Cross-linkage between mapillary street level photos and OSM edits

Abstract

Mapillary is a VGI platform which allows users to contribute crowdsourced street level photographs from all over the world. Due to unique information that can be extracted from street level photographs but not from aerial or satellite imagery, such as the content of road signs, users of other VGI Web 2.0 applications start to utilize Mapillary for collecting and editing data. This study assesses to which extent OpenStreetMap (OSM) feature edits use Mapillary data, based on tag information of added or edited features and changesets. It analyzes how spatial contribution patterns of individual users vary between OSM and Mapillary. A better understanding of cross-linkage patterns between different VGI platforms is important for data quality assessment, since cross-linkage can lead to better quality control of involved data sources.