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Seeing Smart Cities Through a Multi-Dimensional Lens

Perspectives, Relationships, and Patterns for Success

  • Book
  • © 2021

Overview

  • Among the unique features of this book is the typology developed for seeing through the lens of smart cities, providing a theory building tool inviting explorations from urban researchers while opening a space for further testing and validation by urban practitioners going forward;
  • The literature reviews conducted in each chapter enable the identification of key challenges and opportunities which, together with the findings from explorations conducted throughout this work, support the formulation of a series of implications for research and for practice, and the making of recommendations for moving forward;
  • Additionally, this book engages readers with the notion of “seeing” and the metaphor of “seeing through” in support of interpretations and mechanisms for improving understandings of smart cities while posing three questions designed for educators, students, and community leaders at the end of each chapter

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Table of contents (9 chapters)

  1. Smart City Perspectives, Spaces for People, and a Hybrid Study Approach

  2. Emerging Urban Patterns and Relationships Influencing and Informing Smart Cities

  3. Complexity, Disruptiveness, and Transformation in Smart Cities

Keywords

About this book

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.

Authors and Affiliations

  • Victoria, Canada

    H. Patricia McKenna

About the author

Patricia McKenna is the founder and President of AmbientEase (Emergent Adaptive Solutions Everywhere), a Canadian company providing information services to many sectors. As such, Patricia works within and across diverse domains (interdisciplinary) of scholarship and practice, collaborating in team efforts to set up international, national, regional, and local information services, research projects, startups, and other creative and future-oriented initiatives. McKenna is also the Director of the UrbanitiesLab, an initiative focusing on the exploration of smart cities and learning cities. Author of well over 40 publications including, contributions to special journal issues, a book, and chapter contributions to books pertaining to the smart cities’ domain, Patricia is a regular presenter of papers at international conferences as well as a program board member and session organizer. With a focus on smart cities and learning cities, Patricia engages with diverse sectors around useexperience and unexpected possibilities for generating and leveraging increased awareness and creativity in 21st century information environments. Patricia holds a BA from the University of New Brunswick, an MLS from McGill University, and a Doctorate in information management (focusing on emerging technologies) from Syracuse University

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