The Influence Mechanism of Urban Spatial Structure on Urban Vitality Based on Geographic Big Data: A Case Study in Downtown Shanghai

How can we construct the multidimensional evaluation framework of urban vitality from perspective spatial structure? Under current intensity land development, does population density in downtown area Shanghai have potential to be improved? Can a subdistrict an appropriate scale for evaluating central Shanghai? First, based on multisource geospatial big data, comprehensive theoretical influence mechanism structure was constructed three dimensions population, use, and traffic, 11 indicators were selected form index system. Second, analyzed six aspects economic vitality, cultural quality life, social governance, air quality, nocturnal using binary correlation analysis regression model eigenvector space filtering (ESF). The results show following: (1) According combined impact analysis, job–housing balance degree, floor ratio, open road network are positively correlated with while density, use mix average block area, rail transit station accessibility negatively vitality. (2) between is related ratio. development intensity, has approached “ceiling”. (3) Different scales different effects Finally, some policy suggestions proposed optimize enhance