Springer Nature OA
open access
CC BY 4.0
Modelling evacuation mode choice behaviour under an imminent threat of volcanic eruption using logistic regression and machine learning methods
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Experimental data of free evacuations dedicated to the validation of egress models#499434
- Tsunami evacuation planning for Camana, Peru: insights from agent-based modeling#396857
- Forecasting threshold exceedance of atmospheric variables at a specific location#1048677
- Identification and Spatial Differentiation of High-Risk Areas for Brown Bear Incidents in Yushu Prefecture, China, Using Machine Learning and Remote Sensing.#232558
- Advancing Environmental Risk Assessment Through Hydro-Climatological Modeling, Geospatial Analytics, and Machine Learning#446489
Record · ID 660418
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive