Research on the Construction of an Evaluation System for the Diversion Effect of Urban Tourist Flow

To address the challenge of assessing real-time urban tourist flow diversion effectiveness, this study incorporates knowledge graph technology, leveraging extensive research results as foundational data. Through the steps of information extraction, knowledge fusion and knowledge processing of the keywords of the article, the index system was preliminarily established by combining the quantitative and qualitative methods of expert consultation. In this study, the Delphi method was used to optimize the index system, and an evaluation index system consisting of 1 standard-level index, 6 system-level indicators and 21 index-level indicators was constructed. Then, the analytic hierarchy process was used to calculate the weights of the index system. Through research and interviews, practical experience and literature to determine the index measurement and scoring rules, combined with the national scientific and technological innovation project based on this institute, the pilot evaluation of tourist flow regulation in Suzhou, Tianshui, Wuhu and other places was carried out, and the evaluation system and method were verified. This comprehensive method, which is based on a knowledge graph and combines qualitative and quantitative approaches, offers a novel idea for constructing an index system, especially in the absence of mature theoretical references and practical experiences. This study effectively solves the problem of the evaluation system of the effectiveness of urban tourist flow control, and has strong theoretical innovation and practical significance.