Schug Franz, Wiedenhofer Dominik, Haberl Helmut, Frantz David, Virág Doris, van der Linden Sebastian, Hostert Patrick
Geography Department, Humboldt-Universität zu Berlin, Unter den Linden 6, Berlin 10099, Germany.
Integrative Research Institute on Transformations of Human-Environment Systems, Humboldt-Universität zu Berlin, Unter den Linden 6, Berlin 10099, Germany.
Data Brief. 2023 Feb 20;47:108997. doi: 10.1016/j.dib.2023.108997. eCollection 2023 Apr.
High-resolution maps of material stocks in buildings and infrastructures are of key importance for studies of societal resource use (social metabolism, circular economy, secondary resource potentials) as well as for transport studies and land system science. So far, such maps were only available for specific years but not in time series. Even for single years, data covering entire countries with high resolution, or using remote-sensing data are rare. Instead, they often have local extent (e.g., [1]), are lower resolution (e.g., [2]), or are based on other geospatial data (e.g., [3]). We here present data on the material stocks in three types of buildings (commercial and industrial, single- and multifamily houses) and three types of infrastructures (roads, railways, other infrastructures) for a 33-year time series for Austria at a spatial resolution of 30 m. The article also presents data on population and employment in Austria for the same time period, at the same spatial resolution. Data were derived with the same method applied in a recent study for Germany [4].
建筑和基础设施中物质存量的高分辨率地图对于社会资源利用研究（社会新陈代谢、循环经济、二次资源潜力）以及交通研究和土地系统科学至关重要。到目前为止，此类地图仅在特定年份可用，而非时间序列数据。即使是单一年份的数据，能覆盖整个国家且分辨率高，或使用遥感数据的情况也很少见。相反，它们通常范围局限于局部地区（例如[1]），分辨率较低（例如[2]），或者基于其他地理空间数据（例如[3]）。我们在此展示了奥地利33年时间序列中三种类型建筑（商业和工业建筑、单户和多户住宅）以及三种类型基础设施（道路、铁路、其他基础设施）的物质存量数据，空间分辨率为30米。本文还展示了奥地利同期相同空间分辨率下的人口和就业数据。数据采用了近期一项针对德国的研究[4]中所应用的相同方法得出。
