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  1. Projects

RISK: Recovery Increasing by Social Knowledge

Project
How can the risk be reduced by employing urban evacuation? How can transport system models interact with emerging ICT to support evacuation? How can citizens become a key part of the overall process? How to provide to the evacuees the best social knowledge about safe destinations and routes to increase recovery? How may benefit be re-defined by considering the reduction of evacuation times, or the increasing number of evacuees? The research project RISK, attempting to respond to the questions mentioned above, aims in all its phases to increase collective interest by increasing resilience and mainly following recovery for social risks. Two Research Units will carry out the project. UNIRC will work on risk and travel demand models to estimate the risk reduction (by exposure) and to forecast route choices and utilities for evacuees in presence of emergent ICT (e.g. Internet of Things, IoT) after that a dangerous event, whose effects involve a portion of a town, occurs. UNICAL will develop a Digital Twin (DT) to forecast travel costs (disutilities) updated on the network (by IoT), once the event has occurred. The project consists in four main activities. The first activity concerns the state of the art of the theoretical and experimental results available in the literature, for the two working areas (models, emerging ICT) on which the Research Units are engaged. The second activity concerns methods to be used a-priori for the development of the architecture of the models. The output will be the forecasted attributes on travel demand (forecasted evacuees’ route choices) and network (forecasted travel times, flows) and the DT architecture. The third activity will concern the experimentation, testing and evaluation of the models and the DT, by means of a lab survey of a sample of evacuees inside a portion of a selected town introducing the information given by IoT. The output will be represented by the experienced attributes on demand (experienced evacuees’ route choices) and on network (experienced travel times, flows) and the validation of models. The fourth activity will concern the results analysis by comparing the forecasted vs. experienced demand and network attributes. The results will be delivered to public administration and private potential stakeholders, who work on evacuation planning.
  • Overview
  • Research

Overview

Contributor (4)

RUSSO Francesco   Scientific Manager  
MUSOLINO Giuseppe   Participant  
RINDONE Corrado   Participant  
VITETTA Antonino   Participant  

Representatives

SANTACATERINA Santo   Administrative  

Leading department

Dipartimento di Ingegneria dell'Informazione, delle Infrastrutture e dell'Energia Sostenibile   Principale  

Term type

PRIN 2022

Financier

Ministero dell'Università e della Ricerca
Funding Organization

Partner

Università degli Studi della CALABRIA

Research

Concepts (7)


SH7_5 - Sustainability sciences, environment and resources, ecosystem services - (2024)

SH7_7 - Cities; urban, regional and rural studies - (2024)

SH7_9 - Energy, transportation and mobility - (2024)

Goal 11: Sustainable cities and communities

Goal 13: Climate action

Goal 1: No poverty

Settore CEAR-03/B - Trasporti

Free text keywords (5)

  • ascendant
  • decrescent
ICT
Mathematical Modeling
Transport System Models
evacuation
safety
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