With the recent years’ rapid development of the leisure economy, an increasing number of cities focus on the development of leisure industry. However, traditional leisure industry planning does often not consider wider sustainability goals or negative environmental impacts. It becomes an urgent issue for government, planners and scholars to find more scientific methodology and develop theory from empirical case studies to solve this. To contribute to a more ecological leisure industry, this study sought a scientific methodology for ecological leisure industry planning by applying large datasets. We use point-of-interest data (POI) and spatial syntax to account for effects for the urban road network. This is incorporated in a GIS-AHP approach, developing this method further. We demonstrate the method in the case the leisure industry in Shapingba District of Chongqing, China. We apply a comparative analysis of the results of site selection of ecological leisure industry and the existing spatial layout. We concluded: 1) Traffic accessibility has significance for spatial layout and structure of ecological leisure industry. 2) Apply the concept of ecology to the actual ecological leisure industrial layout. 3) Network spatial structure is future development direction of ecological leisure industrial.