Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/116472
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Land Surveying and Geo-Informatics | en_US |
| dc.contributor | Department of Civil and Environmental Engineering | en_US |
| dc.contributor | Research Institute for Sustainable Urban Development | en_US |
| dc.contributor | Otto Poon Charitable Foundation Smart Cities Research Institute | en_US |
| dc.contributor | Mainland Development Office | en_US |
| dc.creator | Tang, JHCG | en_US |
| dc.creator | Liu, J | en_US |
| dc.creator | Chen, A | en_US |
| dc.creator | Wang, B | en_US |
| dc.creator | Zhuge, C | en_US |
| dc.creator | Yang, X | en_US |
| dc.date.accessioned | 2025-12-31T04:08:05Z | - |
| dc.date.available | 2025-12-31T04:08:05Z | - |
| dc.identifier.issn | 0965-8564 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/116472 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Pergamon Press | en_US |
| dc.subject | Adoption Behavior | en_US |
| dc.subject | Discount Offer | en_US |
| dc.subject | Mobility-as-a-Service (MaaS) | en_US |
| dc.subject | Social Influence | en_US |
| dc.subject | Spatial Agent-based Model (SABM) | en_US |
| dc.title | Exploring the potential adoption of mobility-as-a-service in Beijing : a spatial agent-based model | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.volume | 194 | en_US |
| dc.identifier.doi | 10.1016/j.tra.2025.104430 | en_US |
| dcterms.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. | en_US |
| dcterms.accessRights | embargoed access | en_US |
| dcterms.bibliographicCitation | Transportation research. Part A. Policy and practice, Apr. 2025, v. 194, 104430 | en_US |
| dcterms.isPartOf | Transportation research. Part A. Policy and practice | en_US |
| dcterms.issued | 2025-04 | - |
| dc.identifier.scopus | 2-s2.0-85218925703 | - |
| dc.identifier.artn | 104430 | en_US |
| dc.description.validate | 202512 bchy | en_US |
| dc.description.oa | Not applicable | en_US |
| dc.identifier.SubFormID | G000606/2025-12 | - |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | The 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.pubStatus | Published | en_US |
| dc.date.embargo | 2027-04-30 | en_US |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Journal/Magazine Article | |
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