Better knowledge of the spatial distribution of anthropogenic stocks is key for the implementation of circular economy policies. This article focuses on the case of construction materials in the Paris region in 2013. A bottom-up approach using GIS modeling is applied to estimate and locate the stocks of 27 materials and 24 building archetypes, three transport networks and six energy and water networks. The stocks of three sub-urban areas inside the region (Paris, PC and GC) and three neighborhoods representative of urban forms are compared.

The anthropogenic stocks of the Paris region amount to 204 t/capita and contain 96% of non-metallic minerals. Buildings make up 72% of the stocks. Materials located underground represent 47% of the stocks. The density of total stocks is much higher in central Paris (4.6 t/m² of the urbanized area) than in the outskirts of GC (0.7 t/m²). Higher stock density is associated with lower shares of single-family houses and networks in total stocks.

This study suggests the possibility of systematically assessing stocks of construction materials using statistical data and GIS modeling over French regions and cities. As studying stocks with a bottom-up approach is data-intensive, to provide more accurate information, the availability and quality of data are crucial.

更好地了解人为种群的空间分布是实施循环经济政策的关键。本文重点介绍2013年巴黎地区的建筑材料案例。采用自下而上的方法，使用GIS建模方法来估计和定位27种材料和24种建筑原型，3个运输网络以及6个能源和水网络的库存。比较了该区域内三个郊区区域（巴黎，PC和GC）和三个代表城市形态的社区的存量。

巴黎地区的人为资源量为204吨/人均，其中包含96％的非金属矿产。建筑物占库存的72％。位于地下的材料占库存的47％。巴黎市中心的总存货密度（城市化地区的4.6吨/平方米）比GC郊区的总存货密度（0.7吨/平方米）高得多。较高的库存密度与单户住宅和网络在总库存中所占的份额较低有关。

这项研究表明，有可能使用法国地区和城市的统计数据和GIS建模系统地评估建筑材料的库存。由于使用自下而上的方法研究股票是数据密集型的，因此要提供更准确的信息，数据的可用性和质量至关重要。