Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/115456
DC FieldValueLanguage
dc.contributorDepartment of Civil and Environmental Engineeringen_US
dc.creatorWang, Zen_US
dc.creatorChan, HYen_US
dc.creatorXu, Yen_US
dc.creatorChen, Aen_US
dc.date.accessioned2025-09-29T02:00:01Z-
dc.date.available2025-09-29T02:00:01Z-
dc.identifier.issn1366-5545en_US
dc.identifier.urihttp://hdl.handle.net/10397/115456-
dc.language.isoenen_US
dc.subjectCost-benefit analysisen_US
dc.subjectRail project appraisalen_US
dc.subjectStudent productivityen_US
dc.subjectSystem dynamicsen_US
dc.subjectWider economic benefitsen_US
dc.titleSystem dynamics in railway project appraisal : assessing student productivity and wider economic benefits in the knowledge economyen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume202en_US
dc.identifier.doi10.1016/j.tre.2025.104325en_US
dcterms.abstractRail projects require substantial long-term investments, making comprehensive project appraisal essential. Traditional cost-benefit analysis (CBA) emphasizes direct benefits but often overlooks wider economic benefits (WEB) like productivity gains and human capital development within the knowledge economy. Even when WEB considered, most studies rarely capture the feedback loops between different benefits over time, limiting comprehensive evaluation. To address these gaps, this paper develops a system dynamics (SD)-based WEB evaluation framework, applying it to the Shatin to Central Link project in Hong Kong, which connects a major university to the local transit network. The model uses student salary as a proxy of productivity, reflecting indirect economic benefits tied to human capital enhancement. Based on survey data, the results show increased student productivity contributes a cumulative impact equivalent to 1.60% of total WEB value over 50 years. The analysis reveals significant long-term gains, with profitability increasing from HK$35.79 billion to HK$42.20 billion and the investment payback period shortening by 0.42 years to 13.86 years when feedback loops are considered versus traditional CBA. These findings highlight the cumulative effects from the interactions among benefits and the reinforcing relationship between infrastructure and productivity in driving economic growth. While this case focuses on one university, the framework can be extended to assess wider regional impacts. The model's generalizability is discussed through feature customization, integrated impacts, and multi-stakeholder perspectives. This research demonstrates that the SD approach enhances WEB analysis, overcoming limitations of CBA and offering actionable insights for investment decisions that promote sustainable, knowledge-based urban development.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationTransportation research. Part E, Logistics and transportation review, Oct. 2025, v. 202, 104325en_US
dcterms.isPartOfTransportation research. Part E, Logistics and transportation reviewen_US
dcterms.issued2025-10-
dc.identifier.scopus2-s2.0-105010698196-
dc.identifier.eissn1878-5794en_US
dc.identifier.artn104325en_US
dc.description.validate202509 bchyen_US
dc.description.oaNot applicableen_US
dc.identifier.SubFormIDG000160/2025-08-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis research was supported by the Research Institute for Sustainable Urban Development ( 1-BBG1 ), the Research Institute for Land and Space ( 1-CD7N ), and a Postdoc Matching Fund (W29P) at the Hong Kong Polytechnic University.en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2028-10-31en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2028-10-31
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