Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/108837
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dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorZheng, Sen_US
dc.creatorJiang, Cen_US
dc.creatorWang, Ken_US
dc.date.accessioned2024-08-27T04:41:16Z-
dc.date.available2024-08-27T04:41:16Z-
dc.identifier.issn0254-5330en_US
dc.identifier.urihttp://hdl.handle.net/10397/108837-
dc.language.isoenen_US
dc.publisherSpringer New York LLCen_US
dc.rights© The Author(s) 2024en_US
dc.rightsThis 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.rightsThe following publication Zheng, S., Jiang, C. & Wang, K. Climate change adaptation projects of transport facilities: is a demonstrator necessary?. Ann Oper Res (2024) is available at https://doi.org/10.1007/s10479-024-06010-8.en_US
dc.subjectAdaptationen_US
dc.subjectClimate changeen_US
dc.subjectDemonstrator projecten_US
dc.subjectReal option gameen_US
dc.subjectStochastic demanden_US
dc.subjectSubsidyen_US
dc.subjectTransport facilityen_US
dc.titleClimate change adaptation projects of transport facilities : is a demonstrator necessary?en_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.doi10.1007/s10479-024-06010-8en_US
dcterms.abstractTransport facilities are increasingly threatened by the climate-change related natural disasters in recent years. In order to incentivize the transport facility operators to engage in climate change adaptation, governments may provide subsidies to the adaptation investment. Due to the substantial uncertainties in the outcomes of the adaptation projects, the government can set up an “experiment” project, which can be used as a demonstrator. In this paper, we develop real-option game models to investigate the transport facility operators’ adaptation investment under static stochastic demand and time-varying stochastic demand. Meanwhile, the government’s optimal decisions on whether to set up a demonstrator and the related subsidy policies are also examined. We find that under static stochastic demand, the government prefers to set up a demonstrator if the marginal benefit of the adaptation capacity is larger than its marginal cost, or the demonstration effect is high enough. Under time-varying stochastic demand, the government prefers to set up a demonstrator when the demand volatility is low. Moreover, increasing demand volatility requires less (or more) subsidy, when the demonstrator is (or is not) set up. Increasing demand volatility leads to postponement of the adaptation timing and more adaptation investment, irrespective of whether there is a demonstrator.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationAnnals of operations research, Published: 29 May 2024, Latest articles, https://doi.org/10.1007/s10479-024-06010-8en_US
dcterms.isPartOfAnnals of operations researchen_US
dcterms.issued2024-
dc.identifier.scopus2-s2.0-85194726017-
dc.identifier.eissn1572-9338en_US
dc.description.validate202408 bcchen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_TA-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Science Foundation of China; Natural Science Foundation of Beijing Municipalityen_US
dc.description.pubStatusEarly releaseen_US
dc.description.TASpringer Nature (2024)en_US
dc.description.oaCategoryTAen_US
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