Crowdsourced validation and updating of dynamic features in OpenStreetMap

• Verfasst von: Anhorn, Johannes [VerfasserIn]
• Verfasst von: Herfort, Benjamin [VerfasserIn]
• Verfasst von: Albuquerque, João Porto de [VerfasserIn]
• Titel: Crowdsourced validation and updating of dynamic features in OpenStreetMap
• Titelzusatz: an analysis of shelter mapping after the 2015 Nepal earthquake
• Verf.angabe: Johannes Anhorn, Benjamin Herfort, João Porto de Albuquerque
• E-Jahr: 2016
• Jahr: 25 April 2016
• Umfang: 16 S.
• Fussnoten: Gesehen am 03.09.2018
• Titel Quelle: Enthalten in: ISCRAM 2016 Conference proceedings
• Ort Quelle: Rio de Janeiro, Brazil, 2016
• Jahr Quelle: 2016
• Band/Heft Quelle: (2016), Seite ?
• ISBN Quelle: 978-84-608-7984-8
• ISBN Quelle: 84-608-7984-4
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1580634737

Abstract

The paper presents results from a validation process of OpenStreetMap (OSM) rapid mapping activities using crowdsourcing technology in the aftermath of the Gorkha earthquake 2015 in Nepal. We present a framework and tool to iteratively validate and update OSM objects. Two main objectives are addressed: first, analyzing the accuracy of the volunteered geographic information (VGI) generated by the OSM community; second, investigating the spatio-temporal dynamics of spontaneous shelter camps in Kathmandu. Results from three independent validation iterations show that only 10 % of the OSM objects are false positives (no shelter camps). Unexpectedly, previous mapping experience only had a minor influence on mapping accuracy. The results further show that it is critical to monitor the temporal dynamics. Out of 4,893 identified shelter camps, 54% were already empty/closed six days after the first mapping. So far, updating geographical features during humanitarian crisis is not properly addressed by the existing crowdsourcing approaches.