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Coasting: Model description, global sensitivity analysis, and scenario discovery.

Jillian Student1,2, Mark R Kramer3, Patrick Steinmann4

  • 1Environmental Policy Group, Wageningen University & Research, the Netherlands.

Methodsx
|December 15, 2020
PubMed
Summary
This summary is machine-generated.

This study details the "Coasting" agent-based model for simulating coastal tourism environmental vulnerabilities. It provides methods for adaptation and analysis, aiding future research in coastal resilience.

Keywords:
Agent-based modellingCoastal tourismCoasting modelGlobal sensitivity analysisODDODD+DScenario discovery

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Area of Science:

  • Environmental Science
  • Computational Social Science
  • Tourism Management

Background:

  • Coastal tourism faces emerging environmental vulnerabilities.
  • Agent-based models (ABMs) are useful for simulating complex socio-environmental systems.
  • Replicability and adaptability are crucial for robust scientific modeling.

Purpose of the Study:

  • To provide a detailed description of the "Coasting" agent-based model for simulating coastal tourism vulnerabilities.
  • To outline methods for global sensitivity analysis and scenario discovery applicable to coastal vulnerability assessments.
  • To facilitate the adaptation of the "Coasting" model to other coastal tourism destinations.

Main Methods:

  • The "Coasting" agent-based model is described using the Overview, Design Concepts, and Details + Human Decision-making (ODD+D) protocol.
  • Implementation details for global sensitivity analysis are provided.
  • Methods for scenario discovery are presented, including supplementary results.

Main Results:

  • The manuscript offers a comprehensive guide for replicating the "Coasting" model.
  • Demonstrates the application of sensitivity analysis and scenario discovery to identify key factors influencing coastal tourism vulnerability.
  • Supplementary data enhances the understanding of scenario discovery outcomes.

Conclusions:

  • The "Coasting" model provides a flexible framework for assessing environmental vulnerabilities in coastal tourism.
  • The described methodologies support robust vulnerability assessments and informed decision-making for coastal management.
  • The model's adaptability allows for its application to diverse coastal tourism contexts worldwide.