Information spreading during emergencies and anomalous events

The most critical time for information to spread is in the aftermath of a serious emergency, crisis, or disaster. Individuals affected by such situations can now turn to an array of communication channels, from mobile phone calls and text messages to social media posts, when alerting social ties. These channels drastically improve the speed of information in a time-sensitive event, and provide extant records of human dynamics during and afterward the event. Retrospective analysis of such anomalous events provides researchers with a class of "found experiments" that may be used to better understand social spreading. In this chapter, we study information spreading due to a number of emergency events, including the Boston Marathon Bombing and a plane crash at a western European airport. We also contrast the different information which may be gleaned by social media data compared with mobile phone data and we estimate the rate of anomalous events in a mobile phone dataset using a proposed anomaly detection method.Comment: 19 pages, 11 figure

Modeling emergency management data by UML as an extension of geographic data sharing model: AST approach

Applying GIS functionality provides a powerful decision support in various application areas and the basis to integrate policies directed to citizens, business, and governments. The focus is changing toward integrating these functions to find optimal solutions to complex problems. As an integral part of this approach, geographic data sharing model for Turkey were developed as a new approach that enables using the data corporately and effectively. General features of this model are object-oriented model, based on ISO/TC211 standards and INSPIRE Data Specifications, describing nationwide unique object identifiers, and defining a mechanism to manage object changes through time. The model is fully described with Unified Modeling Language (UML) class diagram. This can be a starting point for geographic data providers in Turkey to create sector models like Emergency Management that has importance because of the increasing number of natural and man-made disasters. In emergency management, this sector model can provide the most appropriate data to many "Actors" that behave as emergency response organizations such as fire and medical departments. Actors work in "Sectors" such as fire department and urban security. Each sector is responsible for "Activities" such as traffic control, fighting dire, emission, and so on. "Tasks" such as registering incident, fire response, and evacuating area are performed by actors and part of activity. These tasks produce information for emergency response and require information based on the base data model. By this way, geographic data models of emergency response are designed and discussed with "Actor-Sector-Activity-Task" classes as an extension of the base model with some cases from Turkey

Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation: Special Report of the Intergovernmental Panel on Climate Change

This Special Report on Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation (SREX) has been jointly coordinated by Working Groups I (WGI) and II (WGII) of the Intergovernmental Panel on Climate Change (IPCC). The report focuses on the relationship between climate change and extreme weather and climate events, the impacts of such events, and the strategies to manage the associated risks. The IPCC was jointly established in 1988 by the World Meteorological Organization (WMO) and the United Nations Environment Programme (UNEP), in particular to assess in a comprehensive, objective, and transparent manner all the relevant scientific, technical, and socioeconomic information to contribute in understanding the scientific basis of risk of human-induced climate change, the potential impacts, and the adaptation and mitigation options. Beginning in 1990, the IPCC has produced a series of Assessment Reports, Special Reports, Technical Papers, methodologies, and other key documents which have since become the standard references for policymakers and scientists.This Special Report, in particular, contributes to frame the challenge of dealing with extreme weather and climate events as an issue in decisionmaking under uncertainty, analyzing response in the context of risk management. The report consists of nine chapters, covering risk management; observed and projected changes in extreme weather and climate events; exposure and vulnerability to as well as losses resulting from such events; adaptation options from the local to the international scale; the role of sustainable development in modulating risks; and insights from specific case studies

Sandy Regional Assembly Recovery Agenda

On January 26, 2013, nearly 200 participants representing over 40 community, environmental justice, labor and civic groups from across New York City, New Jersey and Long Island -- from the neighborhoods most impacted by Superstorm Sandy, and most vulnerable to future storm surges convened the Sandy Regional Assembly to strategize how government officials should implement a Sandy rebuilding program.In April 2013, these groups presented their Sandy Regional Assembly Recovery Agenda -- the first regional grassroots Sandy rebuilding and resiliency plan. The Recovery Agenda was a mix of suggested capital projects and policy recommendations, designed to advance 3 goals:Integrate regional rebuilding efforts with local resiliency priorities;Strengthen vulnerable communities & reduce public health threats, andExpand community-based climate change planning, disaster preparedness & response

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

Secure & Prepared, October 4, 2006, Vol.2, no.19

Secure & Prepared is a bi-weekly publication of the Iowa Homeland Security & Emergency Management Division for those involved in the homeland security system in the state of Iowa

3D and 4D Simulations for Landscape Reconstruction and Damage Scenarios. GIS Pilot Applications

The project 3D and 4D Simulations for Landscape Reconstruction and Damage Scenarios: GIS Pilot Applications has been devised with the intention to deal with the demand for research, innovation and applicative methodology on the part of the international programme, requiring concrete results to increase the capacity to know, anticipate and respond to a natural disaster. This project therefore sets out to develop an experimental methodology, a wide geodatabase, a connected performant GIS platform and multifunctional scenarios able to profitably relate the added values deriving from different geotechnologies, aimed at a series of crucial steps regarding landscape reconstruction, event simulation, damage evaluation, emergency management, multi-temporal analysis. The Vesuvius area has been chosen for the pilot application owing to such an impressive number of people and buildings subject to volcanic risk that one could speak in terms of a possible national disaster. The steps of the project move around the following core elements: creation of models that reproduce the territorial and anthropic structure of the past periods, and reconstruction of the urbanized area, with temporal distinctions; three-dimensional representation of the Vesuvius area in terms of infrastructuralresidential aspects; GIS simulation of the expected event; first examination of the healthcareepidemiological consequences; educational proposals. This paper represents a proactive contribution which describes the aims of the project, the steps which constitute a set of specific procedures for the methodology which we are experimenting, and some thoughts regarding the geodatabase useful to “package” illustrative elaborations. Since the involvement of the population and adequate hazard preparedness are very important aspects, some educational and communicational considerations are presented in connection with the use of geotechnologies to promote the knowledge of risk

Measuring the impact of natural disasters on capital markets: An empirical application using intervention analysis

This paper examines the impact of natural disasters on the Australian equity market. The data set employed consists of daily price and accumulation returns over the period 31 December 1982 to 1 January 2002 for the All Ordinaries Index (AOI) and a record of forty-two severe storms, floods, cyclones, earthquakes and bushfires (wildfires) during this period with an insured loss in excess of AUD5 mil. and/or total loss in excess of AUD100 mil. Autoregressive moving average (ARMA) models are used to model the returns and the inclusion of news arrival in the form of the natural disasters is specified using intervention analysis. The results indicate bushfires, cyclones and earthquakes have a major effect on market returns, unlike severe storms and floods. The net effects can be positive and/or negative with most effects being felt on the day of the event and with some adjustment in the days that follow.Natural events, disasters and catastrophes, market returns, intervention analysis, ARMA

Geographic Information Systems (GIS) in Humanitarian Assistance: A Meta-Analysis

Every year natural and man-made disasters cause mass population displacement, loss of lives, and human suffering. On a given disaster several international or non-profit organizations will respond depending on the region in need as well as media and donor attention Olsen, Gorm Rye, et al (2003). Because of the extreme unique difficulties found in each disaster zone such as infrastructural damages, uncertain demand and supply, geographical challenges and time pressures, it is imperative that humanitarian organizations have readily available and applicable response methodologies as well as information technologies to increase their relief impact. In regards to the latter Geographic Information Systems (GIS) has proven to be an indispensable tool in the humanitarian sector. However, despite there being great recognition in regards to the importance of geospatial information in relief operations there is still a knowledge gap in regards to all the different tasks and uses of GIS in the humanitarian sector. For example, Espindola et al (2016) lament that despite the recent increase in literature which utilizes GIS for humanitarian logistics most of the research is limited to net-work analysis and also that GIS’s full potential for disaster relief has not been fully tapped. This meta-analysis, for the first time, seeks to address such gap of knowledge by achieving two main goals: (1) To better understand the various ways in which Geographic Information System (GIS) can be applied in humanitarian settings by revealing how the academic community is utilizing such technology in their research, and (2) to point out strengths and areas that have been overlooked as well as help guide future research in this field