Recover Faster from Disaster: Success Factors for a Crowdsourcing Platform
نویسندگان
چکیده
In this paper, we present a model that identifies seven success factors for the development of crowdsourcing platforms for disaster recovery. This model integrates two existing theories. The first theory focuses on success factors of crowdsourcing initiatives in general. The second theory states how disaster relief operations can improve when they take the psychological components of resilience into account. By merging the core principles of these two theories and adding additional knowledge gained from literature study, we constructed an integrated success factor model for use in the development of crowdsourcing applications for disaster recovery. An initial validation of the success factor model was conducted within a case study on a crowdsourcing platform for disaster recovery which is currently being developed. Conclusions are drawn with regards to the applicability of the model to guide development of crowdsourcing platforms for disaster recovery.
منابع مشابه
Conducting disaster damage assessments with Spatial Video, experts, and citizens
Damage assessment (DA) is an important part of the disaster recovery process, as it helps organizations like the American Red Cross provide assistance and relief to those most affected. Through it, homes are characterized by the damage they have received using five classes ranging from “Unaffected” to “Destroyed”. Rapid acquisition of damage assessment data may be achieved through crowdsourcing...
متن کاملDesign and Implementation of Participant Selection for Crowdsourcing Disaster Information
A typical disaster surveillance and early warning system often needs to make timely and critically important preparedness decisions before disasters strike. When crowdsourcing observational data from people to enhance its sensor coverage, the system must be able to make effective use of volunteers, guide them during their exploration of the threatened area, and process reports from them in real...
متن کاملThe Analysis of Information Crowdsourcing Cloud for Disaster Management: Case Studies of Taiwan Morakot Typhoon
With the development of social networks, the mechanism of crowdsourcing is not limited to commercial application. In the event of disaster, information disseminated through social networks, and the mechanism of crowdsourcing thus is established. However, it is worth discussing whether the accuracy of the disaster information through the virtual community can be referred to the government agenci...
متن کاملCombining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response.
Aerial imagery captured via unmanned aerial vehicles (UAVs) is playing an increasingly important role in disaster response. Unlike satellite imagery, aerial imagery can be captured and processed within hours rather than days. In addition, the spatial resolution of aerial imagery is an order of magnitude higher than the imagery produced by the most sophisticated commercial satellites today. Both...
متن کاملVehicular Safety Platform Integrating MCC Based Emergency Context-Aware Management Architecture Enhanced With Crowdsourcing Filter
This paper aims to propose a realization of a new vehicular safety platform integrating emergency context-aware management (ECM) platform utilizing Mobile Cloud Computing (MCC) concept with efficient manipulation of wide spatial data using crowdsourcing filter (viz. SwiftRiver). ECM platform is now a hot research arena that is mainly focused upon emergency issues within environmental disaster. ...
متن کامل