Analysis of changes in the economic development characteristics of the Chengdu-Chongqing urban agglomeration using remote sensing data on nighttime light
To resolve the limitations of traditional economic data such as the lack of spatial information and the difficulty in capturing the spatial disparities and dynamic patterns of regional economic development,this study integrated nighttime light data with land use and socio-economic data to develop a spatialized gross domestic product(GDP)model for the Chengdu-Chongqing region.Using trend analysis and a modified gravity model,this work analyzes the economic development characteristics of the region at the pixel level and in terms of inter-city economic relationships.The results indicate that the spatialized GDP model,constructed from multiple data sources,demonstrated high accuracy,with errors not exceeding 1.1％.The areas with the fastest GDP density growth in the Chengdu-Chongqing region are mainly concentrated around the core urban areas of Chengdu and Chongqing,accounting for approximately 73.9％of the total.These areas also show pronounced economic agglomeration characteristics.The inter-city economic relationships in the Chengdu-Chongqing region are continually strengthening,and the overall quality of urban development is steadily improving.Chengdu,in particular,has the closest economic ties with its neighboring cities.Overall,the Chengdu-Chongqing regional economy exhibits a spatial pattern of"dual-core driven development",with the intensity of inter-city economic relationships continuing to strengthen.This study will provide valuable data support and methodological insights for promoting the high-quality economic development of the Chengdu-Chongqing urban agglomeration.
NPP/VIIRS night light dataGDP spatializationChengdu-Chongqing urban agglomerationmodified gravity modeleconomic development
万方数据
维普
