The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-3/W8
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W8, 249–252, 2019
https://doi.org/10.5194/isprs-archives-XLII-3-W8-249-2019
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W8, 249–252, 2019
https://doi.org/10.5194/isprs-archives-XLII-3-W8-249-2019

  21 Aug 2019

21 Aug 2019

ASSESSING OPENSTREETMAP URBAN NETWORK OF ORAN CITY

B. Meguenni and M. A. Hafid B. Meguenni and M. A. Hafid
  • CTS, Centre des Techniques Spatiales, 31002 Arzew Oran, Algeria

Keywords: Urban Network, OpenStreetMap, Spatial Data Quality

Abstract. OpenStreetMap (OSM) uses the Open Database License, it is a collaborative project that collects a rich set of vector data provided by volunteers. It is a global collection of mapping data that can be used for a wide variety of purposes. Many third-party online maps are based on OpenStreetMap data. Currently, more and more large organizations are choosing OSM for their maps.

In addition, the analysis of the spatial quality of the OSM data shows that particular care must be taken. However, there are several methods for assessing the quality of the OSM data by comparing the OSM to an authoritative dataset. In this context, it is essential to develop an automatic procedure to improve its spatial quality.

This work proposes a quantitative method for comparing the quality of the OSM and an authoritative data set on urban networks in the city of Oran (Algeria). The procedure is based on python modules in a GIS environment and provides measurements of the spatial accuracy and completeness of the OSM road network. The method is applied to assess the quality of the Oran OSM road network data set through a comparison with the official Algerian dataset. The results show that the OSM's Algerian road network is very complete, but with low spatial accuracy.