Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/116176
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Mainland Development Office | - |
| dc.contributor | Department of Land Surveying and Geo-Informatics | - |
| dc.contributor | Research Institute for Sustainable Urban Development | - |
| dc.contributor | Otto Poon Charitable Foundation Smart Cities Research Institute | - |
| dc.creator | Huang, X | - |
| dc.creator | Li, Z | - |
| dc.creator | Zhou, S | - |
| dc.creator | Liu, J | - |
| dc.creator | Zhuge, C | - |
| dc.date.accessioned | 2025-11-25T03:57:43Z | - |
| dc.date.available | 2025-11-25T03:57:43Z | - |
| dc.identifier.issn | 0049-4488 | - |
| dc.identifier.uri | http://hdl.handle.net/10397/116176 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Springer New York LLC | en_US |
| dc.rights | © The Author(s) 2025 | en_US |
| dc.rights | Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | en_US |
| dc.rights | The following publication Huang, X., Li, Z., Zhou, S. et al. Market potential of hydrogen fuel cell vehicles in Beijing: a spatial agent-based model approach. Transportation (2025) is available at https://doi.org/10.1007/s11116-025-10683-w. | en_US |
| dc.subject | Demand–supply dynamics | en_US |
| dc.subject | Hydrogen fuel cell vehicle | en_US |
| dc.subject | Market evolution | en_US |
| dc.subject | Policy analysis | en_US |
| dc.subject | Spatial agent-based model | en_US |
| dc.title | Market potential of hydrogen fuel cell vehicles in Beijing : a spatial agent-based model approach | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.doi | 10.1007/s11116-025-10683-w | - |
| dcterms.abstract | Hydrogen fuel cell vehicles (HFCVs) are vital for advancing the hydrogen economy and decarbonizing the transportation sector. However, research on HFCV market dynamics in passenger vehicles is limited, especially incorporating both market competition from other vehicle types and the comprehensive supply–demand market dynamics. To bridge this gap, our study proposed a spatial agent-based model to simulate the HFCV market evolution, with the aim of finding effective strategies and policy implications for breaking the diffusion dilemma of the HFCV market. We calibrated the model using survey data (N = 1065) collected from Beijing and evaluated its performance across five “What-If” scenarios. Results indicate that HFCVs and hydrogen stations are difficult to penetrate under the current conditions, despite HFCV applicants and market share growing by 37.5% and 15.63%, respectively. Consumer perceptions on cost, social and environment have greater impacts on HFCV proliferation than facility availability. The HFCV purchase subsidy has much greater impact than the technological learning rate, greatly accelerating its market emergence timing. Finally, HFCVs’ diffusion significantly influences the market of battery electric vehicles. | - |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Transportation, Published: 09 October 2025, Online first articles, https://doi.org/10.1007/s11116-025-10683-w | - |
| dcterms.isPartOf | Transportation | - |
| dcterms.issued | 2025 | - |
| dc.identifier.scopus | 2-s2.0-105018483291 | - |
| dc.identifier.eissn | 1572-9435 | - |
| dc.description.validate | 202511 bcch | - |
| dc.description.oa | Record of Version | en_US |
| dc.identifier.FolderNumber | OA_TA | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | We thank the Shenzhen Park of Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone and this research has been supported by the “Theories for Spatiotemporal Intelligence and Reliable Data Analysis” (Project ID: HZQSWS-KCCYB-2024058), the European Research Council (ERC) for the iDODDLE project (grant #101003083), the Shenzhen Municipal Science and Technology Innovation Commission (Grant No.: JCYJ20230807140401003), the Research Grants from the Smart Cities Research Institute (Grant No.: CDAR and CDA9) and Research Institute for Sustainable Urban Development (Grant No.: BBWR) at the Hong Kong Polytechnic University. | en_US |
| dc.description.pubStatus | Early release | en_US |
| dc.description.TA | Springer Nature (2025) | en_US |
| dc.description.oaCategory | TA | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| s11116-025-10683-w.pdf | 5.7 MB | Adobe PDF | View/Open |
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