Use of Big Data in Implementing the 15-Minutes City Concept in Indonesia (Case Study: Providing Ideal Locations for Public Green Open Space in the City of Surakarta)

Abstract

The 15 Minute City concept aims to ensure that city residents can meet most of their daily needs within a 15-minute walk or cycle distance. This research investigates the application of big data to determine the ideal location of public green open spaces in Surakarta, Indonesia. By analyzing demographic, land use, accessibility and environmental quality data, this study aims to provide a data-driven framework for urban planning. The findings from this research identify important factors that influence the optimal placement of green spaces, supporting sustainable urban development and improving people's quality of life.