Abstract

 
 
 The need to use mobile technology in urban emergency response processes has recently been identified, given the importance of having relevant information to make decisions in these scenarios. The data visualization on small mobile devices, such as PDAs or smartphones, is a critical aspect to make appropriate and on-time decisions. This criticality particularly occurs due to the small size of their screens to show geographical data. This article presents a strategy to select and display the most relevant “Points of Interest” on a digital map, according to the emergency influence area. This strategy was implemented on the MobileMap tool, and then it was evaluated through simulated emergency situations. Commanders of various Chilean Fire Companies participated in this evaluation.
 
 
Highlights
In recent years we have seen a revolution in miniaturization and price of mobile and wireless communication devices [1], [2]
indicates that the application will display Points of Interest (POI) that are within a radius of 200 meters, with the center point located at the emergency position
In the Representational State Transfer (REST) style, every resource is accessed by a unique URL which may be operated on by a subset of the core set of HTTP commands: GET, POST, PUT, and DELETE.We investigated both SOAP and REST, in order to gauge their potential effectiveness in Alarms Center (AC) server underlying back-end data transmission requirements
Summary
In recent years we have seen a revolution in miniaturization and price of mobile and wireless communication devices [1], [2]. The existing proposals focus on relevant information and they provide an overview of the context information [7], [8], [9] This challenge is relevant for mobile applications which support emergencies, especially in urban areas. Some researchers have identified the use of mobile devices during emergency situations as very important These devices can provide relevant data from the disaster affected area [10], [11]. The geospatial information of the affected area is very important to analyze their vulnerability and manage risks associated with it Such information is necessary to perform the event response and recovery activities [12], [13], [14].
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