Overview: Big Data Support for Urban Planning and Management in China

Abstract

This book is a collection of up-to-date practice and research using big data in the field of urban and regional planning and smart city. It aims to draw a picture of the current research status of big data application in urban China; most of the works focus on spatiotemporal analysis of human mobility and transportation for understanding relevant urban structure after the rapid urbanization process in China. The case studies in this book will explain how big data changes the perception of planners and researchers in urban planning practice. It is the first book to introduce big data-based research for planning practices in China. Keywords Social big data • Location-based data • Mobile device data • Social network system • Cyber infrastructure and urban structure Big data is collected from sensors of Internet of Things (IoT) in smart cities, which is being generated by everything around us at all times. Conventional survey data is an important foundation for urban planning and management, which can be defined as indicator system for feasibility study by measuring and monitoring planning implementation. Planning indicators can be formulated as objectives of local planning authority to make planning decisions and review planning application. In planning process, from monitoring and planning to implementation, statistic database is conventionally employed for developing urban model in order to analyze current situation, allocate economic demand, seek solutions of planning issues such as conflicts between land use and transportation, and establish indicator system as standards for monitoring, planning, and implementation. Big data is a new kind of data source for urban planning and management because the new era of smart city construction is based on information and communications technology (ICT) and IoT. In