Urban regeneration is a complex process that integrates economic, cultural, and social dimensions, in which public satisfaction serves as a key indicator for evaluating outcomes.This study takes historic and cultural districts recommended by China’s Ministry of Housing and Urban-Rural Development as case sites. A total of 23,237 comments were collected across platforms including Weibo and Dianping. First, the BERTopic model was applied to identify five core themes: cultural heritage preservation, cultural tourism appeal, commercial development, infrastructure and safety, and service quality and public feedback. Then, the RoBERTa Chinese pre-trained model was used to conduct fine-grained sentiment analysis. The findings show that 50.7% of comments express positive sentiments, 37.4% are neutral, and 11.9% are negative, with the latter primarily concerning issues such as commercial homogenization, traffic congestion, and environmental hygiene. Thus, a mixed-method approach was employed, using theme weights as conditional variables in a fuzzy-set qualitative comparative analysis (fsQCA). The analysis reveals three configurations leading to high satisfaction—cultural immersion with quality service, dual emphasis on culture and safety, and consumer experience as a substitute for cultural perception—as well as five configurations associated with low satisfaction.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

A Configuration Analysis of Public Satisfaction in China’s Culture-Led Urban Regeneration from a Social Media Perspective Based on Natural Language Processing

  • Xueqi Liu,
  • Mingyuan Zhang

摘要

Urban regeneration is a complex process that integrates economic, cultural, and social dimensions, in which public satisfaction serves as a key indicator for evaluating outcomes.This study takes historic and cultural districts recommended by China’s Ministry of Housing and Urban-Rural Development as case sites. A total of 23,237 comments were collected across platforms including Weibo and Dianping. First, the BERTopic model was applied to identify five core themes: cultural heritage preservation, cultural tourism appeal, commercial development, infrastructure and safety, and service quality and public feedback. Then, the RoBERTa Chinese pre-trained model was used to conduct fine-grained sentiment analysis. The findings show that 50.7% of comments express positive sentiments, 37.4% are neutral, and 11.9% are negative, with the latter primarily concerning issues such as commercial homogenization, traffic congestion, and environmental hygiene. Thus, a mixed-method approach was employed, using theme weights as conditional variables in a fuzzy-set qualitative comparative analysis (fsQCA). The analysis reveals three configurations leading to high satisfaction—cultural immersion with quality service, dual emphasis on culture and safety, and consumer experience as a substitute for cultural perception—as well as five configurations associated with low satisfaction.