基于游记数据的遗产景观保护策略研究——以南京明城墙为例

Research on Landscape Protection Strategy Based on Tourism Data:A Case Study of the Master of Nanjing Ming City Wall

为弥补当今遗产保护领域从游客主观视角出发自下而上探寻遗产景观与人类互动关系研究的不足,以景观环境多样的南京明城墙为例,通过收集大众点评网游记数据,借助NLP算法,运用语义分析文本等方法得出游客的情感与行为偏好,从而探究游客行为与周边环境的相互影响关系。主要结论如下:(1)南京明城墙的评论数相对于南京市内其他景点仍有较大差距,其景观与人类的互动性和保护宣传力度仍有待加强。(2)游客评价中积极评价约占80%,消极评价约占20%,游客对南京明城墙以及周边整体景观环境的体验满意度、认可度较高。(3)分析积极与消极评价内容结合场地调研,从风景园林学视角对南京明城墙遗产景观的保护经验及优化策略进行归纳总结。验证了“社交网络文本数据”在遗产景观保护研究领域的适用性,为未来遗产保护和城市绿地规划等提供新的解决途径。

The study aims to make up for the deficiency of the research on the interaction between heritage landscape and human beings from the subjective perspective of human beings in heritage protection.It takes the Ming city wall of Nanjing with a diverse landscape environment as an example and obtains the tourists’emotions and behavior preferences by collecting the travel note data of dianping.com,using NLP algorithm,semantic analysis,text analysis,and other methods,to explore the interaction between the tourists’behavior of the city wall and the surrounding environment.The main findings are as follows:(1)Compared with other scenic spots in Nanjing,there is still a significant gap in the number of comments on the Ming city wall of Nanjing,and the interaction between its landscape and human beings,protection and publicity still need to be strengthened.(2)According to the statistics of all tourist evaluations,the positive evaluation accounts for about 80%,and the negative evaluation accounts for about 20%.Tourists have high experience satisfaction and recognition of Nanjing Ming city wall and the surrounding overall landscape environment.(3)Because of the analysis’s positive and negative evaluation contents,combined with the site investigation,this paper summarizes the protection experience and optimization and promotion strategies of Nanjing Ming city wall and its surrounding heritage landscape from the perspective of landscape architecture and put forward reasonable suggestions.This study verifies the applicability of“social network text data”in the research field of heritage landscape protection.It provides a new solution for future heritage protection and urban green space planning.