A Data-Driven Approach for Real-Time Urban Sustainability Assessment Using Crowdsourced Data

This study presents an innovative sustainability assessment framework leveraging crowdsourced data from social media and review platforms.The model encompasses 12 carefully chosen indicators across social, economic, and environmental dimensions.Analysis of four major Indonesian cities reveals comparative strengths and weaknesses, categorizing them into clusters to inform targeted policy improvements.The findings validate crowdsourced data as a robust real-time data source for sustainability assessments.This research provides a strategic roadmap to guide smart city initiatives tailored to the unique ecosystems of each urban area.