This book showcases the different ways in which contemporary forms of data analysis are being used in urban planning and management. It highlights the emerging possibilities that city-regional governance, technology and data have for better planning and urban management - and discusses how you can apply them to your research.
Including perspectives from across the globe, it’s packed with examples of good practice and helps to demystify the process of using big and open data.
- Learn about different kinds of emergent data sources and how they are processed, visualised and presented.
- Understand how spatial analysis and GIS are used in city planning.
- See examples of how contemporary data analytics methods are being applied in a variety of contexts, such as ‘smart’ city management and megacities.
Aimed at upper undergraduate and postgraduate students studying spatial analysis and planning, this timely text is the perfect companion to enable you to apply data analytics approaches in your research.
Author(s): Alasdair Rae, Cecilia Wong
Publisher: SAGE Publications
Year: 2022
Language: English
Pages: 192
City: Los Angeles
APPLIED DATA ANALYSIS FOR URBAN PLANNING AND MANAGEMENT – FRONT
COVER
APPLIED DATA ANALYSIS FOR URBAN PLANNING AND MANAGEMENT
COPYRIGHT
CONTENTS
ABOUT THE EDITORS
ABOUT THE CONTRIBUTORS
CHAPTER - 1 INTRODUCTION: THE PROMISES AND PITFALLS OF DATA FOR
URBAN PLANNING
CHAPTER - 2 WHAT’S NEW IN URBAN DATA ANALYTICS?
CHAPTER - 3 INDICATORS AND URBAN PLANNING: THE BIG DATA
OPPORTUNITIES AND CHALLENGES
CHAPTER - 4 CROWDSOURCED GEOGRAPHIC INFORMATION FOR URBAN
PLANNING AND MANAGEMENT
CHAPTER - 5 DESIGN AND NARRATIVE TECHNIQUES FOR URBAN DATA VISUALISATION
CHAPTER - 6 CITY DASHBOARDS AND 3D GEOSPATIAL TECHNOLOGIES FOR
URBAN PLANNING AND MANAGEMENT
CHAPTER - 7 DATA ANALYTICS, URBAN FORM AND CLIMATE CHANGE: THE
URBAN CLIMATE MAP
CHAPTER - 8 DATA ANALYTICS AND MODELLING ACCESSIBILITY CHANGE OF
HIGH-SPEED RAIL NETWORK DEVELOPMENT: A DOOR-TO-DOOR APPROACH
CHAPTER - 9 UNDERSTANDING MIGRANT–LOCAL NEIGHBOURLY RELATIONS IN SHANGHAI: EMPIRICAL URBAN RESEARCH IN A DATA-SPARSE SETTING
CHAPTER - 10 CONCLUSION: BEYOND ANALYTICS: PLANNING-LED OR PLANNING-LAG?
INDEX
