Modeling In-Use Steel Stock in China’s Buildings and Civil Engineering Infrastructure Using Time-Series of DMSP/OLS Nighttime Lights

摘要: Abstract: China’s rapid urbanization has led to increasing steel consumption for buildings and civil engineering infrastructure. The in-use stock in the same is considered be closely related social welfare urban metabolism. Traditional approaches determining are labor-intensive time-consuming processes always hindered by availability of statistical data. To address this issue, study proposed use long-term nighttime lights as a proxy effectively estimate (IUSSB) infrastructure (IUSSCE) at provincial level China. Significant relationships between versus IUSSB IUSSCE were observed variables single year, well time series province. However, these found differ among provinces (referred ―inter-individual differences‖) with ―temporal differences‖). Panel regression models therefore consideration temporal inter-individual differences based on dataset covering 1992–2007. These validated using data 2008, results showed good estimation both IUSSCE. approach