行为研究是近年来人文地理研究中颇受关注的领域之一,对微观行为进行宏观归纳,进而解释人地关系是提升其理论价值的重要方向之一.GIS的应用在很大程度上解决了研究手段上的瓶颈问题.本文将GIS与传统的研究方法相结合,构建基于智能图的微观行为调查方法体系,并利用GIS实现微观行为及空间感知的宏观空间模拟,探讨基于城市居民通勤行为分析的空间解读方法.同时,将该方法运用于广州市,选择具有典型意义的街区进行研究.通过调查,获取典型街区实体空间信息、被调查者社会属性、通勤行为空间和对通勤沿路相关实体要素的感知等信息,进行分析与模拟.一方面,分析认为,居民通勤行为空间在很大程度上反映实体空间的现状及其演化,同时,与社会空间有一定的关系;另一方面,以调查获取的数据为实验基础,利用GIS进行基于个体对实体空间感知的宏观效果模拟实验,该方法能较好地解读实体空间的特征和存在的主要问题,并具有一定的可拓展性.
Behavioral study is one of the hot topics in the field of urban geography. However, the theory in the last decades was limited because of the shortage of its research method and technology. With the development of GIS, the theories on humanism are developed rapidly in recent years, and the study of micro behavior is helpful to explain the macro urban space. In this paper, a study framework is set up, which helps to do some research on the relationship between commuters' travel pattern and urban structure, and a micro-macro simulation model is also given. With this framework and the model, a case study in Guangzhou's typical communities is carded out. The results show that there are some relationships between the development and organization of urban form and commuters' travel pattern, as well as the social aspect. The model simulating the image of the commuters and their evaluation on the environment is carded out as anticipated.