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Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.

Stralingsmodel van Mobiliteit en Migratie×Ruimtelijke Interactie (Zwaartekracht) Modellen×
VakgebiedRuimtelijke analyseRuimtelijke analyse
FamilieRegression modelRegression model
Jaar van ontstaan20121971
GrondleggerFilippo Simini et al.Alan Wilson (entropy-maximizing family)
TypeParameter-free spatial interaction modelModel of flows between spatial origins and destinations
Oorspronkelijke bronSimini, F., González, M. C., Maritan, A., & Barabási, A.-L. (2012). A universal model for mobility and migration patterns. Nature, 484, 96–100. DOI ↗Wilson, A. G. (1971). A family of spatial interaction models, and associated developments. Environment and Planning A, 3(1), 1–32. DOI ↗
AliassenRadiation Law of Human Mobility, Parameter-free Mobility Model, Simini Radiation Model, Radyasyon Modeligravity model, spatial interaction model, competing destinations model, mekânsal etkileşim modeli
Verwant34
SamenvattingThe Radiation Model, introduced by Simini et al. in 2012, is a parameter-free model for predicting human mobility and migration flows between geographic locations. Drawing an analogy from radiation physics, it predicts trip volumes based solely on population sizes at origin and destination, and the intervening population within the circle connecting them. It has been widely applied to commuting flows, migration, and epidemic spreading.Spatial interaction models predict the volume of flows — migrants, commuters, shoppers, trade, trips — between origins and destinations as a function of the size of each place and the distance or cost separating them. By analogy to Newton's gravity, interaction rises with the 'mass' of origin and destination and falls with separation, and Wilson's 1971 entropy-maximizing family put these models on a rigorous footing for transport, migration, and retail analysis.
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ScholarGateMethoden vergelijken: Radiation Model · Spatial Interaction Model. Geraadpleegd op 2026-06-15 via https://scholargate.app/nl/compare