Territorialiser l'alerte par diffusion cellulaire, pour optimiser la gestion de crise en France // Cell Broadcast alerts in relation to Territories, for bolstering crisis management
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ABG-135964
ADUM-70241 |
Thesis topic | |
| 2026-02-24 |
Avignon Université
Nice - Provence-Alpes-Côte d'Azur - France
Territorialiser l'alerte par diffusion cellulaire, pour optimiser la gestion de crise en France // Cell Broadcast alerts in relation to Territories, for bolstering crisis management
- Psychology, neurosciences
alerte, crise, France, géomatique, informatique, mathématiques
alert, Cell Broadcast, risk crisis, France, geomatics, informatic
alert, Cell Broadcast, risk crisis, France, geomatics, informatic
Topic description
Depuis juin 2022, les autorités préfectorales peuvent envoyer des notifications d'alerte (via le dispositif FR-Alert) qui s'affichent sur l'écran des téléphones portables des individus situés dans une zone de danger définie. Toutefois, les autorités n'ont aucune idée du nombre de personnes recevant réellement ces alertes (dans et dehors de cette zone). La diffusion étant perturbée par de nombreux facteurs (le nombre et la portée de diffusion des antennes, mais aussi la structure du bâti, la densité et la dynamique de déplacement des individus, la présence de plans d'eau…), des individus peuvent aussi recevoir les alertes alors qu'ils se situent à des kilomètres en dehors de la zone. En croisant des approches géographiques, mathématiques et informatiques, cette thèse vise 3 objectifs : 1) concevoir un outil de simulation pour territorialiser l'alerte par diffusion cellulaire, 2) tester et calibrer le simulateur grâce à des données empiriques (collectées en 2024 et 2025 ou qui pourront être complétées durant la thèse), 3) évaluer l'influence des caractéristiques morphofonctionnelles des territoires sur la qualité de la diffusion de l'alerte, entendue comme l'adéquation spatiale entre la zone théorique et celle réellement alertée.
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Since June 2022, the AAs (especially the prefectoral authorities in France) have been able to broadcast notifications (via the FR-Alert system) that appear on mobile phone of individuals located within a predefined danger zone. However, the authorities have no idea how many people actually receive these alerts (both inside and outside the zone). As transmission is disrupted by numerous factors (the number and range of transmission masts, but also the structure of buildings, the density and movement patterns of individuals, the presence of bodies of water, etc.), individuals may also receive alerts when they are located a few kilometers outside the zone. By combining geographical, mathematical and computer science approaches, this thesis has three objectives: 1) to design a simulation tool to map, spatialize and explain dispersion of alerts via cellular broadcasting, 2) to test and calibrate the simulator using empirical data (collected in 2024 and 2025 or which may be supplemented during the thesis), 3) to assess the influence of the morphofunctional characteristics of territories on the quality of alert dissemination, understood as the spatial adequacy between the theoretical zone and the zone actually alerted. It also aims to fuel the necessary discussions on the structural gaps that exist between the optimal, conceptual formulation and empirical, institutional and decision-making constraints.
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Début de la thèse : 01/10/2026
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Since June 2022, the AAs (especially the prefectoral authorities in France) have been able to broadcast notifications (via the FR-Alert system) that appear on mobile phone of individuals located within a predefined danger zone. However, the authorities have no idea how many people actually receive these alerts (both inside and outside the zone). As transmission is disrupted by numerous factors (the number and range of transmission masts, but also the structure of buildings, the density and movement patterns of individuals, the presence of bodies of water, etc.), individuals may also receive alerts when they are located a few kilometers outside the zone. By combining geographical, mathematical and computer science approaches, this thesis has three objectives: 1) to design a simulation tool to map, spatialize and explain dispersion of alerts via cellular broadcasting, 2) to test and calibrate the simulator using empirical data (collected in 2024 and 2025 or which may be supplemented during the thesis), 3) to assess the influence of the morphofunctional characteristics of territories on the quality of alert dissemination, understood as the spatial adequacy between the theoretical zone and the zone actually alerted. It also aims to fuel the necessary discussions on the structural gaps that exist between the optimal, conceptual formulation and empirical, institutional and decision-making constraints.
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Début de la thèse : 01/10/2026
Funding category
Funding further details
Contrat Doctoral FR AGORANTIC
Presentation of host institution and host laboratory
Avignon Université
Institution awarding doctoral degree
Avignon Université
Graduate school
537 Culture et Patrimoine
Candidate's profile
Prérequis :
- thématiques : connaissance des risques, de l'alerte et du fonctionnement de FR-Alert
- méthodologiques : traitements géomatiques (maîtrise de QGIS et requête SQL ++), ouverture à des investigations informatiques (programmation sous R ou autres) et mathématiques
- opérationnels : maîtrise du paysage des acteurs compétents dans le domaine de l'alerte
Prerequisites: - Thematic: knowledge of risks, alerts and how FR-Alert works. - Methodological: geomatics processing (proficiency in QGIS and SQL ++ queries), openness to IT investigations (programming in R or other languages) and mathematics. - Operational: proficiency in the landscape of relevant actors in the field of alerts.
Prerequisites: - Thematic: knowledge of risks, alerts and how FR-Alert works. - Methodological: geomatics processing (proficiency in QGIS and SQL ++ queries), openness to IT investigations (programming in R or other languages) and mathematics. - Operational: proficiency in the landscape of relevant actors in the field of alerts.
2026-05-07
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