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  • 标题:Coasting: Model description, global sensitivity analysis, and scenario discovery
  • 本地全文:下载
  • 作者:Jillian Student ; Mark R. Kramer ; Patrick Steinmann
  • 期刊名称:MethodsX
  • 印刷版ISSN:2215-0161
  • 电子版ISSN:2215-0161
  • 出版年度:2020
  • 卷号:7
  • 页码:1-30
  • DOI:10.1016/j.mex.2020.101145
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis manuscript provides information for replicating theCoastingagent-based model presented in “Simulating emerging coastal tourism vulnerabilities: an agent-based modelling approach”. The model description follows the Overview, Design Concepts, and Details + Human Decision-making (ODD+D) protocol. Moreover, this paper includes implementation details on global sensitivity analysis and scenario discovery. Finally, we provide supplementary tables and figures for scenario discovery results not included in the main paper.Highlights:•Model description for simulating emerging environmental vulnerabilities in a coastal tourism context•Coasting’s design facilitates model adaptations to other coastal tourism destinations•Implementation details for applying global sensitivity analysis and scenario discovery to vulnerability assessmentsGraphical abstractDisplay Omitted
  • 关键词:Agent-based modelling;ODD+D;Global sensitivity analysis;Scenario discovery;Coasting model;ODD;Coastal tourism
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