Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake

27 Pages Posted: 14 Feb 2013  

Matthew Zook

University of Kentucky

Mark Graham

University of Oxford - Oxford Internet Institute

Taylor Shelton

University of Kentucky

Sean Gorman

FortiusOne

Date Written: 2010

Abstract

This paper outlines the ways in which information technologies (ITs) were used in the Haiti relief effort, especially with respect to web-based mapping services. Although there were numerous ways in which this took place, this paper focuses on four in particular: CrisisCamp Haiti, OpenStreetMap, Ushahidi, and GeoCommons. This analysis demonstrates that ITs were a key means through which individuals could make a tangible difference in the work of relief and aid agencies without actually being physically present in Haiti. While not without problems, this effort nevertheless represents a remarkable example of the power and crowdsourced online mapping and the potential for new avenues of interaction between physically distant places that vary tremendously.

Keywords: Haiti, OpenStreetMap, Ushahidi, GeoCommons, volunteered geographic information, crowdsourcing

Suggested Citation

Zook, Matthew and Graham, Mark and Shelton, Taylor and Gorman, Sean, Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake (2010). Available at SSRN: https://ssrn.com/abstract=2216649 or http://dx.doi.org/10.2139/ssrn.2216649

Matthew Zook

University of Kentucky ( email )

Lexington, KY 40506
United States

Mark Graham (Contact Author)

University of Oxford - Oxford Internet Institute ( email )

1 St. Giles
University of Oxford
Oxford, Oxfordshire OX1 3JS
United Kingdom

HOME PAGE: http://www.geospace.co.uk

Taylor Shelton

University of Kentucky

Lexington, KY 40506
United States

Sean Gorman

FortiusOne

2200 Wilson Blvd.
Suite 307
Arlington, VA 22201
United States

Register to save articles to
your library

Register

Paper statistics

Downloads
772
rank
28,179
Abstract Views
2,330
PlumX