手法を比較

	移住モデル（プッシュ・プル／多地域）	移動と移住の放射モデル	空間的相互作用（重力）モデル
分野	人口学	空間分析	空間分析
系統	Regression model	Regression model	Regression model
提唱年	1966	2012	1971
提唱者	Everett Lee	Filippo Simini et al.	Alan Wilson (entropy-maximizing family)
種類	Theoretical-quantitative migration framework	Parameter-free spatial interaction model	Model of flows between spatial origins and destinations
原典	Lee, E. S. (1966). A theory of migration. Demography, 3(1), 47–57.	Simini, F., González, M. C., Maritan, A., & Barabási, A.-L. (2012). A universal model for mobility and migration patterns. Nature, 484, 96–100.	Wilson, A. G. (1971). A family of spatial interaction models, and associated developments. Environment and Planning A, 3(1), 1–32.
別名	Push-Pull Migration Theory, Multiregional Migration Model, Lee Migration Framework, Göç Modelleri	Radiation Law of Human Mobility, Parameter-free Mobility Model, Simini Radiation Model, Radyasyon Modeli	gravity model, spatial interaction model, competing destinations model, mekânsal etkileşim modeli
関連	3	3	4
概要	Migration models are quantitative frameworks for explaining and forecasting population movement between geographic units. Lee's (1966) push-pull theory classifies factors at origin and destination into positive and negative forces, modulated by intervening obstacles. Widely used by demographers, regional planners, and policy researchers to project labor mobility, refugee flows, and urbanization trends across national and subnational geographies.	The 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.