Revealing the supply-demand relationship of urban cultural ecosystem services: The combination of open-source spatial model and topic model

Cultural ecosystem services (CES) are of significant interest due to their effectiveness in assessing the impact of ecosystem degradation on human well-being. The evaluation of spatial coordination between the supply and demand of urban CES is crucial for guiding the sustainable development of urban areas. However, current research and survey methods are time-consuming and laborious, lacking in full integration of beneficiary opinions, and insufficient in examining multiple CES in an integrated manner. In this study, we have developed a novel framework that integrates an investigation-driven approach with a natural language processing topic model to assess the supply and demand of CES and their spatial correspondence. Using the main urban area of Xi'an as a case study, we analyzed the spatial coherence of supply and demand including aesthetic, cultural, educational, recreational, and spiritual services. Our findings demonstrate that the fusion of multiple models can effectively evaluate the CES supply from a natural perspective of nature and the demand for CES from a beneficiary perspective. High-supply areas for CES are concentrated in the center region of the study area and in proximity to roads and rivers. Aesthetic service supply was higher than that of other service types, followed by recreational and spiritual services supply. Demand is notably high in the city's hinterland, with substantial interest in recreational and aesthetic services. We observed mismatches between supply and demand across service categories ranging from 33.58% to 67.64%, with supply exceeding demand in most regions. Therefore, tailored measures should be implemented to address the supply and demand mismatch of CES based on local conditions. Our research introduces a new technical tool for analyzing the supply-demand matching relationship of CES and establishes a theoretical foundation for sustainable urban management.