China’s fast economic growth has accelerated urbanization,leading to the expansion and reconfiguration of urban areas.This creates an urgent need to improve the allocation of public service facilities,which are vital for every urban resident’s well-being.However,many large and medium-sized cities face challenges in allocating public service resources effectively,especially with population explosions,frequent population flow,and unplanned urban sprawl.The existing public facility resources also fail to meet the changing demands of urban residents.Public sports services are particularly critical for physical health and quality of life,but have not received enough attention.It is essential to evaluate current public sports facility configurations and determine necessary improvements.The previous research on siting public sports facilities is largely theoretical,focused on optimizing them through policy guidance or qualitative evaluation.However,there is a lack of specific and systematic methodological research from a spatial perspective,and the decision-making process needs improvement.This paper aims to conduct a comprehensive study on urban public sports facility siting by constructing a scientific and rational spatial siting optimization and evaluation system.Specifically,the research focuses on Lanzhou city as the validation area,and the main objectives are as follows:(1)This work explores how to select and evaluate urban public sports facility sites.Firstly,spatial accessibility is defined and compared with existing evaluation methods.Secondly,the study uses an improved potential model to construct an evaluation system for public sports facility site selection.Finally,GIS software is used to analyze and evaluate the spatial accessibility of public sports facilities in different areas of Lanzhou City.(2)This work focuses on the spatial siting of urban public sports facilities.A multi-objective optimization-based siting model is established to consider spatial factors,providing a methodological framework for siting such facilities.The multi-objective optimization algorithm is then improved by incorporating spatial information and applied to solve the spatial siting model.The model and improved algorithm are tested for feasibility and effectiveness in Lanzhou City’s main urban area.(3)A spatial model was created to optimize the siting of public sports facilities in Lanzhou City.The optimized siting cases were analyzed,and recommendations were made.An improved potential model was used to evaluate accessibility,allowing for scientific optimization and visualization of siting results.The findings provide guidance for the optimal siting of public sports facilities in the city. |