Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/30425
Title: Uncertainty of OpenStreetMap data for the road network in Cyprus
Authors: Demetriou, Demetris 
Editors: Themistocleous, Kyriacos 
Hadjimitsis, Diofantos G. 
Michaelides, Silas 
Papadavid, Giorgos 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Keywords: Cyprus;Data quality;GIS;OpenStreetMap;Road network;Volunteered geographic information
Issue Date: 4-Apr-2016
Source: 4th International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2016, Paphos, Cyprus, 4 - 8 April 2016
Volume: 9688
Conference: Proceedings of SPIE - The International Society for Optical Engineering 
Abstract: Volunteered geographic information (VGI) refers to the geographic data compiled and created by individuals which are rendered on the Internet through specific web-based tools for diverse areas of interest. One of the most well-known VGI projects is the OpenStreetMap (OSM) that provides worldwide free geospatial data representing a variety of features. A critical issue for all VGI initiatives is the quality of the information offered. Thus, this report looks into the uncertainty of the OSM dataset for the main road network in Cyprus. The evaluation is based on three basic quality standards, namely positional accuracy, completeness and attribute accuracy. The work has been carried out by employing the Model Builder of ArcGIS which facilitated the comparison between the OSM data and the authoritative data provided by the Public Works Department (PWD). Findings showed that the positional accuracy increases with the hierarchical level of a road, it varies per administrative District and around 70% of the roads have a positional accuracy within 6m compared to the reference dataset. Completeness in terms of road length difference is around 25% for three out of four road categories examined and road name completeness is 100% and around 40% for higher and lower level roads, respectively. Attribute accuracy focusing on road name is very high for all levels of roads. These outputs indicate that OSM data are good enough if they fit for the purpose of use. Furthermore, the study revealed some weaknesses of the methods used for calculating the positional accuracy, suggesting the need for methodological improvements.
URI: https://hdl.handle.net/20.500.14279/30425
ISBN: 9781628419238
ISSN: 0277786X
DOI: 10.1117/12.2239612
Rights: © SPIE
Attribution-NonCommercial-NoDerivatives 4.0 International
Type: Conference Papers
Affiliation : Public Work Department 
University of Leeds 
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

CORE Recommender
Show full item record

SCOPUSTM   
Citations 50

5
checked on Mar 14, 2024

Page view(s) 50

158
Last Week
0
Last month
4
checked on Nov 21, 2024

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons