Assessing the completeness of bicycle trail and lane features in OpenStreetMap for the United States

This article assesses the completeness of bicycle trail and on-street lane features in OpenStreetMap (OSM). Comparing OSM cycling features with reference data from local planning agencies for selected US Urbanized Areas shows that OSM bicycle trails tend to be more completely mapped than bicycle lan...

Full description

Saved in:
Bibliographic Details
Main Authors: Hochmair, Hartwig (Author) , Zielstra, Dennis (Author) , Neis, Pascal (Author)
Format: Article (Journal)
Language:English
Published: 2015
In: Transactions in GIS
Year: 2014, Volume: 19, Issue: 1, Pages: 63-81
ISSN:1467-9671
DOI:10.1111/tgis.12081
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1111/tgis.12081
Verlag, lizenzpflichtig, Volltext: https://www.onlinelibrary.wiley.com/doi/abs/10.1111/tgis.12081
Get full text
Author Notes:Hartwig H. Hochmair, Dennis Zielstra, Pascal Neis
Description
Summary:This article assesses the completeness of bicycle trail and on-street lane features in OpenStreetMap (OSM). Comparing OSM cycling features with reference data from local planning agencies for selected US Urbanized Areas shows that OSM bicycle trails tend to be more completely mapped than bicycle lanes. Manual evaluation of mapped cycling features in OSM and Google Maps for selected test areas within the Central Business Districts of Portland (OR) and Miami (FL) through comparison with governmental datasets, satellite imagery, and Google Street View, shows that the Bicycle layer in Google Maps can help to identify some missing or erroneously mapped OSM cycling links. However, Google Maps was also found to have some gaps in its data layers, suggesting that consultation of current trail and lane data from local planning authorities, if available, should be considered as an additional data source for bicycle related planning projects.
Item Description:First published: 11 August 2014
Gesehen am 07.09.2020
Physical Description:Online Resource
ISSN:1467-9671
DOI:10.1111/tgis.12081