Applied Data Analysis for Urban Planning and Management

Alasdair Rae is the founder of Automatic Knowledge Ltd, a UK-based data and insights company, focusing on spatial data analysis and the built environment. Prior to that, he was a Professor of Urban Studies and Planning at the University of Sheffield. He is a Fellow of the Royal Scottish Geographical Society, a recipient of the Royal Town Planning Institute's Sir Peter Hall award for Wider Engagement, a former Commissioner of the UK2070 Commission, and a winner of the Royal Statistical Society's 'Stat of the Year'. His most recent academic work has focused on spatial analysis, deprivation, housing markets and megaregions, and his work frequently appears in the national and international media. He has a PhD from the University of Liverpool, an MA from The Ohio State University and a BA from the University of Strathclyde. Cecilia Wong is Professor of Spatial Planning and Director of Spatial Policy and Analysis Lab of the Manchester Urban Institute, the University of Manchester. She is Fellow of the UK Academy of Social Sciences; Fellow of the Royal Town Planning Institute; and Chair of the UK 2021 Research Excellence Framework 'Architecture, Built Environment and Planning' sub-panel. She has research expertise in strategic spatial planning, policy monitoring and analysis, urban and regional development, and housing and infrastructure planning, and urban planning in China. She was a commissioner of the UK2070 Commission on Regional Inequalities, a commissioner of the Labour Party's Lyons Independent Housing Review, a member of Department for Communities and Local Government's expert panel on housing and planning, an expert panel member of the European Commission's Urban Audit II, and an expert group member of the UN-Habitat City Prosperity Index.

Introduction: The Promises and Pitfalls Of Data For Urban Planning - Alasdair Rae What's New in Urban Data Analytics? - Elisabete A. Silva, Lun Liu, Heeseo Rain Kwon, Haifeng Niu, Yiqiao Chen, Jose Reis Indicators and Urban Planning: The Big Data Opportunities And Challenges - Cecilia Wong Crowdsourced Geographic Information For Urban Planning And Management - Adipandang Yudono Design and Narrative Techniques For Urban Data Visualisation - Duncan A. Smith City Dashboards And 3D Geospatial Technologies For Urban Planning And Management - Oliver Dawkins, Rob Kitchin, Gareth Young, and Tomasz Zawadzki Data Analytics, Urban Form and Climate Change: The Urban Climate Map - Chao Ren , Edward Ng, Jason Wai Po Tse, Pak Shing Yeung, Jimmy Chi Hung Fung, Gerald Mills, Jason Ching, Benjamin Bechtel, Linda See Data Analytics and Modelling Accessibility Change Of High-Speed Rail Network Development: A Door-To-Door Approach - Lei Wang Understanding Migrant-Local Neighbourly Relations In Shanghai: Empirical Urban Research In A Data-Sparse Setting - Zheng Wang Conclusion: Beyond Analytics: Planning-Led Or Planning-Lag? - Cecilia Wong

This state of the art edited collection from leading planning experts Rae and Wong presents a tour-de-force of international new thinking on urban analytics. Thanks to being written in a clear and highly engaging style alongside vibrant illustration, this book provides an excellent reference point for those new to the field. The chapters present a novel and skillful blend of methodologically-orientated content alongside vibrant and real world applications. A highly recommended read! -- Alex Singleton This text is very much needed as a method textbook and unique in its kind, with empirical examples from all over the world that takes on and explains different methods. -- Kristina Trygg This book provides a variety of interesting empirical examples that demonstrate how urban data analytics can be utilized to support spatial planning and management. -- Jing Yao Data is only usable if it can be unlocked using analytics. This insightful collection of essays provides a gentle entry to the world of big data as it applies to planning. Essential reading for all who wish to get grips with this new science. -- Michael Batty