A Volunteer Classification Method for Disaster Recovery

Abstract

In recent years, there are many volunteer activities for disaster recovery and many people are participating as volunteers. However, the number of volunteers which make troubles (trouble-making volunteers) is increasing, which a big problem in Japan. In order to deal with this problem, we propose a volunteer classification method for disaster recovery to support an effective selection of volunteers and eliminate "trouble making volunteers". In this paper, we introduce the concept of disaster information design. We present the types of volunteers and investigate the needed knowledge to be a volunteer.

Volunteer selection based on crowdsourcing approach

“…Different researchers have proposed matching algorithm based on various situation with volunteer such as OWL-S matcher, RF-based localization techniques, Web2.0 style, sizespecified community creation method and classification method (Hong et al 2007;Lo et al 2010;McCann et al 2008;Shen and Doan 2008;Yu et al 2012;Endo and Sugita 2010;Chen et al 2011). Based on our review, we found that there is the various matching technique used in existing volunteering system.…”

A Crowdsourcing Approach for Volunteering System

“…Besides that, matching technique is an important part of recruitment and selection of volunteer because to find the suitable volunteer before assigning the task. Different researchers have proposed matching algorithm based on various situation with volunteer such as OWL-S matcher, RF-based localization techniques, Web2.0 style, size-specified community creation method and classification method ( [17], [18], [19], [20], [21], [7]). Based on our review, we found that there is the various matching technique used in existing volunteering system.…”