1st Edition
Urban Analytics with Social Media Data Foundations, Applications and Platforms
The use of data science and urban analytics has become a defining feature of smart cities. This timely book is a clear guide to the use of social media data for urban analytics.
The book presents the foundations of urban analytics with social media data, along with real-world applications and insights on the platforms we use today. It looks at social media analytics platforms, cyberphysical data analytics platforms, crowd detection platforms, City-as-a-Platform, and city-as-a-sensor for platform urbanism. The book provides examples to illustrate how we apply and analyse social media data to determine disaster severity, assist authorities with pandemic policy, and capture public perception of smart cities.
This will be a useful reference for those involved with and researching social, data, and urban analytics and informatics.
Part I Foundations
1. Urban Big Data and Social Media Analytics
2. Volunteer Crowdsourcing and Social Media
3. Government Social Media Channels
Part II Applications
4. Social Media Analytics in Disaster Policy
5. Social Media Analytics in Pandemic Policy
6. Social Media Analytics in Capturing Perceptions
7. Social Media Analytics in Analysing Perceptions
Part III Platforms
8. Social Media Analytics Platforms
9. Cyberphysical Data Analytics Platforms
10. Crowd Detection Platforms
11. City-as-a-Platform
12. City as a Sensor for Platform Urbanism
Biography
Tan Yigitcanlar is an eminent Australian researcher with international recognition and impact in the field of urban studies and planning. He is a Professor of Urban Studies and Planning at the School of Architecture and Built Environment, Queensland University of Technology, Brisbane, Australia. Along with this post, he carries out an Honorary Professor role at the School of Technology, Federal University of Santa Catarina, Florianopolis, Brazil, and is Founding Director of the Australia-Brazil Smart City Research and Practice Network.
Nayomi Kankanamge is a Lecturer in the Department of Town and Country Planning at the University of Moratuwa in Sri Lanka. She has published widely in urban planning, social media analytics, smart cities, disaster management and data science.
"As computers have scaled to the point where we are able to compute on the move using hand-held devices, enabling us to access remote information in real time, there have been a flurry of new platforms for communication defined as social media. Such media now embrace a wide array of communications from education to retailing to government and business which are providing us with new insights into how cities work from the big data that such platforms generate. Yigitcanlar and Kankanamge have produced an important guide, Urban Analytics with Social Media Data, to this terrain which is relevant to all of us who seek to grapple with the increasing complexity of the city and the key role of social media in the way we might plan our urban futures."
Michael Batty, Professor, University College London
"Sensors on lampposts, sensors embedded in sidewalks, sensors installed on city buses—the ubiquity of urban sensors collecting data and producing tranches of big data to be analysed and then employed in the management of cities is now almost universally understood as the way cities run. In their book, Urban Analytics with Social Media Data, Yigitcanlar and Kankanamge add one more source of urban data—social media. Their book covers new ground as they explore ways to apply the big data generated by social media not only to quotidian urban management issues such as efficient transportation planning or land use planning, but to addressing twenty-first century urban issues such as climate change, pandemic management, and gauging the severity of natural disasters and other urban perturbations. This book is valuable because the authors understand and explain how this new tool of urban analytics—social media big data—can now be used by researchers, policymakers, managers, and urban residents, themselves."
Richard E. Hanley, Editor, Journal of Urban Technology. Professor, The City University of New York
"In Urban Analytics with Social Media Data, Yigitcanlar and Kankanamge have shown us the future. Not just the future through the lens of big data, social media, and urban analytics – but from a perspective of how we can better understand people and place, through evolving techniques that are, and will, revolutionize urban planning and policy. The mix of explanations and examples drawn from a comprehensive mining of the literature is outstanding, highlighting some of the most important technological advances of our day for urban analysis."
Tom Sanchez, Professor, Virginia Tech
"This state-of-the-art volume, Urban Analytics with Social Media Data, is a critical resource for making sense of the explosion of data from social media, sensors, and Internet-of-Things in the urban environment. The authors address their potential for solving a range of urban problems. This comprehensive treatment includes surveys of the literature to highlight important research questions, opportunities, and constraints, from the use of social media data to analytics employing artificial intelligence. It is the case studies and cutting-edge applications, however, that bring to life the possibilities and challenges, in contexts from disaster management to traffic control, drawn from cities around the globe. This book provides an indispensable guide to data and analysis in today’s smart and networked cities."
Karen Mossberger, Professor, Arizona State University
"This book, Urban Analytics with Social Media Data, is an indispensable conceptual and methodological guide to using social media data for making sense of cities and applying the results in practice. Richly illustrated with examples, it will be of high utility for anyone seeking to perform urban analytics."
Rob Kitchin, Professor, Maynooth University
