Abstract. The completeness of the number of Open- StreetMap (OSM) retail stores was estimated for two federal states of Germany at district level. An intrinsic measurement was applied that fits saturation models on the cumulative curve of the number of OSM retail stores over time. Even though the mean completeness of retail stores was estimated high in both states, the values within the states varied between 42 % and 100 %. The question therefore arises in which areas retail stores are well represented in OSM and whether economically weaker regions are possibly also digitally disadvantaged on the map. We investigated the influence of the urban-rural gradient as well as the influence of socioeconomic factors (gross domestic product, the unemployment rate, the proportion of academics) on the estimated completeness by means of a generalized linear model. Our results indicate that average big cities with low unemployment rate are better mapped with respect to retail stores.
Technological developments such as the Web 2.0, sensing technologies, and geographic information systems (GIS) greatly increase the accessibility of geo-information today, thus diminishing the divide between producers/experts and users. Accordingly, more populations engage today with digital mapping activities, leading to
The collaborative nature of activities in Web 2.0 projects leads to the formation of online communities. To reinforce this community, these projects often rely on happenings centred around data creation and curation activities. We suggest an integrated framework to directly assess online community member performance in a quantitative manner and applied it to the case study of OpenStreetMap. A set of mappers who participated in both field and remote mapping-related happenings was identified. To measure the effects of happenings, we computed attributes characterising the mappers’ contribution behaviour before and after the happenings and tested for significant impacts in relation to a control group. Results showed that newcomers to OpenStreetMap adopted a contribution behaviour similar to the contribution behaviour typical for the respective happening they attended: When contributing after the happening, newcomers who attended a remote mapping event tended to concentrate on creating new data with lower quality but high quantity in places foreign to their home region; newcomers who attended a field mapping event updated and enhanced existing local data with high accuracy. The behaviour of advanced mappers stayed largely unaffected by happenings. Unfortunately, our results did not reveal a positive effect on the community integration of newcomers through happenings.
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