Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/116472
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dc.contributorDepartment of Land Surveying and Geo-Informaticsen_US
dc.contributorDepartment of Civil and Environmental Engineeringen_US
dc.contributorResearch Institute for Sustainable Urban Developmenten_US
dc.contributorOtto Poon Charitable Foundation Smart Cities Research Instituteen_US
dc.contributorMainland Development Officeen_US
dc.creatorTang, JHCGen_US
dc.creatorLiu, Jen_US
dc.creatorChen, Aen_US
dc.creatorWang, Ben_US
dc.creatorZhuge, Cen_US
dc.creatorYang, Xen_US
dc.date.accessioned2025-12-31T04:08:05Z-
dc.date.available2025-12-31T04:08:05Z-
dc.identifier.issn0965-8564en_US
dc.identifier.urihttp://hdl.handle.net/10397/116472-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.subjectAdoption Behavioren_US
dc.subjectDiscount Offeren_US
dc.subjectMobility-as-a-Service (MaaS)en_US
dc.subjectSocial Influenceen_US
dc.subjectSpatial Agent-based Model (SABM)en_US
dc.titleExploring the potential adoption of mobility-as-a-service in Beijing : a spatial agent-based modelen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume194en_US
dc.identifier.doi10.1016/j.tra.2025.104430en_US
dcterms.abstractMobility-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.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationTransportation research. Part A. Policy and practice, Apr. 2025, v. 194, 104430en_US
dcterms.isPartOfTransportation research. Part A. Policy and practiceen_US
dcterms.issued2025-04-
dc.identifier.scopus2-s2.0-85218925703-
dc.identifier.artn104430en_US
dc.description.validate202512 bchyen_US
dc.description.oaNot applicableen_US
dc.identifier.SubFormIDG000606/2025-12-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe work described in this paper was jointly supported by the National Natural Science Foundation of China (52002345), the Shenzhen Municipal Science and Technology Innovation Commission (Project ID: JCYJ20230807140401003), the research grants from the Research Institute for Sustainable Urban Development (1-BBG1 and 1-BBWR), the Smart Cities Research Institute (CDAR and CDA9) and the funding for Project of Strategic Importance provided by The Hong Kong Polytechnic University (1-ZE0A).en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2027-04-30en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2027-04-30
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