为私人出行资源的替代选择。预计MaaS将改变用户选择出行方式以及服务提供商如何实现利润、合作和竞争的方式。要成功部署MaaS以实现预期目标,关键是开发可行和可持续的模型,以满足客户多样化的需求以及服务提供商的多样化和常常相互竞争的目标。本文旨在提供一个通用的模型框架,并对MaaS生态系统中所有主要参与者的相关文献进行批判性和描述性分析,并确定和讨论所有被认为相关的因素,重点关注参与者的决策过程及其相关性。这个评论显示了影响MaaS采用的大量因素和相互作用,以及对预测MaaS吸引力的影响。同时也观察到目前的出行行为和多模式交通模型并未完全捕捉到潜在MaaS用户的多样化出行需求和选择。代理模拟和离散选择建模的最新进展提供了解决这一差距的潜在解决方案,未来研究应该朝着这个方向发展。最后,这个评论分析了MaaS参与者之间的相互作用,包括客户、服务提供商、政府和MaaS经纪人,突显了包括MaaS生态系统中所有参与者的建模过程的复杂性。因此,建议未来的研究重点放在探索这些领域。


Abstract

Mobility-as-a-Service (MaaS) system is regarded as one of the emerging solutions to offer integrated, seamless, and flexible multi-modal mobility services as an alternative to privately owned mobility resources. MaaS is expected to change the way users will choose their modes of transport to reach their daily activities, and how service providers will generate profits, cooperate, and compete. To successfully deploy MaaS to reach the intended goals, it is critical to develop feasible and sustainable models that capture the diverse needs of customers as well as the diverse and often competing objectives of service providers. This paper aims to provide a general modelling framework and a critical and descriptive analysis of the relevant literature relating all main actors in the MaaS ecosystem, and identify and discuss all factors that are considered relevant, focusing on the actor’s decision-making processes and their correlations. This review shows the large variety and interaction of factors influencing MaaS adoption and their impact on forecasting MaaS appeal. It is also observed that current travel behaviour and multi-modal transport models are not fully capturing the diverse travel needs and choices of potential MaaS users. Recent advancements in agent-based simulation and discrete choice modelling offer potential solutions to address this gap, and future research should aim in that direction. Finally, the review analyses the interaction between MaaS actors, including customers, service providers, the government, and the MaaS Broker, highlighting the complexity of the modelling process comprising all actors of the MaaS ecosystem. Therefore, it is recommended to prioritise future research in exploring these areas.