大数据
工艺
数据科学
智慧城市
分析
业务
计算机科学
物联网
地理
万维网
操作系统
考古
作者
Chris Pettit,Simone Leão,Oliver Lock,Matthew Kok Ming Ng,Jonathan Reades
出处
期刊:Sustainability
[MDPI AG]
日期:2022-02-02
卷期号:14 (3): 1727-1727
被引量:6
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI