Integrated analysis for a resilient urban planning using ensemble modeling and machine learning algorithms
Bibliographic Data
| ID | 22029259 |
|---|---|
| Authors | Giuseppe Bausilio (0000-0003-0977-2253, University of Naples Federico II), Diego Di Martire (0000-0003-0046-9530, University of Naples Federico II, corresponding author), Vincenzo Allocca (0000-0001-7146-2438, University of Naples Federico II), Silvio Coda (0000-0003-2744-4771, University of Naples Federico II), Philip De Vita (0000-0002-0692-8630, University of Naples Federico II), Pantaleone De Vita, Luigi Guerriero (0000-0002-5837-5409, University of Naples Federico II), Domenico Calcaterra (0000-0002-3480-3667, University of Naples Federico II) |
| Year | 2026 |
| Volume | 138 |
| Pages | 106124 |
| Publication date | 2026-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Disaster Risk Reduction (JOURNAL) |
| Journal identifiers | ISSN: 2212-4209 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.ijdrr.2026.106124 |
| OpenAlex | W7147657847 |
| Language | EN |
| References cited | 54 |
Geohazards represent a severe danger to human life and the entire socio-economic fabric all over the world and have gained a pivotal role in urban planning and infrastructure modernization. Using machine learning algorithms and ensemble modeling techniques, geohazards can be modeled and studied with accurate results. While this approach allows the characterization of geohazard impact on urban areas, the study of multirisk and the influence that geohazards assume on each other is still a challenge. Combining the statistical methods with the Rock Engineering Systems, an in-depth analysis of mutual interaction between geohazards can be produced on a multirisk analysis basis. The results describe the geohazard relationships through the Interaction matrix, based on the expert knowledge of the user, and a multirisk map, built from the geohazard susceptibility obtained from the statistical approach, that highlights areas that could be affected by “cascade” or combined effects
Ensemble forecasting · Ensemble learning · Motion planning · Optimization algorithm · Urban planning · Flood Risk Assessment and Management · Infrastructure Resilience and Vulnerability Analysis · Smart Cities and Technologies
Applied Logistic Regression
Selecting pseudo‐absences for species distribution models
New constraints on the pyroclastic eruptive history of the Campanian volcanic Plain (Italy)
An introduction to ROC analysis
Data Analysis
Greedy function approximation
Random Forests
Multi-risk assessment in transboundary areas
Urban flood resilience, a multi-level institutional analysis of planning practices in the Metropolitan City of Naples
The Phlegrean Fields volcanological evolution
Geomorphology of Naples and the Campi Flegrei
Sinkholes threatening places of worship in the historic center of Naples
The Nature of Cities
| Citation velocity | historical |
|---|---|
| Highly cited | No |