论文部分内容阅读
人工抽样调查加上数学模型,是传统交通规划对于了解城市现状的科学手段。面对日新月异的城市发展,尤其是大城市、特大城市、城市群等等,这些传统的“科学手段”——小样本模型遇到了严峻的挑战。随着城市本身的问题越来越复杂,规划学科必须采用新手段,借助定量分析,把握城市人口和客流交通的发展实质。本文主要论述手机移动网络大数据在城市规划、交通分析、城市运营管理中的应用。
Artificial sampling survey coupled with mathematical models is the traditional means of transportation planning for understanding the status quo of cities. In the face of rapidly changing urban development, especially in large cities, megacities, urban agglomerations, etc., these traditional “scientific means” -samples have encountered severe challenges. As the problems of the city itself become more and more complex, planning disciplines must adopt new means and make use of quantitative analysis to grasp the essence of urban population and the development of passenger traffic. This article mainly discusses the mobile big data of mobile network in the city planning, traffic analysis, city operation management application.