CC BY 4.0Trivic, ZdravkoSinha, AdityaMa, KaiGoh, Kim Huat2024-01-192024-01-192023978-908-28191-9-9https://hdl.handle.net/20.500.14235/1200Book of proceedings: 35th AESOP Annual Congress Integrated planning in a world of turbulence, Łódź, 11-15th July, 2023Cities are complex systems shaped by simultaneous dynamic processes. While an increased number of studies focus on analysing urban big data, the attempts predominantly propose means for data visualisation, and fall short in data interpretation and guidance. In response, this paper aims to systematically understand dynamic urban big data, trends and anomalies in city functioning. We outline a comprehensive framework and “DataCube-CityScan” platform that harness on dynamic economic, societal, environmental, health and attitudinal data available in Singapore (e.g., people movement, public transport use, shopping behaviour). We use GIS alongside multiple outlier detection algorithms to analyse and identify specific trends and anomalies in real-time and alert city officials to respond and make informed and timely decisions, monitor changes, plan actions and strategies, and maximise their resources. Keywords:dynamic urban data; big data visualisation; city pulse; city planning; SingaporeEnglishopenaccessConference object94-108