中国城市规模分布实证研究——基于微观空间数据和城市聚类算法的探索

发布时间：2019-03-20 16:17

【摘要】：齐普夫定律反映了城市规模与其位序之间简单而准确的关系,也是研究判别城市集聚和城市体系合理性的重要原则。关于齐普夫定律中城市的定义一直颇有争议,由于传统的空间研究尺度过于宏观,不能反映出真实的城市规模,学术界逐渐开始将眼光转向微观空间尺度,突破传统的行政区划界限,研究真正起到城市功能的微观城市组团。引入国外研究用于划分城市界限的新方法——城市聚类算法,对中国微观空间数据进行处理,以得到的功能性城市组团作为研究对象,根据齐普夫定律对中国城市规模分布进行分析,结果表明中国城市规模分布基本上服从齐普夫定律。此外,将基于城市聚类算法的城市规模分布研究结果与中国地级、区县级和乡镇街道级空间层面的研究结果进行比较,证实了城市聚类算法是研究城市规模分布的一种较好的新方法,它成功架设了宏观层面和微观层面研究之间的桥梁。
[Abstract]:Zipf's law reflects the simple and accurate relation between the scale of the city and its order. It is also an important principle to study the rationality of the urban agglomeration and the urban system. The definition of the city in the law of Zipf has been controversial, because the traditional space research scale is too macro to reflect the real city scale, the academic circle gradually turns to the micro-space scale, breaks through the traditional administrative division limit, Research into the micro-city group that really plays the function of the city. The new method _ city clustering algorithm, which is used to divide the city boundary, is introduced, and the micro-spatial data of China is processed, and the obtained functional city group is used as the research object, and the size distribution of the Chinese city is analyzed according to the Zipf's law. The results show that the size distribution of Chinese cities is basically in accordance with the law of Zipf. In addition, the results of the urban scale distribution based on the urban clustering algorithm are compared with the results of the study on the urban level, the county level and the urban street level, and it is proved that the urban clustering algorithm is a good new method to study the urban scale distribution. It successfully erected a bridge between the macro-level and the micro-level studies.
【作者单位】：北京大学政府管理学院;北京大学科学与工程计算中心;中国科学院遥感与数字地球研究所;
【基金】：国家自然科学基金项目(41071076)
【分类号】：F299.2

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