Disaster Risk Reduction in the Built Environment in Sri Lanka- An overview

Natural disasters have long-term implications on sustainable development. They mainly destroy the built environment thereby hindering economic and social development, and causing environment degradation. Reducing the risk of natural disasters within the built environment is therefore critical for ensuring sustainable development. The paper in this context, aims to assess the current state of disaster risk reduction in the built environment in Sri Lanka. Empirical data was collected employing semi-structured in-depth interviews which were conducted with a group of professionals who were involved in disaster risk reduction in the built environment in Sri Lanka. The data was analysed following thematic analysis. The paper reveals the current state of disaster risk reduction in the built environment requires to be improved to achieve a satisfactory level of success whilst highlighting a number of barriers that hinder the desired progress. Deficient funds and weak regulatory framework are identified as major barriers for successful implementation. Central and local government authorities are identified as the primarily responsible parties for disaster risk reduction in the built environment in Sri Lanka in the paper. The paper further presents various recommendations on how to improve the current situation

Social Media for Cities, Counties and Communities

Social media (i.e., Twitter, Facebook, Flickr, YouTube) and other tools and services with user- generated content have made a staggering amount of information (and misinformation) available. Some government officials seek to leverage these resources to improve services and communication with citizens, especially during crises and emergencies. Yet, the sheer volume of social data streams generates substantial noise that must be filtered. Potential exists to rapidly identify issues of concern for emergency management by detecting meaningful patterns or trends in the stream of messages and information flow. Similarly, monitoring these patterns and themes over time could provide officials with insights into the perceptions and mood of the community that cannot be collected through traditional methods (e.g., phone or mail surveys) due to their substantive costs, especially in light of reduced and shrinking budgets of governments at all levels. We conducted a pilot study in 2010 with government officials in Arlington, Virginia (and to a lesser extent representatives of groups from Alexandria and Fairfax, Virginia) with a view to contributing to a general understanding of the use of social media by government officials as well as community organizations, businesses and the public. We were especially interested in gaining greater insight into social media use in crisis situations (whether severe or fairly routine crises, such as traffic or weather disruptions)

Metamodelling Approach To Support Disaster Management Knowledge Sharing

Handling uncertain events that could happen anytime and anywhere and dealing with many complex systems interconnected physically and socially makes Disaster Management (DM) a multidisciplinary endeavor and a very difficult domain to model. In this paper we present a development and validation of a Disaster Management Metamodel (DMM), a language that we develop specific for describing DM domain. The metamodel, a precise definition of the constructs and rules needed for creating the semantic models of DM domain consists of four views based on four DM phases including Mitigation, Preparedness, Response and Recovery-phase classes of concept. A Model Importance Factor (MIF) criterion is used to identify 10 existing disaster management models to evaluate the expressiveness and the completeness of DMM. The paper presents the synthesis process and the resulting metamodel, as a foundational component to create a Disaster Management Decision Support System (DMDSS) to unify, facilitate and expedite access to DM expertise

Modelling Case-Based Reasoning in Situation-Aware Disaster Management

Situation-aware disaster management (SADIM) is a continuous decision-making and action taking process. This process requires prior knowledge of the ongoing environment and context. SADIM comprises two major processes: situation awareness (SA) - a cognitive process that assesses current situations and anticipate future situations in the environment; and, disaster management (DM) which is a decision-making process preventing, preparing, responding, and recovering for and from a disaster. One of the decision-making technologies used in current SADIM is case-based reasoning (CBR) CBR is used for the disaster management element only. Situation awareness process in current SADIM is carried out using domain rules, statistical reasoning and other methods. This paper therefore presents a method of using CBR to carry out both situation assessment and disaster management decision-making processes in SADIM, building on previous work focusing in SA alone. Using CBR for both processes provides the capability of using past experiences to understand the state of the environment and also solve specific disaster problems. The paper evaluates the method through implementation in disaster prevention in the petroleum drilling domain for early kick detection to prevent a blowout disaster. The results show a clear improvement in similarity assessment and problem solving prediction to prevent blowout

Social vulnerability and disaster risk reduction needs: perspectives of women

Integration of disaster risk reduction needs and experiences of different groups in the community with the built environment is significant to achieve disaster resilience. It facilitates identifying the nature of disaster vulnerabilities within a particular community leading to achieve disaster risk reduction more effectively. Women‘s needs and experiences are prominent in this context since women have been identified as a highly vulnerable group to disasters. Women‘s higher disaster vulnerability is typically determined by their social roles and responsibilities. Their responsibilities over production and reproduction frequently expose them to different conditions in disasters with varying vulnerabilities. This paper is based on a doctoral research that aims to investigate how women‘s knowledge, experiences and needs and concerns in relation to disaster risk reduction can be identified and integrated with disaster risk reduction in the built environment. A comprehensive literature review has been carried out in order to explore various aspects of social vulnerability, disaster implications on women, women‘s needs in disaster risk reduction and the means of needs capturing and integration. Participatory methods such as public consultations are suggested as the most effective ways of capturing disaster risk reduction needs of community women in literature whilst the significant role of construction process and people involved in it is highlighted for integrating the needs with the built environment

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