上海城市规划Issue(2)：114-121,8.
上海市职住关系和通勤特征分析研究--基于轨道交通客流数据视角
Study on Job-Housing Relationship and Characteristic of Commuting in Shanghai:Based on the Perspective of Rail Transit Passenger Flow Data
摘要
Abstract
Big Data such as transportation card data, cell phone data, Global Position System provides data support for the study on the behavior of city and people. Using Shanghai public transportation card data in April 2015, and creating general travel rules and virtual transfer rules, this study establishes Shanghai rail transit trip data model. Combined with the spatial data of rail transit network, the study identiifes jobs-housing relationship and characteristics of commuting such as time, distance and spatial distribution in Shanghai. Then the study makes an application of analyzing typical employment centers and large-sized residential communities. The research identiifes more than 1.3 million commuters, with average commuting time of 34.82 minutes and average commuting distance of 12.4 kilometers. The number of residences is about the same in the inner ring, outside the outer ring and between the two rings. But the percentage of employment in the inner ring makes up 2/3. The direction of commuter travel is obviously centripetal. The typical employment center has a wide range of radiation, and the average commuting time is lower in the center. The amount of commuting in large-sized residential communities is different, and the commuter direction is not concentrated in the inner ring.关键词
交通卡刷卡数据/职住关系/通勤特征/上海Key words
Transportation card data/Job-housing relationship/Characteristics of commuting/Shanghai分类
建筑与水利引用本文复制引用
许志榕..上海市职住关系和通勤特征分析研究--基于轨道交通客流数据视角[J].上海城市规划,2016,(2):114-121,8.
