Statistical analysis on the evolution of OpenStreetMap road networks in Beijing

Spatial Evolution of Openstreetmap Dataset in Turkey

“…Between 2007 and 2012, the curves are following a gradual rise ( figure (2)), which shows limited involvement by dormant mappers because of limited flexibility in editing by old OSM license (OSM-License, 2012). This was then observed by an exponential growth in 2012 ( (Zhao et al, 2015) has also reported similar growth rate for both the number of nodes and Edges for Beijing, China) because of restructuring of Odbl license and hyped OSM usage in various mapping applications (Zielstra et al, 2013). Although, the sudden increase in data generation activity is exponential, it is not equal for all the provinces as it is a function of the number of active mappers in the area (Zhao et al, 2015).…”

“…point, edge, and polygon, when the goal behind it is to determine contribution effort ( figure (1)). Creation of a point, a line, and a polygon does not involve similar effort from contributors side, thus making them mutually incomparable in this perspective; similar explanation is valid while comparing lines ( (Zhao et al, 2015), , (Strano et al, 2015), (Haklay, 2009)) and polygons of varied length and area, respectively. Finally, to neutralize the geographic effect of different provincial area on nodes count for each province, it was divided by respective area.…”

“…Carrying out current study, thus, is necessary to understand VGI responses at higher resolution (spatial and temporal) in Turkey ( (Zhao et al, 2015), (Leeuw et al, 2011), (Zhang et al, 2015)), which has considerably rich OSM dataset (17 million points, 1.3 million edges AKA lines, and 0.4 million polygons (PlanetOSM, 2016)), and which will, eventually, add comments to help expand the same.…”

“…A famous live VGI example is OpenStreetMap (OSM) project (Haklay and Weber, 2008) which started in 2004 with the goal to generate a free and editable street map of the world; in addition to other similar projects like Wikimapia, Wikiloc, Foursquare, Google Map Maker etcetera but with varied visions. This project has recently gained huge fame because of large volume data ( mapped by varied geo-data producers, AKA NeoGeographers ( (Goodchild, 2009b), ), because of limited editing restrictions), data heterogeneity, abundance, and open access; and thus has attracted immense interest from researchers of various domains (Zhao et al, 2015).…”

The OpenStreetMap folksonomy and its evolution

“…Arsanjani et al (2015) even simulated the potential evolution of OSM through a cellular automata model. In a study of the road network in Beijing, Zhao et al (2015) demonstrated how the mapping behaviour advances OSM data, in particular, how the evolution of the road network is shaped by exploration and densification activities. These papers examine, however, only to a minor extent the folksonomy but rather focus on spatial and temporal features of the data.…”