Figure 2 - uploaded by Ioannis Boutsis
Content may be subject to copyright.
An enhanced Trajectory Bundle Tree.
Source publication
Crowdsourcing has emerged as an attractive paradigm in recent years for information collection for disaster response, which utilizes data received from the human crowd, to provide critical information collection and dissemination during emergency situations and visualize this data to generate emergency maps for the human crowd. In this paper we inv...
Similar publications
With the help of GIS, Terra Vista and MultiGen Creator platform, this paper achieves the digitalization of high precision dam, reservoir area and flood. Using DEM technology to simulate flood evolution, it analyzes flood inundation process and possible disaster area, and combines material reserve, traffic situation, and possible refuge path, and us...
Social media plays increasingly significant roles in disaster response, but effectively leveraging social media for rescue is challenging. This study analyzed rescue requests on Twitter during the 2017 Hurricane Harvey, in which many residents resorted to social media to call for help. The objectives include (1) understanding the characteristics of...
This article examines the international policy and institutional frameworks for response to natural and man-made disasters occurring in the Danube basin and the Tisza sub-basin, two transnational basins. Monitoring and response to these types of incidents have historically been managed separately. We discuss whether the policy distinctions in respo...
This research aimed to provide a new decision pattern toward the ultimate goal of improving Asian disaster management. The "water flow decision pattern," which is likened to the natural flow of water, was proposed to facilitate smooth decision-making by decision makers. Text document analysis with emphasis on a qualitative technique was used as the...
Citations
... The platform enables residents with localized information of weather conditions, livestock, etc. to report disasters directly to governmental administrative units who are responsible for coordination and support. In a complementary vein, T-Crowd [5] was developed specifically for processing and indexing geo-located crowdsourcing tasks. While each of these platforms leverage the ubiquity of mobile devices, they each seek to tackle a more clearly defined scenario than those which we aim to impact. ...
Following a disaster, there are generally many volunteers willing and able to help those affected. While volunteers can quickly contribute in terms of donations and aid collection, their ability to help further is limited by the complexity of tasks. While technologies exist for volunteers to be able to set up and assist in disaster response data collection and management systems, they require a certain amount of technical knowledge which a large segment of volunteers may lack. Moreover, the need to learn such systems within a small time frame may pose a challenge if systems work and appear differently from those being used in day-to-day life. This paper presents QuickResponseHost, an information system that enables volunteers to quickly host their own disaster response systems and begin helping those nearby without having extensive technical knowledge. The interface of this system has been designed to make sure that the task of creating a response station is as simple as downloading an executable program. These distributed base stations allow volunteers to report injuries, missing reports, resources, etc. The stations function offline and synchronize data with a central server when connected. With an intentionally designed user interface and multiple layers of abstraction, QuickResponseHost makes any volunteer with a laptop computer capable of participating in the recovery process.
