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Coasting: Model description, global sensitivity analysis, and scenario discovery
- Source :
- MethodsX, MethodsX, 7, MethodsX 7 (2020), MethodsX, Vol 7, Iss, Pp 101145-(2020)
- Publication Year :
- 2020
-
Abstract
- This manuscript provides information for replicating the Coasting agent-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 assessments<br />Graphical abstract Image, graphical abstract
- Subjects :
- ODD
Tourism destinations
Computer science
Clinical Biochemistry
Context (language use)
WASS
010501 environmental sciences
01 natural sciences
Wiskundige en Statistische Methoden - Biometris
03 medical and health sciences
Vulnerability assessment
Global sensitivity analysis
Coastal tourism
lcsh:Science
Protocol (object-oriented programming)
Mathematical and Statistical Methods - Biometris
030304 developmental biology
0105 earth and related environmental sciences
Scenario discovery
0303 health sciences
Milieubeleid
Toegepaste Informatiekunde
Method Article
PE&RC
Environmental Policy
Agent-based modelling
Agent-based modelling, Overview, Design Concepts, and Details + Human Decision-making (ODD+D) protocol, global sensitivity analysis, scenario discovery
Medical Laboratory Technology
Model description
Risk analysis (engineering)
ODD+D
lcsh:Q
Coasting model
Information Technology
Tourism
Subjects
Details
- ISSN :
- 22150161
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- MethodsX
- Accession number :
- edsair.doi.dedup.....ac9fcd3087af744fec211aceb5eecd39