Document / Publication

  • Do more with your content!Discover PreventionWeb Services
  • Flood management in Aqala through an agent-based solution and crowdsourcing services in an enterprise geospatial information system
    https://www.preventionweb.net/go/70441

    Email sent!

    An email has been sent to the email addresses provided, with a link to this content.

    Thank you for sharing!

    OK

Flood management in Aqala through an agent-based solution and crowdsourcing services in an enterprise geospatial information system

Source(s):  International Society for Photogrammetry and Remote Sensing (ISPRS)

Propagating crowdsourcing services via a wireless network can be an appropriate solution to using the potential of crowds in crisis management processes. The present study aimed to deploy crowdsourcing services properly to spatial urgent requests. Composing such atomic services can conquer sophisticated crisis management. In addition, the conducted propagated services guide people through crisis fields and allow managers to use crowd potential appropriately. The use of such services requires a suitable automated allocation method, along with a proper approach to arranging the sequence of propagating services. The solution uses a mathematical framework in the context of a GIS (Geospatial Information System) in order to construct an allocation approach. Solution elements are set out in a multi-agent environment structure, which simulate disaster field objects. Agents which are dynamically linked to objects in a crisis field, interact with each other in a competitive environment, and the results in forming crowdsourcing services are used to guide crowds in the crisis field via the crowdsourcing services. The present solution was implemented through a proper data schema in a powerful geodatabase, along with various users with specialized interfaces. Finally, a solution and crowdsourcing service was tested in the context of a GIS in the 2019 Aqala flood disaster in Iran and other complement scenarios. The allocating performance and operation of other system elements were acceptable and reduced indicators, such as rescuer fatigue and delay time. Crowdsourcing service was positioned well in the solution and provided good performance among the elements of the Geospatial Information System.



Add this content to your collection!

Enter an existing tag to add this content to one or more of your current collections. To start a new collection, enter a new tag below.

See My collections to name and share your collection
Back to search results to find more content to tag

Log in to add your tags
  • Flood management in Aqala through an agent-based solution and crowdsourcing services in an enterprise geospatial information system
  • Publication date 2019
  • Author(s) Eivazy, Hooshang; Reza Malek, Mohammad
  • Number of pages 23 p.

Please note:Content is displayed as last posted by a PreventionWeb community member or editor. The views expressed therein are not necessarily those of UNDRR PreventionWeb, or its sponsors. See our terms of use