Customising Urban Joy: Urban Planning Mechanisms for the Mass - Customisation of Cities, through the Quantifiable Nature of Joy Using Geo-tagged Social Media Data

The paper examines citizen participation in a digitally-driven society and the disparity between desired and existing cities. It emphasises the need to transform cities into adaptable environments that respond to the needs of residents. Traditional top-down urban planning often fails to match the flexible nature of digitised urban residents. To address this, an agent-based model is employed, evaluating urban environments based on individual sentiment derived from social media API. The study case of Wittenberge, Germany, showcases the methodology, including the creation of a 3D digital twin using open data sources and generating agents with unique personalities from social media keywords. These agents' 'life satisfaction score' reflects their ability to fulfil daily needs and preferences within a 20-minute walking radius.