Mapping the big data’s impact on urban land use and climate change sustainability in ASEAN

Abstract This study aims to identify and map the relationships between big data, urban land use, and climate change in the Association of Southeast Asian Nations (ASEAN). Rapid urbanisation across Southeast Asia presents significant opportunities and challenges, requiring a comprehensive policy approach to big data on urban land use. This study used a qualitative approach to analyse and map the existing literature from Scopus-based data. The data collection in this study used Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow to capture the various stages of data collection. The study employed bibliometric analysis and visualisation tools such as VOSviewer, RStudio-Biblioshiny, and CiteSpace to map the research landscape, identify key themes discussed, and detect the evolution of emerging trends in this field. The findings revealed that achieving sustainable urban development and resilience to climate change in ASEAN requires using big data as a vital instrument. Big data enables policymakers and urban planners to make more informed and effective decisions by providing unprecedented insights into urban dynamics, supporting better land-use planning, improving resource efficiency, and strengthening climate action.