Methoden vergelijken

	Gravity Model of Tourist Flows	Destination Network Analysis
Vakgebied	Tourism Hospitality	Tourism
Familie	Regression model	Process / pipeline
Jaar van ontstaan	2014	2008
Grondlegger	Clive Morley; Jaume Rossello; Maria Santana-Gallego	Noel Scott, Rodolfo Baggio & Chris Cooper
Type	Spatial-interaction / bilateral-flow regression model	Network-analytic pipeline for destination stakeholder and inter-organizational structure
Oorspronkelijke bron	Morley, C., Rossello, J., & Santana-Gallego, M. (2014). Gravity models for tourism demand: theory and use. Annals of Tourism Research, 48, 1-10.	Scott, N., Baggio, R., & Cooper, C. (2008). Network Analysis and Tourism: From Theory to Practice. Channel View Publications. ISBN: 9781845410872
Aliassen	Tourism Gravity Equation, Bilateral Tourist Flow Model, Gravity Model of Tourism Demand, Spatial Interaction Model of Tourism	Tourism Network Analysis, Destination Stakeholder Network Analysis, Inter-Organizational Tourism Network Analysis, Tourism Destination Network Mapping
Verwant	4	3
Samenvatting	The gravity model of tourist flows explains travel between an origin and a destination by analogy to Newton's law of gravitation: bilateral flows increase with the economic 'mass' of both the origin and the destination and decrease with the distance and cost of travel between them. Borrowed from international trade, the model has become a standard tool for analyzing the structural determinants of international tourism, capturing how population, income, distance, common language, shared borders, and historical or cultural ties shape who travels where. Clive Morley, Jaume Rossello, and Maria Santana-Gallego's 2014 Annals of Tourism Research paper grounded the tourism gravity equation in individual utility theory, while the broader trade literature — notably Anderson and van Wincoop's 'multilateral resistance' insight — showed how to specify and estimate it without bias.	Destination network analysis treats a tourism destination as a network of interconnected stakeholders, firms, public agencies, intermediaries, and community actors, and studies its structure with the tools of social network analysis. The approach was consolidated by Noel Scott, Rodolfo Baggio, and Chris Cooper, whose 2008 book Network Analysis and Tourism: From Theory to Practice argued that a destination's competitiveness and capacity to coordinate depend not only on individual businesses but on the web of relationships that links them. By mapping who collaborates, exchanges information, or refers business to whom, the analysis reveals how cohesive a destination is, which organizations occupy central or brokering positions, and how the destination decomposes into sub-communities, providing an evidence base for destination governance and management.