Addressing Geospatial Preparedness Inequity: A Sustainable Bottom-Up Approach for Non-Governmental Development Organizations

Roberto San Martin, Marco Painho and Frederico Cruz-Jesus
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Roberto San Martin: NOVA IMS, Universidade Nova de Lisboa, 1070-312 Lisbon, Portugal
Marco Painho: NOVA IMS, Universidade Nova de Lisboa, 1070-312 Lisbon, Portugal
Frederico Cruz-Jesus: NOVA IMS, Universidade Nova de Lisboa, 1070-312 Lisbon, Portugal

Sustainability, 2019, vol. 11, issue 23, 1-15

Abstract: In less developed areas, the use of Geographic Information Systems (GIS) to coordinate disaster response is hindered by a lack of geospatial preparedness. Humanitarian missions often rely on OpenStreetMap as a source of information to overcome this limitation. In these places, Non-Governmental Organizations (NGOs) might already be using GIS to implement development projects before the disaster. This study considers the management of geospatial information by those NGOs and whether they could improve geospatial preparedness from within the communities. This bottom-up approach would allow the inclusion of information relevant to the community in the disaster response decision-making process. The research method was an online survey with a worldwide sample of more than 200 development NGOs. The results show that many NGOs use digital geographic information, mostly open-data. They could indeed improve geospatial preparedness while using open-data and community mapping for the implementation of their projects. There is, however, a limitation; most of the development NGOs using open geographic data are not familiar with the open platforms used by the humanitarian community (i.e., OpenStreetMap). Therefore, the study indicates that the sustainability of this synergic approach requires further harmonization between development and humanitarian organizations working for the wellbeing of the same communities.

Keywords: geospatial preparedness; OpenStreetMap; NGO; information management; development; sustainable (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
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