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本文以广州为案例,通过通勤高峰期间出租车GPS数据的时空挖掘,分析基于GPS起讫关联的居住地交通产生与分布特征,并讨论其所隐含的城市职住空间关系及在交通需求分析中的潜在价值。研究发现居住用地交通产生的出行距离存在ZIPF法则所表现的衰减规律,到达工业、商业金融和公共服务等用地的距离依次降低,而空间上距离呈中心城区向郊区增加的同心环模式。此外,本文还尝试从交通模型参数设定、职—住关系等方面探讨本文研究的应用方向。
Taking Guangzhou as an example, this paper analyzes the generation and distribution of traffic based on the GPS origin-arrival correlation through the space-time mining of taxi GPS data during commuter rush hour, and discusses the implied relationship between the city’s job and residence space and the traffic demand analysis Potential value. The study found that the travel distance of residential land use has the decrement rule of ZIPF, and the distance to the land of industrial, commercial finance and public service decreases in turn, while the spatial distance increases from the central city to the suburbs. In addition, this article also attempts to explore the application direction of this paper from the parameters of traffic model, job-residence relationship and so on.