Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-8731
Main Title: Quality of Crowdsourced Data on Urban Morphology—The Human Influence Experiment (HUMINEX)
Author(s): Bechtel, Benjamin
Demuzere, Matthias
Sismanidis, Panagiotis
Fenner, Daniel
Brousse, Oscar
Beck, Christoph
Van Coillie, Frieke
Conrad, Olaf
Keramitsoglou, Iphigenia
Middel, Ariane
Mills, Gerald
Niyogi, Dev
Otto, Marco
See, Linda
Verdonck, Marie-Leen
Type: Article
Language Code: en
Abstract: The World Urban Database and Access Portal Tools (WUDAPT) is a community initiative to collect worldwide data on urban form (i.e., morphology, materials) and function (i.e., use and metabolism). This is achieved through crowdsourcing, which we define here as the collection of data by a bounded crowd, composed of students. In this process, training data for the classification of urban structures into Local Climate Zones (LCZ) are obtained, which are, like most volunteered geographic information initiatives, of unknown quality. In this study, we investigated the quality of 94 crowdsourced training datasets for ten cities, generated by 119 students from six universities. The results showed large discrepancies and the resulting LCZ maps were mostly of poor to moderate quality. This was due to general difficulties in the human interpretation of the (urban) landscape and in the understanding of the LCZ scheme. However, the quality of the LCZ maps improved with the number of training data revisions. As evidence for the wisdom of the crowd, improvements of up to 20% in overall accuracy were found when multiple training datasets were used together to create a single LCZ map. This improvement was greatest for small training datasets, saturating at about ten to fifteen sets.
URI: https://depositonce.tu-berlin.de/handle/11303/9691
http://dx.doi.org/10.14279/depositonce-8731
Issue Date: 9-May-2017
Date Available: 2-Aug-2019
DDC Class: 551 Geologie, Hydrologie, Meteorologie
Subject(s): Local Climate Zones
urban climate
crowdsourcing
volunteered geographic information
classification
WUDAPT
LCZs
Sponsor/Funder: DFG, 38787541, EXC 177: Integrierte Klimasystemanalyse und -vorhersage
EC/FP7/617754/EU/Harnessing the power of crowdsourcing to improve land cover and land-use information/CrowdLand
License: https://creativecommons.org/licenses/by/4.0/
Journal Title: Urban Science
Publisher: MDPI
Publisher Place: Basel
Volume: 1
Issue: 2
Article Number: 15
Publisher DOI: 10.3390/urbansci1020015
EISSN: 2413-8851
Appears in Collections:FG Klimatologie » Publications

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