This groundbreaking book revolutionizes the study of territorial space use efficiency by integrating geospatial effects into its evaluation. Departing from traditional methods, it pioneers a novel approach that combines geography factor analysis, geography data envelopment analysis, and an extended cellular automata model for a comprehensive evaluation and prediction of territorial space use efficiency. The book delves into theoretical frameworks, methodological models, and presents in-depth empirical studies focused on Chinese cities. By exploring evaluation indicator selection, construction of evaluation and prediction models, and conducting empirical analyses, the book offers readers a comprehensive understanding of the subject.
This groundbreaking book revolutionizes the study of territorial space use efficiency by integrating geospatial effects into its evaluation. Departing from traditional methods, it pioneers a novel approach that combines geography factor analysis, geography data envelopment analysis, and an extended cellular automata model for a comprehensive evaluation and prediction of territorial space use efficiency. The book delves into theoretical frameworks, methodological models, and presents in-depth empirical studies focused on Chinese cities. By exploring evaluation indicator selection, construction of evaluation and prediction models, and conducting empirical analyses, the book offers readers a comprehensive understanding of the subject.
Yin Ma
Territorial space use efficiency Geography factor analysis model(GeoFA) Geography data envelopment analysis model(GeoDEA) Machine learning Cellular automata model Production-living-ecological space Sustainable development of cities Reasonable urban spatial planning Sustainable Development Goal 11 Chinese cities