talk on conference website
The ever-increasing threat from disaster is an urgent call for a proactive discourse on pragmatic elimination and reduction of the challenges and stresses caused by disasters. This study, therefore, leverages on the research gap as it applies to the application of crowdsourced rapid response mapping in a developing country of Nigeria, where, critical geospatial data is grossly unavailable to respond to vulnerable resilient communities. The study deployed two research techniques namely: participatory crowdsourced mapping and gamification. The HOT tasking manager data analytics was used to analyze the level of participation and contribution of volunteer mappers over time while QGIS was used to produce maps unveiling building footprints generated in OSM, before and after Mapathon. The study delineated 8 LGAs for a mapping task of 2015 grids and 639 grids for Mapathon battle season-1 and 2 respectively.Season-1 was the months of flood(Rainy Season) while Season-2 was the flood receding months (dry season) Results unveiled analysis of flood response mapping season-1, had a total of 571,659 edits comprising 481,912 buildings and 22,244km of roads contributed by initial 7,601 participants, but completed by 1,644 volunteers, mapping 4,946 grids within a timeline of 38months at the rate of three hours 38minutes per task. 70% of volunteer mappers engaged were beginner mappers Maps showing before and after Mapathon in OSM were produced for ONELGA, Numan Sarbon Birnin and Ilorin West LGAs respectively. However, analysis of flood response mapping season-2, unveiled a total of 357,168 edits comprising 325,023 buildings and 7,438km of roads were contributed by the initial 4,006 participants, but completed by 801 volunteer mappers using 2,238 grids within a timeline of 14months at the rate of two hours 33minutes per task. Maps showing before and after in OSM were produced for Afikpo North, Warri South, Logo and Jamare LGA respectively. The Study contributed to a measurable target of SDGs 1 to 7, 11, 13, 15 and 17. The study generated massive critical open geospatial data needed for effective disaster response and SDGs, and paving way for effective geoinformation e-governance in Nigeria. Lastly, the study promotes the relevance of citizen-generated data for national geospatial data infrastructure development and participatory crowdsourced mapping using OpenStreetMap at local levels. The study has also bridged a critical scientific research gap and inquiry in OSM GIScience.
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