快速城市化的空间过程检测与动态机制分析

The Spatial Process Monitoring and Dynamic Mechanism Analysis of Rapid Urbanization

监测并理解建成区扩张有助于管理城市发展。针对城市建成区提取与其空间扩张驱动力分析存在的困难,提出集遥感信息提取与驱动力分析于一体的技术框架,利用面向对象分类技术提取建成区,采用扩张指标分析城市扩张过程,使用随机森林回归分析城市扩张驱动因素。结果表明,研究区在最近25年里建成区的扩张存在时空差异,研究期内城市扩张主要受社会经济因素和邻域因素驱动,其主导驱动力随时间的推移而演变。

Monitoring and understanding the expansion of built-up areas can help the sustainable development of a city. However, significant challenges in the extraction of urban areas and its dynamic mechanism, this study proposes an integrated framework for extracting urban area and analyzing urban expansion. This framework applies geographic object-based image analysis and random forests algorithm to monitor the urban expansion and analyze the dynamic process by using the expansion indicators, and explores the dynamic driving forces of urban area expansion with random forests regression. The results show that the urban area expansion of the study area has a spatio-temporal differentiation within the last 25 years. The urban area expansion of the study area is mainly driven by socio-economic factors and neighborhood factors, andits driving force has evolved over time.