Exploring the potential adoption of Mobility-as-a-Service in Beijing: A spatial agent-based model

IF 6.8 1区 工程技术 Q1 ECONOMICS Transportation Research Part A-Policy and Practice Pub Date : 2025-03-01 DOI:10.1016/j.tra.2025.104430
Justin Hayse Chiwing G. Tang , Junbei Liu , Anthony Chen , Bobin Wang , Chengxiang Zhuge , Xiong Yang
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Abstract

Mobility-as-a-Service (MaaS) has gained increasing worldwide popularity in the transport industry. However, it remains unclear how MaaS might diffuse over time and across space at the micro-scale. In response, we developed a spatial agent-based model to explore MaaS adoption and subscription (SABM-MaaS) in Beijing, China, which was based on the empirical findings derived from questionnaire survey data collected in Beijing in January 2020. In particular, we designed four MaaS plans, including pay-as-you-go, monthly, season (spanning three months), and yearly subscription plans, to observe which plan would be adopted by users. The results of the reference scenario revealed that the monthly plan (with a 20% discount) was the most prevalent, with almost one-fifth of agents adopting it, and it was followed by pay-as-you-go, season, and yearly plan. Moreover, we also set up several “what-if” scenarios to explore MaaS packages with different discount offerings, offering only one type of MaaS plan, and varying the intensity of MaaS advertisement. The findings also discovered that users still preferred the monthly subscription and pay-as-you-go options over long-term plans. Furthermore, while a strong intensity of MaaS advertisement had a substantial positive impact during the early stages of MaaS release, it did not sufficiently accelerate overall MaaS adoption and diffusion in the long run. The research outcomes provide valuable insights for the MaaS companies, multimodal transport operators, and demand-responsive transport planners in making better decisions regarding MaaS promotion, price and discount strategies, and shared mobility service planning.
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探索北京采用移动即服务的可能性:基于空间代理的模型
移动即服务(MaaS)在全球运输行业中越来越受欢迎。然而,目前尚不清楚MaaS如何在微观尺度上随时间和空间扩散。为此,本文基于2020年1月在北京收集的问卷调查数据,构建了基于空间主体的MaaS采用与订阅(SABM-MaaS)模型。特别地,我们设计了四种MaaS计划,包括按需付费、按月付费、按季付费(跨越三个月)和按年订阅计划,以观察用户会采用哪种计划。参考场景的结果显示,月度计划(有20%的折扣)是最普遍的,几乎有五分之一的代理商采用了它,其次是按需付费计划、季度计划和年度计划。此外,我们还设置了几个“假设”场景来探索不同折扣的MaaS套餐,只提供一种MaaS计划,并改变MaaS广告的强度。调查结果还发现,与长期计划相比,用户仍然更喜欢按月订阅和随用随付的选择。此外,虽然高强度的MaaS广告在MaaS发布的早期阶段产生了实质性的积极影响,但从长远来看,它并没有充分加速整体MaaS的采用和传播。研究结果为MaaS公司、多式联运运营商和需求响应型交通规划者在MaaS促销、价格和折扣策略以及共享移动服务规划方面做出更好的决策提供了有价值的见解。
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来源期刊
CiteScore
13.20
自引率
7.80%
发文量
257
审稿时长
9.8 months
期刊介绍: Transportation Research: Part A contains papers of general interest in all passenger and freight transportation modes: policy analysis, formulation and evaluation; planning; interaction with the political, socioeconomic and physical environment; design, management and evaluation of transportation systems. Topics are approached from any discipline or perspective: economics, engineering, sociology, psychology, etc. Case studies, survey and expository papers are included, as are articles which contribute to unification of the field, or to an understanding of the comparative aspects of different systems. Papers which assess the scope for technological innovation within a social or political framework are also published. The journal is international, and places equal emphasis on the problems of industrialized and non-industrialized regions. Part A''s aims and scope are complementary to Transportation Research Part B: Methodological, Part C: Emerging Technologies and Part D: Transport and Environment. Part E: Logistics and Transportation Review. Part F: Traffic Psychology and Behaviour. The complete set forms the most cohesive and comprehensive reference of current research in transportation science.
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