Use of a Fuzzy Decision-making Approach in an Analysis of the Vulnerability of Street Networks for Disaster Management

Disaster management with respect to urban structures has received more attention in recent years. In disaster management, the most vulnerable structures in a modern society are the critical networks, such as transportation networks. The vulnerability analysis of spatial networks should not depend only on the topological structure; some non-topological attributes, such as population information, should also be considered. In a rescue operation, decision-making problems are very often uncertain or vague because of the lack of information. Therefore, the classi cation of a high or low-risk area on the basis of spatial information should not have crisp boundaries and it would be more reasonable to use a fuzzy approach. In this paper, population information and a betweenness centrality measure of the road network were used as the evaluation criteria, and a fuzzy multiple-attribute decision-making (MADM) approach was used to support a vulnerability analysis of the road network of Finland for disaster management. In order to validate the model, results were compared with original population information and a betweenness attribute map. The validation results showed the hotspots in a fuzzy MADM vulnerability map have a similar pattern to an original input attributes map and the number of hotspots were reduced to a reasonable scale in order to improve rescue e ciency

Training of Crisis Mappers and Map Production from Multi-sensor Data: Vernazza Case Study (Cinque Terre National Park, Italy)

This aim of paper is to presents the development of a multidisciplinary project carried out by the cooperation between Politecnico di Torino and ITHACA (Information Technology for Humanitarian Assistance, Cooperation and Action). The goal of the project was the training in geospatial data acquiring and processing for students attending Architecture and Engineering Courses, in order to start up a team of "volunteer mappers". Indeed, the project is aimed to document the environmental and built heritage subject to disaster; the purpose is to improve the capabilities of the actors involved in the activities connected in geospatial data collection, integration and sharing. The proposed area for testing the training activities is the Cinque Terre National Park, registered in the World Heritage List since 1997. The area was affected by flood on the 25th of October 2011. According to other international experiences, the group is expected to be active after emergencies in order to upgrade maps, using data acquired by typical geomatic methods and techniques such as terrestrial and aerial Lidar, close-range and aerial photogrammetry, topographic and GNSS instruments etc.; or by non conventional systems and instruments such us UAV, mobile mapping etc. The ultimate goal is to implement a WebGIS platform to share all the data collected with local authorities and the Civil Protectio

Stakeholder attributes and approaches in natural disaster risk management in the built environment: the case of flood risk management in transport infrastructure

The increasing number of natural disasters has demonstrated the importance of natural disaster risk management. There is little consensus regarding the role of stakeholder attributes in reducing flood damage and explaining stakeholder approaches. Local Councils are important stakeholders in flood risk management in transport infrastructure. Hence, the characteristics of floods, Local Councils’ stakeholder attributes, and the exposure and vulnerability of the socio-economic and transport infrastructure were contextualised to examine flood damage and Local Councils’ proactive and reactive approaches. This study examines three dominant Local Councils’ stakeholder attributes of power, legitimacy and urgency by focusing on flood damage and Local Councils’ proactive and reactive approaches. Data was collected from historical archive databases and a structured questionnaire survey involving Local Councils in New South Wales, Australia that covered the time period from 1992 to 2012. This data was analysed using multi-attribute decision-making and structural equation modelling with partial least square estimation approaches. The results show that the exposure and vulnerability of Australian states and territories to flood damage depend on both socio-economic and built environment conditions. The greater the flood characteristics such as frequency, severity and type, the greater the flood damage. The exposure and vulnerability of socio-economic and transport infrastructure of a Local Council have mediating effects on the direct relationship between their stakeholder attributes and flood damage. Proactive and reactive approaches by Local Councils are highly affected by stakeholder attributes. The developed stakeholder disaster response index shows that Local Councils have practised more reactive approaches than proactive approaches. Policy makers might use the stakeholder disaster response index through continuous assessment of proactive and reactive approaches to achieve a high level of flood risk management

Stakeholder attributes and approaches in natural disaster risk management in the built environment: the case of flood risk management in transport infrastructure

The increasing number of natural disasters has demonstrated the importance of natural disaster risk management. There is little consensus regarding the role of stakeholder attributes in reducing flood damage and explaining stakeholder approaches. Local Councils are important stakeholders in flood risk management in transport infrastructure. Hence, the characteristics of floods, Local Councils’ stakeholder attributes, and the exposure and vulnerability of the socio-economic and transport infrastructure were contextualised to examine flood damage and Local Councils’ proactive and reactive approaches. This study examines three dominant Local Councils’ stakeholder attributes of power, legitimacy and urgency by focusing on flood damage and Local Councils’ proactive and reactive approaches. Data was collected from historical archive databases and a structured questionnaire survey involving Local Councils in New South Wales, Australia that covered the time period from 1992 to 2012. This data was analysed using multi-attribute decision-making and structural equation modelling with partial least square estimation approaches. The results show that the exposure and vulnerability of Australian states and territories to flood damage depend on both socio-economic and built environment conditions. The greater the flood characteristics such as frequency, severity and type, the greater the flood damage. The exposure and vulnerability of socio-economic and transport infrastructure of a Local Council have mediating effects on the direct relationship between their stakeholder attributes and flood damage. Proactive and reactive approaches by Local Councils are highly affected by stakeholder attributes. The developed stakeholder disaster response index shows that Local Councils have practised more reactive approaches than proactive approaches. Policy makers might use the stakeholder disaster response index through continuous assessment of proactive and reactive approaches to achieve a high level of flood risk management

Seismic Risk Management

Seismic risk management is a problem of many dimensions, involving multiple inputs, interactions within risk factors, criteria, alternatives and stakeholders. The deployment of this process is inherently fraught with the issues of complexity, ambiguity and uncertainty, posing extra challenges in the assessment, modelling and management stages. The complexity of earthquake impacts and the uncertain nature of information necessitate the establishment of a systematic approach to address the risk of many effects of seismic events in a reliable and realistic way. To fulfill this need, the study applies a systematic approach to the assessment and management of seismic risk and uses an integrated risk structure. The fuzzy set theory was used as a formal mathematical basis to handle uncertainties involved within risk parameters. Throughout the process, the potential impacts of an earthquake as the basic criteria for risk assessment were identified and relations between them were accommodated through a hierarchical structure. The various impacts of an earthquake are then aggregated through a composite fuzzy seismic risk index (FSRi) to screen and prioritize the retrofitting of a group of school buildings in Iran. Given the imprecise data which is the prime challenge for development of any risk model, the proposed model demonstrates a more reliable and robust methodology to handle vague and imprecise information. The significant feature of the model is its transparency and flexibility in aggregating, tracing and monitoring the risk impacts. The novelty of this study is that it serves as the first attempt of the process of a knowledge base risk-informed system for ranking and screening the retrofitting group of school buildings. The model is capable of integrating various forms of knowledge (quantitative and qualitative information) extracted from different sources (facts, algorithms, standards and experience). The outcomes of the research collectively demonstrate that the proposed system supports seismic risk management processes effectively and efficiently

Earthquake risk assessment using an integrated Fuzzy Analytic Hierarchy Process with Artificial Neural Networks based on GIS: A case study of Sanandaj in Iran

Earthquakes are natural phenomena, which induce natural hazard that seriously threatens urban areas, despite significant advances in retrofitting urban buildings and enhancing the knowledge and ability of experts in natural disaster control. Iran is one of the most seismically active countries in the world. The purpose of this study was to evaluate and analyze the extent of earthquake vulnerability in relation to demographic, environmental, and physical criteria. An earthquake risk assessment (ERA) map was created by using a Fuzzy-Analytic Hierarchy Process coupled with an Artificial Neural Networks (FAHP-ANN) model generating five vulnerability classes. Combining the application of a FAHP-ANN with a geographic information system (GIS) enabled to assign weights to the layers of the earthquake vulnerability criteria. The model was applied to Sanandaj City in Iran, located in the seismically active Sanandaj-Sirjan zone which is frequently affected by devastating earthquakes. The Multilayer Perceptron (MLP) model was implemented in the IDRISI software and 250 points were validated for grades 0 and 1. The validation process revealed that the proposed model can produce an earthquake probability map with an accuracy of 95%. A comparison of the results attained by using a FAHP, AHP and MLP model shows that the hybrid FAHP-ANN model proved flexible and reliable when generating the ERA map. The FAHP-ANN model accurately identified the highest earthquake vulnerability in densely populated areas with dilapidated building infrastructure. The findings of this study are useful for decision makers with a scientific basis to develop earthquake risk management strategies

Multicriteria Fuzzy Analysis for a GIS-Based Management of Earthquake Scenarios

Objective of this article is the formulation andthe implementation of a decision-making model for theoptimal management of emergencies. It is based on theaccurate definition of possible scenarios resulting fromprediction and prevention strategies and explicitly takesinto account the subjectivity of the judgments of prefer-ence. To this end, a multicriteria decision model, basedon fuzzy logic, has been implemented in a user-friendlygeographical information system (GIS) platform so asto allow for the automation of choice processes betweenseveral alternatives for the spatial location of the investi-gated scenarios. In particular, we have analyzed the po-tentialities of the proposed approach in terms of seismicrisk reduction, simplifying the decision process leadingto the actions to be taken from directors and managers ofcoordination services. Due to the large number of vari-ables involved in the decision process, it has been pro-posed a particularly flexible and streamlined method inwhich the damage scenarios, based on the vulnerabilityof the territory, have represented the input data to de-rive a vector of weights to be assigned to different de-cision alternatives. As an application of the proposedapproach, the seismic damage scenario of a region of400 km2, hit by the 2009 earthquake in L’Aquila (Italy),has been analyzed

The Selection of Learning Platforms to Support Learning Using Fuzzy Multiple Attribute Decision Making

The utilization of information technology in learning has functioned as a tool in the teaching and learning process during the Covid-19 pandemic. The need for the availability of a learning platform using LMS (Learning Management System) or free e-learning that is easily obtained from the public network (internet) makes the utilization of the learning platform indispensable for the teaching and learning process. Learning platforms available on the internet can also be used independently by students. However, not all existing learning platforms can be used as the appropriate means to improve the quality of education. The educator policies are needed to utilize the existing learning platforms so that learning objectives can be achieved. This study will analyze how to choose the right learning platform for an educational institution using SAW (Simple Additive Weighting)-based Fuzzy Multiple Attribute Decision Making (FMADM) method. FMADM is a method used to find the optimal alternative from a number of alternatives with certain criteria. The purpose of this study is to assist educators in deciding the most appropriate learning platform that can be used to support the teaching and learning process during the Covid 19 pandemic

GIS Flood Prone Agricultural Land East Java Using Multi-Method Attribute Utility Theory

East Java has various regional conditions. The condition of the area certainly has the potential for disasters that have a significant impact on the agricultural sector. Flood is one of the factors that damage agricultural land. Flood risk management plays an important role in guiding the government in making timely and appropriate decisions for flood rescue and relief. The purpose of this research is a study of flood risk assessment in the agricultural sector in East Java using Multi Attribute Utility Theory. The Multi Attribute Utility Theory is used to solve problems related to spatial planning and disaster management because it is systematic and suitable for solving complex problems such as the agricultural sector. The results showed that the agricultural land areas in East Java with the category of very flood-prone include Bojonegoro, Lamongan, Tuban, and Sidoarjo Regencies. Furthermore, the results of this study were visualized by mapping flood risk using a GIS. This can be used for efforts in flood disaster management. This research is expected to assist policy making at the Department of Agriculture and Food Security in monitoring flood-prone agricultural land in order to minimize the occurrence of flood disasters in the agricultural sector

Decision Analysis for Management of Natural Hazards

Losses from natural hazards, including geophysical and hydrometeorological hazards, have been increasing worldwide. This review focuses on the process by which scientific evidence about natural hazards is applied to support decision making. Decision analysis typically involves estimating the probability of extreme events; assessing the potential impacts of those events from a variety of perspectives; and evaluating options to plan for, mitigate, or react to events. We consider issues that affect decisions made across a range of natural hazards, summarize decision methodologies, and provide examples of applications of decision analysis to the management of natural hazards. We conclude that there is potential for further exchange of ideas and experience between natural hazard research communities on decision analysis approaches. Broader application of decision methodologies to natural hazard management and evaluation of existing decision approaches can potentially lead to more efficient allocation of scarce resources and more efficient risk management