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Full Description
Big data is increasingly regarded as a new approach for understanding urban informatics and complex systems. Today, there is unprecedented data availability, with detailed remote-sensed data on the built environment and rich mineable web-based sources in the form of social media, web mapping, information services and other sources of unstructured "big data".
This book brings together a group of international contributors to consider the geographical implications of mobility, wellbeing and development within and across Chinese cities through location-based big data perspectives. The degree of urban sprawl, productive density and vibrancy can be reflected from location-based social media big data. The challenge is to identify, map and model these relationships to develop cities at different places in the urban hierarchical system that are more sustainable. This edited book aims to tackle these issues through two inter-related geographical scales: inter-city level and intra-city level.
The text is designed for graduate courses in planning, geography, public policy and administration, and for international researchers who are involved in urban and regional economics and economic geography.
Contents
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
