A collaborative diagnosis for improving urban resilience, the case of Paris' urban services coping with flood risks
type: Dataset
description: thèse CIFRE réalisée avec Egis, l'École des ingénieurs de la ville de Paris (EIVP) et l'Université Paris-Diderot
landing page: https://theses.hal.science/tel-00958279
keyword: collaboration
keyword: engineering
keyword: floods
keyword: infoeu-reposemanticsdoctoralthesis
keyword: ingenierie
keyword: inondation
keyword: organisation
keyword: organization
keyword: paris
keyword: resilience-urbaine
keyword: sdeieenvironmental-sciencesenvironmental-engineering
keyword: services-urbains
keyword: shsarchihumanities-and-social-sciencesarchitecture-space-management
keyword: shsgeohumanities-and-social-sciencesgeography
keyword: theses
keyword: urban-resilience
keyword: urban-services
issued: 2026-05-05T19:54:35.739816
modified: 2026-05-05T19:54:35.739820
language: fr
contact point: Organization
  fn: CCSD

test_moissonnage_selune
type: Agent

A collaborative diagnosis for improving urban resilience, the case of Paris' urban services coping with flood risks
type: Distribution
format: HTML
access URL: https://theses.hal.science/tel-00958279
issued: 2026-05-05T19:54:35.761872
modified: 2026-05-05T19:54:35.718620