Carsí, J. A., Canós, J. H., Penadés, Mª C., Sánchez-Díaz, J., & Borges, M. R. S. (2023). Towards a Generic Metamodel for Urban Resilience Assessment. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 1059–1068). Omaha, USA: University of Nebraska at Omaha.
Abstract: The proliferation of natural and artificial disasters in the last decades has made urban resilience enforcement a strategic goal of city governments worldwide and a hot research topic for academics and practitioners. Consequently, several urban resilience assessment and improvement frameworks have been proposed. Some frameworks have associated operational tools, but these systems are not interoperable with other frameworks' utilities, forcing cities to use different tools for evaluating various aspects of resilience. Since data must be converted manually from one tool to another, the conversion may be error-prone and tedious. In this paper, we report the steps toward defining an urban resilience metamodel that intends to be at the core of a multi-framework urban resilience management portal. Our goal is to provide city administrators with a single operational tool able to evaluate resilience according to different frameworks, thanks to the definition of semantic interoperability mechanisms between the frameworks and the metamodel
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López-Catalán, B., & Bañuls, V. A. (2023). A Topic Modeling Approach for Extracting Key City Resilience Indicators. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 944–952). Omaha, USA: University of Nebraska at Omaha.
Abstract: In the field of urban resilience, there is a great diversity of approaches to measuring the level of resilience in cities. This information is scattered among reports and academic articles. In this ongoing research paper, we explore the potential of Topic Modeling to analyze this information, in order to determine cluster indicators for a set of academic papers and resilience frameworks. These clusters are referred to as Key City Resilience Indicators (KCRI), which are used as reference to facilitate the measurement of urban resilience regardless of the context, including all the key dimensions required for cities to achieve resilience. Topic modeling outcomes can be used to generate indicators based on each topic or to automatically classify a new set of indicators in each of the established topics. These results can be applied to any resilience framework
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Eulalia Gomez Martin, Josune Hernantes, Leire Labaka, & Marcos Borges. (2022). Building upon the Existing Knowledge: Updating and Improving the Smart Mature Resilience Model. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 437–459). Tarbes, France.
Abstract: In recent years the concept of urban resilience has acquired great relevance within urban planning. The complexity of urban systems and the wide scope of the resilience concept require tools to facilitate the integration of the concept in urban development. Numerous studies, tools, and theoretical frameworks have been developed to support the resilient transformation of cities. However, these initiatives are usually not holistically integrated and limit incorporating the changes and advances in the resilience concept. This article highlights the importance of shifting from a continuously-building-new approach to building on an existing knowledge approach. This study has updated and improved the maturity model developed within the Horizon 2020 project Smart Mature Resilience. A bibliometric analysis was carried out to study the developments in resilience over the past four years and to integrate the relevant advances in the area into a new version of the Smart Mature Resilience Maturity Model (SMR MM).
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Victor A. Bañuls, Andrzej M. Skulimowski, & José Antonio Román Begines. (2021). Disaster Resilience Modeling of Municipal Water Supply Infrastructures in the Context of Atmospheric Threats. In Anouck Adrot, Rob Grace, Kathleen Moore, & Christopher W. Zobel (Eds.), ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management (pp. 198–207). Blacksburg, VA (USA): Virginia Tech.
Abstract: The resilience of water supply infrastructure (WSI) is of utmost importance as threats to predominantly, although not exclusively, urban WSI may accompany virtually all kinds of natural disasters. In this paper, we present some of the challenges posed by climate change in modeling emergencies in WSIs. Climate change is a global phenomenon that significantly impacts global lifestyle. It is expected that increase in global temperatures causes sea levels to rise, increases the number of extreme weather events such as floods, droughts, and storms while highly impacting WSI. In this respect, the challenge is to be prepared for the unexpended by modeling various complex scenarios. Only with a multidisciplinary approach at the global, regional, national, and local levels, can success be achieved. We discuss some of the specific challenges posed by climate change in modeling emergencies in WSIs with a case study modeled using EMERTIC. EMERTIC is a software based on AI and scenarios, that is aimed at supporting decision making at different stages of the Emergency Management cycle.
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Sadeeb Ottenburger, & Thomas Münzberg. (2017). An Approach for Analyzing the Impacts of Smart Grid Topologies on Critical Infrastructure Resilience. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 400–411). Albi, France: Iscram.
Abstract: The generation and supply of electricity is currently about to undergo a fundamental transition that includes extensive development of smart grids. Smart grids are huge and complex networks consisting of a vast number of devices and entities which are connected with each other. This fact opens new variations of disruption scenarios which can increase the vulnerability of a power distribution network. However, the network topology of a smart grid has significant effects on urban resilience particularly referring to the adequate provision of vital services of critical infrastructures. An elaborated topology of smart grids can increase urban resilience. In this paper, we discuss the role of smart grids, give research impulses for examining diverse smart grid topologies and for evaluating their impacts on urban resilience by using an agent based simulation approach which considers smart grid topology as a model parameter.
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