In the era of digitization,leveraging public sentiment perception to optimize the quality of public spaces has become one of the considerations for enhancing existing space experiences.Drawing on environmental psychology,this article takes the Shanghai Hongqiao Comprehensive Transportation Hub as an example,using Sina Weibo data and natural language processing techniques to analyze the public sentiment perception of the hub's internal public spaces.Furthermore,the study explores the influencing factors of public sentiment through the analysis of emotional word frequency.The findings are as follows.Firstly,there are significant spatiotemporal differences in the public sentiment perception of the internal public spaces of comprehensive transportation hubs.Secondly,both spatiotemporal elements and subjective factors contribute to the perception differences of public sentiment within the public spaces of comprehensive transportation hubs.Thirdly,factors influencing public sentiment perception exhibit deficiencies in both the"cognitive"and"behavioral"dimensions.Based on these findings,this study validates the feasibility of using social media data to reveal the public sentiment perception of internal public spaces in comprehensive transportation hubs.Additionally,considering the advanced emotional needs of the public,the study proposes strategies for spatial improvement and enhancement.It aims to provide insights for the creation of public spaces in comprehensive transportation hubs.
social mediapublic sentimentperception of public spacefrequency analysis of emotional wordsShanghai Hongqiao Comprehensive Transportation Hub
国家科技期刊平台
NSTL
万方数据
