Estimation of in-use stock and demand of steel in global scale using nighttime lights and geological information

数据可用性已被认为是进行物料流分析（MFA）的主要障碍。为了克服这一问题，我们开发了一种方法，利用夜间照明卫星数据和地质信息来估计世界上消费份额最大的建筑和土木工程用钢库存。然后，我们估计了没有统计数据的国家的正在使用的钢铁库存。此外，我们还利用动态MFA对未来钢材的库存和需求进行了研究。

Data availability has been recognized as major obstacles to conduct material flow analysis (MFA). To overcome this issue, we have developed a method to use nighttime light satellite data and geological information for estimating in-use steel stock for building and civil engineering in the world which have the largest share in consumption. Then we estimated the in-use steel stock in countries whose statistical data were not available. In addition, we have investigated the in-use stock and demand of steel in the future by dynamic MFA.