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Resilient and Responsible Smart Cities

  • Conference proceedings
  • © 2022
  • Latest edition


  • Enriches our understanding about future smart cities and resilient architecture
  • Challenges the reader to take into consideration the concepts of durability and environmental responsibilities
  • Presents a novel interpretation of how future cities should be in light of the Sustainable Development Goals

Part of the book series: Advances in Science, Technology & Innovation (ASTI)

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About this book

This book gathers current research studies which explore new technologies in architecture and urban practices which ensure the efficient management of cities’ infrastructures and provide new solutions to the complex complications that may result in the tackling of challenges of population density, traffic planning, and city planning at the neighborhood scale or rather the scale of buildings and everyday life. It offers a path towards city resilience and sustainable infrastructure with the aim of meeting the demands of mega-cities. The primary audience of this book will be academics and professionals from the fields of architecture, urban planning, civil engineering, computer sciences, and mathematics. The book will aid them in their contributions to the implementation of sustainable development goals.

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Table of contents (12 papers)

  1. Computational Advancements in Future Smart Cities

  2. Challenges and Key Components for Developing Smart Cities

  3. The Path to Future Resiliency: Theory and Application

Editors and Affiliations

  • Department of Civil Engineering, University of Aveiro, Aveiro, Portugal

    Hugo Rodrigues

  • Graduate School of Engineering, Division of Sustainable Energy and Environmental Engineering, Osaka University, Suita, Japan

    Tomohiro Fukuda

  • Department of Computer Science and Department of Architecture and Planning, Norwegian University of Science and Technology (NTNU), Trondheim, Norway

    Simon Elias Bibri

About the editors

Hugo Rodrigues is Associate Professor in the Civil Engineering Department at the University of Aveiro. He received his Ph.D. in Civil Engineering from the University of Aveiro in 2012. His experience in seismic analysis, having participated as a team member in research and development projects, specialized consultancy studies ordered by several public institutions and companies regarding the assessment of seismic risk. His major research interests are building rehabilitation, structural health monitoring, and seismic safety including experimental and numerical activities. He is Research Member of the Risks and Sustainability in Construction (RISCO). He has co-authored several publications in top-tier peer-reviewed journals national and international meetings.

Dr. Tomohiro Fukuda is Associate Professor in the Division of Sustainable Energy and Environmental Engineering, Graduate School of Engineering, Osaka University, Japan. He obtained his Ph.D. (1999), M.E. (1996), and B.E.(1994) in environmental engineering at Osaka University. He worked for Matsushita Electric Works Co., Ltd. (Current: Panasonic Corporation) from 1996 to 2004 and then has been an associate professor at Osaka University since 2004.

He majors in environmental design and advanced information technology. His research interests are mainly environmental design and engineering, design support, computer-aided architectural design, spatial informatics and science, and media architecture. Especially, he has developed environmental design support methods using virtual, augmented and mixed reality (VR/AR/MR), 3-dimensional modeling, CFD (Computational Fluid Dynamics), BIM (Building Information Modeling), and AI (Artificial Intelligence). He has applied his developed methods to actual design projects such as Patio Design in Takamatsu Japan (2005–07), Next Gene 21+ in Taiwan (2007–08), VR Azuchi Castle in Omihachiman Japan (2011–15), and Mizuki Shigeru Road Renewal in Sakaiminato Japan (2016–18).

He is a former president of CAADRIA (the association of Computer Aided Architectural Design Research in Asia) and past representative of AIJ (Architectural Institute of Japan). He is a member of eCAADe (Education and research in Computer-Aided Architectural Design in Europe), JSCE (Japan Society of Civil Engineers), CPIJ (The City Planning Institute of Japan), etc. He has published over 200 journal and international conference papers and 13 books (collective writing). He was made a CAADRIA Fellow (2019) and won the best award of the Kobe lighting design competition (2001), etc.

Simon Elias Bibri is Researcher and Assistant Professor in the area of data-driven smart sustainable cities of the future at the Norwegian University of Science and Technology (NTNU), Department of Computer and Information Science and Department of Architecture and Planning, Trondheim, Norway.

He has pursued a long academic journey by studying a range of subject areas at theintersection of science, technology, and society. His intellectual endeavors and pursuits have resulted in an educational background encompassing knowledge from various disciplines—namely computer science, engineering science, systems science, environmental science, as well as the social sciences. 

He has earned all his Master’s degrees from different Swedish universities, namely Lund University, West University, Blekinge Institute of Technology, Malmö University, Stockholm University, and Mid-Sweden University.

Before embarking on his long academic journey, he had served as a green ICT and sustainability strategist, IT manager, software development engineer, researcher, and consultant. Over the past years and in parallel with his academic studies, he has been involved in a number of research and consulting projects pertaining to environmental innovations, integrated renewable energy and smart energy technologies, smart cities, data strategies for sustainable urban development, sustainable business model innovation, and green ICT strategies.

His current research interests include smart sustainable cities, urban science. philosophy of big data science, social shaping of big data technology, data-driven scientific urbanism, urban computing and intelligence, as well as AIoT and big data analytics and their core enabling technologies, namely sensor technologies, data processing platforms, cloud and fog computing models, simulation models, and decision support systems.

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