Defining a framework for integration of Geospatial technologies for Emergency Management

Abstract

Geospatial technologies are emerging as one of the most promising environments for development of emergency management framework. Geospatial technologies such as Remote Sensing, Geographic Information Systems and Global Positioning Systems integrated with valuable near/real-time field information can provide a comprehensive platform for emergency management. Satellite imagery, vector database, Location Based Services and ancillary data having the relevant attribute information with access and query tools helps the disaster manager to analyse the required information for relief operations. However, the conceptual design of the database, integration procedures, development of decision support functions and dissemination of information integrating real-time information from the field are very important issues in development framework for emergency management. There are some technological challenges in the emergency response for deriving the required outputs such as damage assessment, evacuation planning, situation monitoring, information dissemination, and coordination of resource and logistic planning. This article provides a framework for the integration of various multi-disciplinary technologies for addressing emergency management.

Effects of Risk Perception on Disaster Preparedness Toward Typhoons: An Application of the Extended Theory of Planned Behavior

“…The emergency kit usually refers to a package of items for survival, such as clean water, food, and first-aid supplies (Fung and Loke 2010). The emergency plan refers to specific procedures for handling sudden or unexpected situations (Bhanumurthy et al 2015). Considering the urban context of Hong Kong, a simple first-aid kit is sufficient for typhoon preparedness (Chan et al 2016).…”

A Survey on Spatio-temporal Data Analytics Systems

“…These actions include to rescue and alert peoples, to maintain the supply chains (foods, medical supplies, and other resources), to provide medical services, and other necessary steps. Currently, GIS tools and solutions [1,39,40,217] are used by emergency teams around the world to analyze data collected from aerial drones, satellites, smartphones, social networks, and other sources to take immediate measures. Future geospatial analytics will be more advanced and accurate for emergency management and response due to the integration of AI and machine learning.…”

A Theory of Information Trilogy: Digital Ecosystem Information Exchange Architecture

“…Emergency management requires a multi-agency response and involves several actors (e.g., ambulance, fire, emergency department, police, volunteers) to handle emergencies (e.g., floods, earthquakes). These agencies or actors need to share large amount of geospatial information (e.g., location of critical assets such as electrical systems, communication lines, water lines, transport, schools, hospitals, evacuation points) to support the planning and coordination of activities involving emergency workers and volunteers [28]. Point-to-point or peer-to-peer information sharing (from geospatial information holders to intended audience) is cumbersome in this situation and is not only difficult, but it is impossible to achieve where a quick response is required to handle emergencies.…”