Big data is increasingly regarded as a new approach for understanding urban informatics and complex systems. This book will exploit new sources of data such as social media, web mapping and information services, alongside traditional sources such as statistical agency surveys.
Big data is increasingly regarded as a new approach for understanding urban informatics and complex systems. This book will exploit new sources of data such as social media, web mapping and information services, alongside traditional sources such as statistical agency surveys.
Dr. Wenjie Wu is a Professor at the College of Economics, Jinan University, Guangzhou, China, and a research affiliate at the China Institute for Urban Governance, Shanghai Jiaotong University. He formerly worked as a tenured assistant professor (lecturer) and associate professor in UK universities such as the University of Glasgow where he remains as a Co-Investigator of the ESRC Urban Big Data Centre. His research focuses on the economic and geographical implications of urban environment and development, using empirical methods and data to inform public policy. His latest book is the Economics of Planning Policies in China: Infrastructure, Location, and Cities (Routledge, 2017). He has been named the World Social Science Fellow (Big Data in an Urban Context) by the International Social Science Council. He has served on the Global Board of Directors of the International Association for China Planning. Dr. Yiming Wang is a Senior Lecturer in Cities and Public Policy and Director of the MSc Public Policy Programme within the School for Policy Studies, University of Bristol. Yiming's research specialises in the application of geographic information technologies to study government interventions in the urban transport infrastructure and real estate markets. He also has a longstanding interest in studying China's urban economic development policies, mainly from empirical and comparative perspectives. Yiming's peer-refereed publications can be found in major urban planning and public policy journals.
Inhaltsangabe
Foreword I Foreword II PART I Chapter 1 Introduction PART II Chapter 2 Mining China's Urban Social Interaction Footprint Patterns Using Big Data Chapter 3 Is China's airline network similar to its long-distance mobility network? A comparative analysis Chapter 4 Spatially weighted interaction model of traffic flows on motorway networks Chapter 5 Profiling Rapid Urban Transformation through Urban Mobility Data in Shenzhen PART III Chapter 6 Modeling Land Development: Heterogeneity in Space, Time and Context Chapter 7 A Big Data-based Characterisation of the Residential Rental Market in Shanghai Chapter 8 Evaluating Polycentric Spatial Strategy of Megacities Chapter 9 Multi-criteria locational analysis for retail development in small towns Chapter 10 Profiling PM2.5 Pollution Patterns and Policy Development PART IV Chapter 11 Conclusion
Foreword I Foreword II PART I Chapter 1 Introduction PART II Chapter 2 Mining China's Urban Social Interaction Footprint Patterns Using Big Data Chapter 3 Is China's airline network similar to its long-distance mobility network? A comparative analysis Chapter 4 Spatially weighted interaction model of traffic flows on motorway networks Chapter 5 Profiling Rapid Urban Transformation through Urban Mobility Data in Shenzhen PART III Chapter 6 Modeling Land Development: Heterogeneity in Space, Time and Context Chapter 7 A Big Data-based Characterisation of the Residential Rental Market in Shanghai Chapter 8 Evaluating Polycentric Spatial Strategy of Megacities Chapter 9 Multi-criteria locational analysis for retail development in small towns Chapter 10 Profiling PM2.5 Pollution Patterns and Policy Development PART IV Chapter 11 Conclusion
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