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In the traditional ecosystem service evaluation, non-material services such as culture and recreation services are difficult to accurately quantify due to the lack of a powerful evaluation model. Compared with ecosystem services, landscape services emphasize all the tangible and intangible services that landscape ecosystems provide to humans in the spatial pattern. Social media photos can be used for perceived services demand evaluation on the landscape scale. The study of spatial relationship between recreation service demand (RSD) and urbanization complements the integrity of the landscape service supply and demand relationship framework. Firstly, this paper analyzes the spatial autocorrelation and seasonal differences of landscape recreation service demand through Global Moran’s I. The analysis shows that there is a highly significant spatial agglomeration and certain seasonal differences in landscape recreation service demand. Secondly, the bivariate Global Moran’s I is used to analyze spatial correlation between landscape recreation service demand and urbanization, The result shows that there is a positive spatial correlation between urbanization indicators and landscape recreation service demand in different seasons. Thirdly, the bivariate LISA method is used to show the spatial agglomeration relationship between landscape recreation service demand and urbanization indicators in different seasons. Finally, it is verified that the spatial lag model and the spatial error model are more suitable for measuring the dependence than the linear regression least squares (OLS). At the same time, population density (PD) has a positive impact on landscape recreation service demand in different seasons, while landscape recreation service demand in autumn is also positively affected by non-urbanization factors and negative impact of GDP, which also proves space spillover effect between landscape recreation service demand and urbanization. The above conclusions can be used as important information for urban landscape planning and decision-making.

STUDY ON THE SPATIAL RELATIONSHIP BETWEEN LANDSCAPE RECREATION SERVICE DEMAND AND URBANIZATION – A CASE STUDY IN SHANGHAI