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ISPRS Int. J. Geo-Inf. 2018, 7(10), 400;

Analyzing OpenStreetMap Road Data and Characterizing the Behavior of Contributors in Ankara, Turkey

Department of Geomatic Engineering, Faculty of Civil Engineering, Yildiz Technical University, Davutpasa Campus, 34220 Esenler, Istanbul, Turkey
Author to whom correspondence should be addressed.
Received: 31 July 2018 / Revised: 18 September 2018 / Accepted: 4 October 2018 / Published: 6 October 2018
(This article belongs to the Special Issue Human-Centric Data Science for Urban Studies)
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The usage of OpenStreetMap (OSM), one of the resources offered by Volunteered Geographic Information (VGI), has rapidly increased since it was first established in 2004. In line with this increased usage, a number of studies have been conducted to analyze the accuracy and quality of OSM data, but many of them have constraints on evaluating the profiles of contributors. In this paper, OSM road data have been analyzed with the aim of characterizing the behavior of OSM contributors. The study area, Ankara, the capital city of Turkey, was evaluated with several network analysis methods, such as completeness, degree of centrality, betweenness, closeness, PageRank, and a proposed method measuring the activation of contributors in a bounded area from 2007–2017. An evaluation of the results was also discussed in this paper by taking into account the following indicators for each year: number of nodes, ways, contributors, mean lengths, and sinuosity values of roads. The results show that the experience levels of the contributors determine the contribution type. Essentially, more experience makes for more detailed contributions. View Full-Text
Keywords: OSM; activation density; network analysis; centrality; VGI OSM; activation density; network analysis; centrality; VGI

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Hacar, M.; Kılıç, B.; Şahbaz, K. Analyzing OpenStreetMap Road Data and Characterizing the Behavior of Contributors in Ankara, Turkey. ISPRS Int. J. Geo-Inf. 2018, 7, 400.

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