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Article

Are Crowdsourced Datasets Suitable for Specialized Routing Services? Case Study of OpenStreetMap for Routing of People with Limited Mobility

1
GIScience Research Group, Institute of Geography, Heidelberg University, Im Neuenheimer Feld 348, 69120, Heidelberg 69115–69126, Germany
2
Urban Big Data Centre, School of Social and Political Sciences, University of Glasgow, Glasgow G12 8RZ, UK
3
Bremen Spatial Cognition Center, Department of Informatics, University of Bremen, Bremen 28001–28779, Germany
4
Information Systems Department, Faculty of Computers and Information, Assiut University, Assiut 71515, Egypt
*
Author to whom correspondence should be addressed.
Academic Editor: Marc A. Rosen
Sustainability 2017, 9(6), 997; https://doi.org/10.3390/su9060997
Received: 22 February 2017 / Revised: 4 May 2017 / Accepted: 16 May 2017 / Published: 9 June 2017
Nowadays, Volunteered Geographic Information (VGI) has increasingly gained attractiveness to both amateur users and professionals. Using data generated from the crowd has become a hot topic for several application domains including transportation. However, there are concerns regarding the quality of such datasets. As one of the most famous crowdsourced mapping platforms, we analyze the fitness for use of OpenStreetMap (OSM) database for routing and navigation of people with limited mobility. We assess the completeness of OSM data regarding sidewalk information. Relevant attributes for sidewalk information such as sidewalk width, incline, surface texture, etc. are considered, and through both extrinsic and intrinsic quality analysis methods, we present the results of fitness for use of OSM data for routing services of disabled persons. Based on empirical results, it is concluded that OSM data of relatively large spatial extents inside all studied cities could be an acceptable region of interest to test and evaluate wheelchair routing and navigation services, as long as other data quality parameters such as positional accuracy and logical consistency are checked and proved to be acceptable. We present an extended version of OSMatrix web service and explore how it is employed to perform spatial and temporal analysis of sidewalk data completeness in OSM. The tool is beneficial for piloting activities, whereas the pilot site planners can query OpenStreetMap and visualize the degree of sidewalk data availability in a certain region of interest. This would allow identifying the areas that data are mostly missing and plan for data collection events. Furthermore, empirical results of data completeness for several OSM data indicators and their potential relation to sidewalk data completeness are presented and discussed. Finally, the article ends with an outlook for future research study in this area. View Full-Text
Keywords: sidewalk; routing; open data; OpenStreetMap; data quality; completeness sidewalk; routing; open data; OpenStreetMap; data quality; completeness
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MDPI and ACS Style

Mobasheri, A.; Sun, Y.; Loos, L.; Ali, A.L. Are Crowdsourced Datasets Suitable for Specialized Routing Services? Case Study of OpenStreetMap for Routing of People with Limited Mobility. Sustainability 2017, 9, 997. https://doi.org/10.3390/su9060997

AMA Style

Mobasheri A, Sun Y, Loos L, Ali AL. Are Crowdsourced Datasets Suitable for Specialized Routing Services? Case Study of OpenStreetMap for Routing of People with Limited Mobility. Sustainability. 2017; 9(6):997. https://doi.org/10.3390/su9060997

Chicago/Turabian Style

Mobasheri, Amin; Sun, Yeran; Loos, Lukas; Ali, Ahmed L. 2017. "Are Crowdsourced Datasets Suitable for Specialized Routing Services? Case Study of OpenStreetMap for Routing of People with Limited Mobility" Sustainability 9, no. 6: 997. https://doi.org/10.3390/su9060997

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