A Comparison of the Street Networks of Navteq and OSM in Germany

Ludwig, Ina; Voß, Angi; Krause-Traudes, Maike

doi:10.1007/978-3-642-19789-5_4

Cited by 104 publications

(99 citation statements)

References 4 publications

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“…Further, comparing the completeness of OSM roads for the entire U.K., Haklay [43] found that at the time, OSM roads accounted for 69% of OS data with as much as 25% better coverage using OSM data in some areas. A similar high correspondence (97% in urban areas) was reported by Ludwig et al [44], comparing the completeness of road features (e.g., primary, secondary and cycle paths) in OSM with Navteq data in several German cities. With respect to the latter study in Germany, however, care must be taken when extrapolating the results of such studies to other cities, since, as Neis et al [45] suggests, Germany contains the most active OSM communities.…”

Section: Introductionsupporting

confidence: 84%

Authoritative and Volunteered Geographical Information in a Developing Country: A Comparative Case Study of Road Datasets in Nairobi, Kenya

Mahabir

Stefanidis

Croitoru

et al. 2017

IJGI

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Abstract:With volunteered geographic information (VGI) platforms such as OpenStreetMap (OSM) becoming increasingly popular, we are faced with the challenge of assessing the quality of their content, in order to better understand its place relative to the authoritative content of more traditional sources. Until now, studies have focused primarily on developed countries, showing that VGI content can match or even surpass the quality of authoritative sources, with very few studies in developing countries. In this paper, we compare the quality of authoritative (data from the Regional Center for Mapping of Resources for Development (RCMRD)) and non-authoritative (data from OSM and Google's Map Maker) road data in conjunction with population data in and around Nairobi, Kenya. Results show variability in coverage between all of these datasets. RCMRD provided the most complete, albeit less current, coverage when taking into account the entire study area, while OSM and Map Maker showed a degradation of coverage as one moves from central Nairobi towards rural areas. Furthermore, OSM had higher content density in large slums, surpassing the authoritative datasets at these locations, while Map Maker showed better coverage in rural housing areas. These results suggest a greater need for a more inclusive approach using VGI to supplement gaps in authoritative data in developing nations.

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Section: Introductionsupporting

confidence: 84%

Authoritative and Volunteered Geographical Information in a Developing Country: A Comparative Case Study of Road Datasets in Nairobi, Kenya

Mahabir

Stefanidis

Croitoru

et al. 2017

IJGI

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“…The authors have also investigated the impact of the number of contributors on positional accuracy, and estimated that high accuracy is achieved when there are at least 15 contributors per square kilometre. Works such as [2,12] have confirmed these observations for countries like France, Germany and Switzerland. Moving from accuracy to coverage of OSM data, a recent study by Zielstra et al [25] shows that coverage in Germany sharply decreases as we move away from city centres; Girres et al [2] also discovered a correlation between the number of OSM objects in an area and number of contributors in that area (i.e., areas with up to three contributors per square kilometre had ten times more contributions than areas with only one contributor, and 5 http://www.navteq.com/ areas with more than three contributors had up to hundred times more contributions).…”

Section: Background and Related Workmentioning

confidence: 64%

“…We did so by dividing Greater London in two: Inner London and Outer London, as depicted in Figure 11. 11 The distinction comes from the London Government Act 1963 12 where Inner London is defined as the richest area in Europe, albeit widespread poverty towards the East and South.…”

Section: Understanding Mediating Influencementioning

confidence: 99%

Putting ubiquitous crowd-sourcing into context

Mashhadi¹,

Quattrone

Capra

2013

Proceedings of the 2013 Conference on Computer Supported Cooperative Work

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Abstract:Ubiquitous crowd-sourcing has become a popular mechanism to harvest knowledge from the masses. OpenStreetMap (OSM) is a successful example of ubiquitous crowd-sourcing, where citizens volunteer geographic information in order to build and maintain an accurate map of the changing world. Research has shown that OSM information is accurate, by comparing it with centrally maintained spatial information such as Ordnance Survey. However, we find that coverage is low and non uniformly distributed, thus challenging the suitability of ubiquitous crowd-sourcing as a mechanism to map the whole world. In this paper, we investigate what contextual factors correlate with coverage of OSM information in urban settings. We find that, although there is a direct correlation between population density and information coverage, other socio-economic factors also play an important role. We discuss the implications of these findings with respect to the design of urban crowd-sourcing applications. UCL DEPARTMENT OF COMPUTER SCIENCE Putting Ubiquitous Crowd-sourcing into Context ABSTRACTUbiquitous crowd-sourcing has become a popular mechanism to harvest knowledge from the masses. OpenStreetMap (OSM) is a successful example of ubiquitous crowd-sourcing, where citizens volunteer geographic information in order to build and maintain an accurate map of the changing world. Research has shown that OSM information is accurate, by comparing it with centrally maintained spatial information such as Ordnance Survey. However, we find that coverage is low and non uniformly distributed, thus challenging the suitability of ubiquitous crowd-sourcing as a mechanism to map the whole world. In this paper, we investigate what contextual factors correlate with coverage of OSM information in urban settings. We find that, although there is a direct correlation between population density and information coverage, other socio-economic factors also play an important role. We discuss the implications of these findings with respect to the design of urban crowd-sourcing applications.

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“…However, these need to be customized for different languages. The 'Levenshtein' algorithm [72] measures the similarity between two strings by calculating the least number of edits that is needed to modify one string to another [46,49,51,55,71]; whereas, 'similar_text' function is a much simpler and faster one, which returns the number of similar characters between the two strings [73]. Barron et al [74] have assessed the attributes and quantitative information of data.…”

Section: Attribute Accuracymentioning

confidence: 99%

Assessing OpenStreetMap Data Using Intrinsic Quality Indicators: An Extension to the QGIS Processing Toolbox

Sehra

Singh

2017

Future Internet

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OpenStreetMap (OSM) is a recent emerging area in computational science. There are several unexplored issues in the quality assessment of OSM. Firstly, researchers are using various established assessment methods by comparing OSM with authoritative dataset. However, these methods are unsuitable to assess OSM data quality in the case of the non-availability of authoritative data. In such a scenario, the intrinsic quality indicators can be used to assess the quality. Secondly, a framework for data assessment specific to different geographic information system (GIS) domains is not available. In this light, the current study presents an extension of the Quantum GIS (QGIS) processing toolbox by using existing functionalities and writing new scripts to handle spatial data. This would enable researchers to assess the completeness of spatial data using intrinsic indicators. The study also proposed a heuristic approach to test the road navigability of OSM data. The developed models are applied on Punjab (India) OSM data. The results suggest that the OSM project in Punjab (India) is progressing at a slow peace, and contributors' motivation is required to enhance the fitness of data. It is concluded that the scripts developed to provide an intuitive method to assess the OSM data based on quality indicators can be easily utilized for evaluating the fitness-of-use of the data of any region.

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A Comparison of the Street Networks of Navteq and OSM in Germany

Cited by 104 publications

References 4 publications

Authoritative and Volunteered Geographical Information in a Developing Country: A Comparative Case Study of Road Datasets in Nairobi, Kenya

Authoritative and Volunteered Geographical Information in a Developing Country: A Comparative Case Study of Road Datasets in Nairobi, Kenya

Putting ubiquitous crowd-sourcing into context

Assessing OpenStreetMap Data Using Intrinsic Quality Indicators: An Extension to the QGIS Processing Toolbox

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