Seeing Smart Cities Through a Multi-Dimensional Lens [electronic resource] : Perspectives, Relationships, and Patterns for Success /

Foreword -- Preface -- List of Abbreviations -- Section 1 –Smart City Perspectives, Spaces for People, and a Hybrid Study Approach . Chapter 1: Perspectives on Smart Cities: An Introduction and Background -- Chapter 2: Sensing as Seeing: Creating Spaces for People in Smart Cities -- Chapter 3: A Hybrid Approach to Seeing Through Smart Cities: Combining Correlational and Case Study Research Designs -- Section 2 – Emerging Urban Patterns and Relationships influencing and Informing Smart Cities -- Chapter 4: Awareness and Seeing: People and Data in Smart Cities -- Chapter 5: Learning and Data in Smart Cities -- Chapter 6: Openness and Data Access in Smart Cities -- Chapter 7: Innovation and Data in Smart Cities -- Section 3 – Complexity, Disruptiveness, and Transformation in Smart Cities -- Chapter 8: Disruption in Smart Cities/Regions: Navigating Pathways and Directions for Success -- Chapter 9: After Synthesizing and Analyzing: A Typology for Seeing Through Smart Cities -- Index.

This book provides an interdisciplinary lens for exploring, assessing, and coming to new understandings of smart cities and regions, focusing on the six dimensions of sensing, awareness, learning, openness, innovation, and disruption. Using a hybrid case study and correlational approach, people from diverse sectors in a variety of small to medium to large-sized cities in multiple countries (e.g., Canada, United States, Ireland, Greece, Israel, etc.) provide experience-based perspectives on smart cities together with assessments for elements pertaining to each of the six dimensions. The analysis of findings in this work surfaces a rich and interwoven tapestry of patterns from the qualitative data highlighting for example, the importance of emotion/affect, privacy, trust, and data visualizations in influencing and informing the directions of smart cities and regions going forward. Correlational analysis of quantitative data reveals the presence and strength of emerging relationships among elements assessed, shedding light on factors that may serve as starting points for understanding what is contributing to potentials for improving success in smart cities and regions.