Spatiotemporal analysis of regional tourism development: A semiparametric Geographically Weighted Regression model approach

Abstract

Tourism development is an important topic within tourism and regional studies. However, previous studies have lacked focus regarding the coexistence of spatial and temporal effects, where the mixed analysis of global and local influencing factors has been limited. This paper employs a semiparametric GWR model to explore the spatiotemporal relationships between regional tourism economy and influencing variables. Results indicate that in the areas of better tourism economic development, spatiotemporal lag factors play a key promotion role, while in the areas of lower tourism economic development, spatiotemporal lag factors play a restraining role. In comparison with traditional analysis methods, semiparametric GWR was found to be superior in analyzing regional tourism economies as it accounts for spatiotemporal relationship at both global and local scales.