论文标题
从人类流动性模式的可变性中推断出城市多中心
Inferring urban polycentricity from the variability in human mobility patterns
论文作者
论文摘要
多中心的城市模式在空间规划政策中广受欢迎，因为据信它可以克服单中心大都市中经常存在的一些问题，从充血到难以访问的工作和服务。但是，“多中心城市”的概念具有模糊的定义，结果，城市是多中心的程度。在这里，我们利用智能旅行卡数据的精细时空分辨率来推断城市多中心，通过研究城市如何偏离定义明确的单中心模型。特别是，我们通过引入一种新颖的概率方法来捕捉这些人类运动的复杂性，分析城市结构的复杂形式而产生的人类运动。我们将重点放在伦敦（英国）和首尔（韩国）作为我们的两个案例研究上，我们特别发现证据表明，伦敦的单中心程度高于首尔，这表明首尔可能比伦敦更多年。
The polycentric city model has gained popularity in spatial planning policy, since it is believed to overcome some of the problems often present in monocentric metropolises, ranging from congestion to difficult accessibility to jobs and services. However, the concept 'polycentric city' has a fuzzy definition and as a result, the extent to which a city is polycentric cannot be easily determined. Here, we leverage the fine spatio-temporal resolution of smart travel card data to infer urban polycentricity by examining how a city departs from a well-defined monocentric model. In particular, we analyse the human movements that arise as a result of sophisticated forms of urban structure by introducing a novel probabilistic approach which captures the complexity of these human movements. We focus on London (UK) and Seoul (South Korea) as our two case studies, and we specifically find evidence that London displays a higher degree of monocentricity than Seoul, suggesting that Seoul is likely to be more polycentric than London.
