Seeing Cities Through Big Data, Softcover reprint of the original 1st ed. 2017
Research, Methods and Applications in Urban Informatics
Springer Geography Series

Introduction to Seeing Cities Through Big Data – Research, Methods, and Applications in Urban Informatics.- Big Data and Urban Informatics: Innovations and Challenges to Urban Planning and Knowledge Discovery.- Analytics of user-generated content.- Using User-Generated Content to Understand Cities.- Developing an Interactive Mobile Volunteered Geographic Information Platform to Integrate Environmental Big Data and Citizen Science in Urban Management.- CyberGIS-enabled Urban Sensing from Volunteered Citizen Participation Using Mobile Devices.- Challenges and opportunities of urban Big Data.- The Potential for Big Data to Improve Neighborhood-Level Census Data.- Big Data and Survey Research: Supplement or Substitute?.- Big Spatio-temporal Network Data Analytics for Smart Cities: Research Needs.- A review of heteroscedasticity treatment with Gaussian Processes and Quantile Regression meta-models.- Changing organizational and educational perspectives with urban Big Data.- Urban Informatics: Critical Data and Technology Considerations.- Emerging Urban Digital Infomediaries and Civic Hacking in an Era of Big Data and Open Data Initiatives.- How Should Urban Planners Be Trained to Handle Big Data?.- Energy Planning in Big data Era: A Theme Study of the Residential Sector.- Urban data management.- Using an online spatial analytics workbench for understanding housing affordability in Sydney.- A Big Data Mashing Tool for Measuring Transit System Performance.- Developing a Comprehensive U.S. Transit Accessibility Database.- Seeing Chinese Cities through Big Data and Statistics.- Urban knowledge discovery applied to different urban contexts.- Planning for the Change: Mapping Sea Level Rise and Storm Inundation in Sherman Island Using 3Di Hydrodynamic Model and LiDAR.- The Impact of Land-Use Variables on Free-floating Carsharing Vehicle Rental Choice and Parking Duration.- Dynamic Agent Based Simulation of an Urban Disaster Using Synthetic Big Data.- Estimation of Urban Transport Accessibility at the Spatial Resolution of an Individual Traveler.- Modeling Taxi Demand and Supply in New York City Using Large-Scale Taxi GPS Data.- Detecting stop episodes from GPS trajectories with gaps.- Emergencies and Crisis.- Using Social Media and Satellite Data for Damage Assessment in Urban Areas During Emergencies.- Health and well-being.- ‘Big Data’: Pedestrian Volume Using Google Street View Images.- Learning from Outdoor Webcams: Surveillance of Physical Activity Across Environments.- Mapping Urban Soundscapes via Citygram.- Social equity and data democracy.- Big Data and Smart (Equitable) Cities.- Big Data, Small Apps: Premises and Products of the Civic Hackathon.

Piyushimita (Vonu) Thakuriah is Ch2M Chair of Transportation and Professor of Urban Studies in the University of Glasgow, UK. She is the founding Director of the Urban Big Data Centre, a consortium of seven universities funded by the Economic and Social Research Council. Prior to current position, she was Professor of Urban Planning and Policy, University of Illinois at Chicago. She started her career as a postdoctoral researcher in the National Institute of Statistical Sciences, Research Triangle Park, North Carolina, with a fellowship funded by the National Science Foundation’s (NSF) Division of Mathematical Sciences (DMS). Her research interests are in smart, socially-just and sustainable transportation, and on theories and methods explaining transportation policies and traveler behaviour. Her work has examined "smart" public transportation, bicycle and pedestrian active transportation, as well as in connected/collaborative/shared transportation systems. Vonu’s research has considered the needs of a wide spectrum of travelers including low-wage workers, seniors, persons with disabilities and young adults and her work links social equity and human capital considerations to the labour market, safety, well-being and other outcomes experienced by travelers. She is more broadly interested in Urban Informatics or the analytics of emerging sources of data to understand complex urban problems, and the political economy surrounding many novel forms of data. Such analytics have significant potential to improve livability, learning and engagement in cities and to bring about urban planning, policy and business innovations. Aside from numerous journal articles in these areas, her recent book “Transportation and Information: Trends in Technology and Policy” discusses emerging ICT trends in smart mobility systems. She is currently a European Commission Marie Curie fellow.

Nebiyou Tilahun is an Assistant Professor in the Urban Planning and Policy department at Univers