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Innovative Applications of Fuzzy Systems in Urban Resilience Research

Call for Papers

Urban areas face a growing level of challenges around the world. These include natural disasters, climate change, terrorist attack, environmental pollution, and economic shocks. Such stresses or disturbances have resulted in damage and losses on both short term and long term. For example, the total loss caused by natural disasters is nearly 2.97 trillion US dollars while the total number of homelessness reached 173.39 million by 2017 according to EM-DAT. The concept of urban resilience is put forward to better understand the capability of urban areas to cope with the actual or potential disturbances. Rooted in ecology sciences, resilience is defined by Holling as “the persistence of systems and of their ability to absorb change and disturbance and still maintain the same relationships between populations or state variables.” Urban resilience indicates the capability of an urban system to recover from and adapt to actual or potential disturbances. As a dynamic development process, resilience research can be conducted via a number of approaches such as complexity theory, systems theory, the agent based modeling, and the social science. Yet, there is lack of universal definition of urban resilience due to its inherent complexity nature.

Various aspects of urban resilience have been explored in previous studies. These include urban ecological resilience, urban disaster risk reduction, urban and regional economic resilience, and urban governance resilience. Urban resilience has also been examined at community, city, and regional levels. The common approach to assess resilience includes indicator systems and integrated tools. However, the operational quantification of urban resilience remains a big problem. Possible reasons lie in the vague uncertainty and fuzzy nature of urban resilience research. As a professional tool to deal with fuzzy nature, fuzzy systems have been used to assess urban resilience or map the interrelationships of urban resilience indicators with fuzzy systems. Yet, there is lack of holistic approach to examine the application of fuzzy systems in the context of urban resilience.

This Special Issue aims to critically investigate the innovative applications of fuzzy systems in urban resilience research around the world. Specific focus will be placed on problem-solving in urban resilience research with innovative methods based on fuzzy sets theory, fuzzy math, and fuzzy systems. High original research and review papers on applications of fuzzy system in urban resilience research are welcomed.

Researchers are invited to develop the innovative applications of fuzzy system theories and principles in the following aspects.

Potential topics include but are not limited to the following:

  • Theoretical development of urban resilience research
  • Assessing the degree of urban resilience against natural disasters
  • Diagnosing problems of resilience measures to cope with climate change and its implications
  • Evaluating the governance resilience towards terrorist attack
  • Modeling the dynamic interrelationship among ecological, social, and governance resilience towards environmental pollution
  • Critically evaluating experiences of enhancing urban resilience against economic shocks

Authors can submit their manuscripts through the Manuscript Tracking System at

Submission DeadlineFriday, 27 July 2018
Publication DateDecember 2018

Papers are published upon acceptance, regardless of the Special Issue publication date.

Lead Guest Editor

  • Yi Peng, Zhejiang University of Finance & Economics, Hangzhou, China

Guest Editors

  • Jian Zuo, The University of Adelaide, Adelaide, Australia
  • Geoffrey Q. P. Shen, The Hong Kong Polytechnic University, Hung Hom, Hong Kong