Mapping and analyzing the construction noise pollution in China using social media platforms

Construction noise has become a critical environmental pollution source with serious impacts due to rapid urbanization in China. However, studies on construction noise pollution throughout the country are lacking. Meanwhile, emerging social media enables real-time information exchange and can act as a society monitoring sensor. Accordingly, this study employs an innovative approach utilizing web crawler technology and text mining to investigate national construction noise pollution from public feedback on social media platforms. Results showed that construction noise pollution was more severe at around 4:00 am, while more serious in the morning than in the afternoon at the national level. At the regional level, construction noise is most pronounced in the second quarter, relatively light in the first quarter, and generally more severe in the northeast areas. Besides, a weak positive correlation was explored between the construction noise severity and regional economic development. Moreover, through the policy content analysis, the important measures summarized from regional policies were categorized into different groups with the demonstration of recommended practical policy settings. The framework and findings of this study provide a theoretical and practical reference and guideline for future environmental investigation, noise management strategy development, and related policy formulation. [Display omitted] •Social media data were first-time used to explore the construction noise in China.•Construction noise pollution was mapped and analyzed at the national level.•Construction noise pollution in the northeast regions of China was more severe.•A weak positive correlation was found between noise severity and economic status.•Important policy measures were identified into five categories, with recommendations indicated.