Safety of users in road evacuation: modelling and DSS for pedestrian outflow

Gangi, Massimo Di

doi:10.2495/sdp090461

Cited by 5 publications

(5 citation statements)

References 12 publications

(14 reference statements)

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“…As part of the project, several real evacuations of an urban center were carried out. The main results refer to a better understanding of: demand models, considering also SP surveys [31]; supply models with the calibration of the cost functions [32], [33]; design models [34] considering traffic junction regulation [35], [36] and design of the routes for emergency vehicles [37]; appropriate DSS [38], [39] considering multimodality [40], evidencing risk [41], [42]; planning methods [43], comprehensive of evacuation planning [44], [45] training [46], exercises and evaluation tools to reduce risk [47].…”

Section: Demand Models Under Exposure Conditionsmentioning

confidence: 99%

Risk Reduction in Transport System in Emergency Conditions: A Framework for Demand Analysis

Russo

Chilà²

2021

WIT Transactions on the Built Environment

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The aim of this work is to present a framework of the major contributions which consider demand in evacuation conditions. The production of works related to mobility simulation in evacuation conditions has significantly increased after Katrina event from one side and 9/11 event from the other, even if in the last years the attention is decreased. Several models have been developed, but, in most cases, these are implemented considering an isolated area with a non-system approach. In this work it is proposed a classification of literature models which simulate evacuation conditions and are demand-focused in relation to the effect in the transport system, considering mainly models that deal with natural disasters. The classification is presented, after a brief analysis of literature regarding demand models in the framework of behavioural-topological paradigm, core of transportation system model. The basic elements of the dynamic demand models developed in the literature are then recalled, classified according to the components that explain the dynamic aspects (attributes, parameters, residues). Sequential analysis is then proposed as a tool to highlight the presence of dynamic components.

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Section: Demand Models Under Exposure Conditionsmentioning

confidence: 99%

Risk Reduction in Transport System in Emergency Conditions: A Framework for Demand Analysis

Russo

Chilà²

2021

WIT Transactions on the Built Environment

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“…Many authors dealt with emergency conditions both in the preventive and postcatastrophe phases, and some guidelines have been drawn up [10][11][12]. Even scenarios and tools for the mobilization of emergency teams were broadly applied in 'what if' or 'what to' case studies in planning or verifying the evacuation policies in urban areas subject to disasters [13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

An Overview on Decision Support Systems for Risk Management in Emergency Conditions: Present, Past and Future Trends

Gangi¹,

Belcore²,

Polimeni³

2023

IJTDI

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The transport system has a crucial role in economic and social processes. In emergency conditions, a resilient infrastructure has to keep supply chains active through mobilising people and goods. Accordingly, administrations are increasingly using tools such as decision support systems to assist decisionmakers through the evolution of crisis phenomena. The most modern decision support systems will have a modular structure, where acquisition and analysis layers must be recursive. Moreover, innovative solutions let to employ a wide range of data acquired through information and communication technologies and sources of information provided by volunteers. This trend makes realtime information and monitoring a cornerstone to allow decision-makers to implement plans considering the transport system's current conditions and the emergency phases. Thus, the present paper aims to provide a brief critical analysis of the approaches and models developed, highlighting the progress made and their limitations. Finally, the proposal for a general and flexible architecture is outlined; it allows the public administration to approach emergencies by extending the decision-making phases to the various professionals involved in the resolution for a specific instance, thus evaluating the system's optimum solutions in managing: the evacuation process; resources allocation and displacement.

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“… the evacuation planning [1];  the evacuation training [2], [3];  the risk assessment and management [4];  the analysis of the demand for mobility in terms of user behaviour [5];  the study of the performance of the supply model in terms of disutility for users [6];  the interactions between supply and demand models [7]- [9];  the evaluation methods [10], [11].…”

Section: Introductionmentioning

confidence: 99%

Risk Reduction in Transport System in Emergency Conditions: A Framework for Network Design Problems

Vitetta

2021

WIT Transactions on the Built Environment

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In emergency conditions, with dangerous events with effects delayed in the time, the transport supply requires configurations that allow the reduction of the negative effects on people. Therefore, it is necessary to define suitable design methodologies for risk reduction. In the context of the wider problem of the transport demand managing in all its components, this paper reports the problem for the road network design in transport systems. The problem analysed considers the design of the link directions and the traffic light regulation at the junction in the road networks for users and emergency vehicles. The paper: reports a state of the art of the problem; introduces a general framework; formulates the problem in terms of aggregate mathematical models. For further information on the topics reported, the literature cited can be considered.

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Safety of users in road evacuation: modelling and DSS for pedestrian outflow

Cited by 5 publications

References 12 publications

Risk Reduction in Transport System in Emergency Conditions: A Framework for Demand Analysis

Risk Reduction in Transport System in Emergency Conditions: A Framework for Demand Analysis

An Overview on Decision Support Systems for Risk Management in Emergency Conditions: Present, Past and Future Trends

Risk Reduction in Transport System in Emergency Conditions: A Framework for Network Design Problems

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