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Browsing by Author Reckien, D.

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  • Geo-Information Tools, Governance, and Wicked Policy Problems

    • Authors: Reckien, D.; Georgiadou, Y.;  Advisor: -;  Participants: - (2018)

  • The emblematic intergovernmental Group of Earth Observations (GEO) sees food, water and energy security, natural hazards, pandemics of infectious diseases, sustainability of key services, poverty, and climate change as societal challenges. We regard the abovementioned societal challenges as wicked policy problems involving multiple or unknown causes, anticipated and unanticipated effects, and high levels of disagreement among governance stakeholders concerning the nature (and even the existence) of a problem and the appropriateness of solutions. In this Special Issue, we attempt to take the pulse of how we, as geo-information scientists, tackle wicked problems in the global North and ...
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  • Utilising volunteered geographic information to assess resident's flood evacuation shelters : Case study: Jakarta

    • Authors: Reckien, D.; Kusumo, A.N.L.;  Advisor: -;  Participants: - (2017)

  • This research investigates the usefulness of VGI for planning flood evacuation shelters. Using Jakarta, Indonesia, as a case study, we use VGI to capture the locations of flood evacuation shelters based on residents' preferences during flood periods in 2013–2014 and 2014–2015 and compare these with the locations of official shelters. The spatial pattern showed that those tweets were sent from 215 locations, mostly located near flooded areas. The analysis further showed that 35.6% of these shelter locations preferred by residents intersected with the locations of official evacuation shelters. As a general conclusion, our study demonstrates the advantages of using VGI for spatial planni...
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  • What is in an index? : Construction method, data metric, and weighting scheme determine the outcome of composite social vulnerability indices in New York City

    • Authors: Reckien, D.;  Advisor: -;  Participants: - (2018)

  • This study investigates the outcome of the variable addition—both with and without weighting of single vulnerability factors—and the variable reduction approach/model on social vulnerability indices calculated for New York City. Weighting is based on scientific assessment reports on climate change impacts in New York City. Additionally, the study calculates the outcome on social vulnerability when using either area-based (person/km2 ) or population-based (%) input data. The study reveals remarkable differences between indices particularly when using different methods but also when using different metrics as input data.