Big Data: The Engine to Future Cities—A Reflective Case Study in Urban Transport

Sustainability

Jonathan Reades¹  Oliver Lock²  Simone Zarpelon Leao²  Christopher James Pettit²  Matthew Ng² 

[1] Centre for Advanced Spatial Analysis, University College London, London WC1E 6BT, UK;City Futures Research Centre, University of New South Wales, Sydney 2052, Australia;

关键词: big data;    data analytics smart cities;    visualisation;    dashboards;    urban modelling;   

DOI  :  10.3390/su14031727

来源: DOAJ

【 摘 要 】

In an era of smart cities, artificial intelligence and machine learning, data is purported to be the ‘new oil’, fuelling increasingly complex analytics and assisting us to craft and invent future cities. This paper outlines the role of what we know today as big data in understanding the city and includes a summary of its evolution. Through a critical reflective case study approach, the research examines the application of urban transport big data for informing planning of the city of Sydney. Specifically, transport smart card data, with its diverse constraints, was used to understand mobility patterns through the lens of the 30 min city concept. The paper concludes by offering reflections on the opportunities and challenges of big data and the promise it holds in supporting data-driven approaches to planning future cities.

【 授权许可】

Unknown