Latest revision as of 16:59, 28 January 2021

Abstract

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.

Document type: Article

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The different versions of the original document can be found in:

• http://eprints.gla.ac.uk/143444/1/143444.pdf under the license http://creativecommons.org/licenses/by/4.0/

• https://www.mdpi.com/2071-1050/9/6/997/pdf under the license http://creativecommons.org/licenses/by/4.0/

• http://eprints.gla.ac.uk/143444,

https://ideas.repec.org/a/gam/jsusta/v9y2017i6p997-d101040.html,

https://pubag.nal.usda.gov/catalog/6519668,

https://core.ac.uk/display/84148476,

https://academic.microsoft.com/#/detail/2622715095 under the license cc-by

• http://www.mdpi.com/2071-1050/9/6/997,

https://doaj.org/toc/2071-1050

• http://www.mdpi.com/2071-1050/9/6/997/pdf,

http://dx.doi.org/10.3390/su9060997

• [ ] under the license https://creativecommons.org/licenses/by/4.0/