Developing a functional model for cities impacted by a natural hazard: application to a city affected by flooding

Abstract

Abstract. The experience feedback on a crisis that hit a city is frequently used as a "recollection" tool. To capitalize information about an experience feedback from the cities that have been affected by a natural hazard, the authors propose in this study a functional model to model scenarios of city crises. In this model, the city, considered as a complex system, was modelled using a functional analysis method. Based on such modelling, two risk analysis methods (Failure Mode and Effect Analysis and Event Tree Method) were deployed and adjusted. Lastly, a qualitative reasoning model was used for the scenario modelling of the urban crisis. By functional modelling performed on components of the cities, the objective of this model is to replicate the behaviour of a city affected by a crisis, highlighting the sequences of failure and non-failure modes that have operated during the crisis. This model constitutes a means of understanding the functional behaviour in a crisis of cities and capitalization of the experience feedback of the cities affected by crisis. Such functional modelling was deployed in a case study.

Systemic Dynamics and Learning Scenarios for Process Improvement and Regional Resilience: A Study in the Footwear Industry of Southern Brazil

“…Sustainability is defined at the macro level of societies and when incorporated into the organization it encompasses three pillars: economic, environmental and social. These three dimensions interact [1] [17]. Thus, the sustainability of an organization has become one of the main focuses of contemporary management [18] [19].…”

Towards Efficient Use of an Unmanned Aerial Vehicle for Urban Flood Monitoring

“…For example, Bambara et al (2015) proposed a functional method to model scenarios of crises, including flooding, based on risk analysis. However, the method has limited usefulness in real time prediction and crisis management.…”

Analysis of a risk prevention document using dependability techniques: a first step towards an effectiveness model

“…Residents are also generally thought to have a lower human vulnerability than tourists, as risk awareness is often attributed to locally rooted populations (Hubert and De Vanssay, 2005). However, in the sample of victims of floods in the Mediterranean between 1998 and 2011 studied by Boissier (2013), only 30 out of 203 people were nonresidents. Even though several other factors may have to be considered, non-residents are less vulnerable because they are more prone to taking instructions, more respectful of evacuation orders and less inclined to take risks (going to school to pick up their children, saving personal belongings because less property needs to be saved, etc.)…”