旅游大数据对旅游者的行为模式的影响日趋明显,在分析研究区旅游资源现状基础上,利用传统数据和网络数据,选取4个一级因子和8个分级指标,构建梅州市旅游资源综合评价体系,对梅州市旅游资源进行综合评价分析。结果表明梅州市旅游资源北密南疏,具有从城市中心向各县市递减的趋势,其中218个旅游点综合评价得分在0～0.7之间,集中分布在0.1～0.2间,自然类的旅游资源高分的景点所占比重最多。基于评价得分核密度分析的旅游资源也具有空间差异性,自然类景观的综合评价得分呈多格局分布特性,人文类和休闲类的旅游资源综合评价得分的空间格局为单一中心格局。梅州市旅游资源及其评价得分具有空间分异特征,建议各类景点发挥协同组团的优势,优化旅游资源发展空间格局,将梅州市建造成世界客家文化旅游休闲目的地,并对同类型城市旅游资源发展规划提供借鉴。

The influence of tourism big data on the behavior patterns of tourists is becoming more and more obvious.Based on the current situation analysis of tourism resources in the study area,using multi-source data,we selected four first-level factors and eight grading indicators to construct Meizhou tourism comprehensive resource evaluation system,and analyzed the comprehensive evaluation of tourism resources in Meizhou City.The results show that the tourism resources of Meizhou City are dense in the north and sparse in the south,with a trend of decreasing from the city center to the counties.The comprehensive evaluation scores of 218 tourist attractions are between 0 and0.7,which are concentrated in the range of 0.1 to 0.2.Highly rated natural tourist attractions have the higher proportion.The tourism resources based on the evaluation value core density analysis also have spatial differences.The comprehensive evaluation value of natural landscapes has a multi-pattern distribution characteristic,and the spatial pattern of the comprehensive evaluation value of tourism resources for humanities and leisure are a single center pattern.Meizhou' s tourism resources and their evaluation values have the characteristics of spatial differentiation.It is recommended that various attractions should take advantage of collaborative groupings,optimize the spatial pattern of tourism resources development,and build Meizhou City into a worldwide Hakka cultural tourism and leisure destination,which can provide reference for the development of tourism resources of similar cities.