Skip to Main content Skip to Navigation

Modélisation d'indicateurs de résilience urbaine face au risque d'inondation : co-construction d'un système spatial à la décision pour contribuer à l'opérationnalisation du concept de résilience

Abstract : In a context of climate change, increased urban flooding and increased uncertainty, urbanmanagers are forced to innovate to design appropriate risk management strategies. Among thesestrategies, making cities resilient has become an imperative. The concept of resilience is amultidisciplinary concept that defines the ability of a system to absorb a disturbance and then recoverits functions. This concept refers to technical, urban, social, architectural, architectural, economic andpolitical innovation and calls into question traditional risk management systems. This injunction toinnovation is perfectly adapted to the urban, economic, political, social and ecological complexity ofthe contemporary world. As a result, the concept of resilience is integrated with urban sprawl issues andassociated risks. However, despite this theoretical and conceptual adequacy, resilience remains complexto integrate into the practices of urban planners and territorial actors. Its multitude of definitions andapproaches have contributed to its abstraction and lack of operationalization.In response to this observation, this research aims to address these operational gaps by buildinga spatial decision support system to clarify and promote the integration of the concept into urbanpractices. The idea behind this approach is that urban resilience embodies the abilities and capacities ofa city and its population to develop before, during and after a disruptive event in order to limit itsnegative impacts. This scientific positioning therefore makes it possible to analyze urban resilience as acontinuum, highlighting proactive capacities that the urban system must develop in order to (re)act inthe face of flooding. This work was based on a socio-economic partnership with the City of Avignonand its GIS Service (Geographic Information System). The approach made it possible to build threemeasurement indicators to address the urban, technical and social resilience of the Avignon area. Theseindicators have made it possible to acquire information on the variables defining potential resilience thatwould foster the emergence of an adequate response to a natural disaster and more precisely to an urbanflood. The use of geovisualization techniques has made it possible to visualize treatments and results inorder to explain the approach to urban managers. At the same time, consultation workshops were heldto present and discuss the results obtained through the indicators with critical infrastructure managersand managers.The co-construction of these indicators, in order to build an analysis and knowledge aroundurban resilience, followed by the implementation of workshops with stakeholders in the territory, inorder to promote the territorial decision-making process, has made it possible to develop a culture ofresilience. This spatial decision support system has therefore made it possible to pool theoretical andpractical knowledge on urban risk and resilience issues in order to reach the consensus necessary fordecision-making and the operationalization of resilience.
Document type :
Complete list of metadata

Cited literature [573 references]  Display  Hide  Download
Contributor : Abes Star :  Contact Connect in order to contact the contributor
Submitted on : Wednesday, July 8, 2020 - 9:39:12 AM
Last modification on : Tuesday, October 19, 2021 - 10:59:07 PM
Long-term archiving on: : Monday, November 30, 2020 - 1:35:11 PM


Version validated by the jury (STAR)


  • HAL Id : tel-02893161, version 1


Charlotte Heinzlef. Modélisation d'indicateurs de résilience urbaine face au risque d'inondation : co-construction d'un système spatial à la décision pour contribuer à l'opérationnalisation du concept de résilience. Etudes de l'environnement. Université d'Avignon; Université de Mons, 2019. Français. ⟨NNT : 2019AVIG1197⟩. ⟨tel-02893161⟩



Record views


Files downloads