Analysing spatiotemporal patterns of tourism in Europe at high-resolution with conventional and big data sources
本研究整合欧洲官方旅游统计与两大在线预订服务的大数据，生成了高分辨率月度游客密度数据集，揭示了欧洲旅游的精细时空模式，对旅游管理和政策制定有参考价值。
Available statistics on tourism from official European sources are limited in terms of both the spatial and temporal resolutions, curbing potential analyses and applications relevant for tourism management and policy. In this study, we produced a novel, complete and consistent dataset describing tourist density at high spatial resolution with monthly breakdown for the whole of the European Union. This is achieved thanks to the integration of data from conventional statistical sources with big data from emerging sources, namely two major online booking services containing the precise location and capacity of tourism accommodation establishments. The produced dataset allowed us to uncover key spatiotemporal patterns of tourism in Europe at unprecedented detail, showcasing the usefulness of complementing official statistical data with emerging big data sources.