Over the last decade, Volunteered Geographic Information (VGI) has emerged as a viable source of information on cities. During this time, the nature of VGI has been evolving, with new types and sources of data continually being added. In light of this trend, this paper explores one such type of VGI data: Volunteered Street View Imagery (VSVI). Two VSVI sources, Mapillary and OpenStreetCam, were extracted and analyzed to study road coverage and contribution patterns for four US metropolitan areas. Results show that coverage patterns vary across sites, with most contributions occurring along local roads and in populated areas. We also found that a few users contributed most of the data. Moreover, the results suggest that most data are being collected during three distinct times of day (i.e., morning, lunch and late afternoon). The paper concludes with a discussion that while VSVI data is still relatively new, it has the potential to be a rich source of spatial and temporal information for monitoring cities.

中文翻译：

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众包街景图像：Mapillary和OpenStreetCam的比较

在过去的十年中，自愿地理信息（VGI）成为了有关城市的可行信息来源。在这段时间里，VGI的性质一直在发展，不断增加新的类型和数据源。根据这种趋势，本文探讨了一种此类VGI数据：“自愿街景图像（VSVI）”。提取并分析了两个VSVI来源，即Mapillary和OpenStreetCam，以研究美国四个大都市区的道路覆盖和贡献模式。结果表明，不同站点的覆盖方式各不相同，大部分贡献发生在当地道路和人口稠密地区。我们还发现，一些用户贡献了大部分数据。此外，结果表明，大多数数据是在一天的三个不同时间（即早晨，午餐和午后）收集的。