交通大数据视角看广佛同城

广佛同城发展由来已久,是中国城市群中同城化程度最高的区域。简要分析广佛同城的交通基础设施发展演变历程,并基于模糊大数据(手机信令数据)和准确大数据(运行监测数据)对广佛通勤交通特征进行分析。结合手机信令数据对广州南站的客流组成及空间分布进行研究,对广州南站选址偏远问题进行解析。结果表明:广佛同城具有双向对等性的联系;地铁在同城化推进过程中起到重要的促进作用,拓展同城化活动范围;广州市机动车交通需求管理政策不够系统,非广佛车牌在通勤小汽车中比例超过40%,需要引起足够的关注;广州南站服务的客流中广州客流与佛山客流比为7:3,与对应的常住人口规模比例相当,初步实现了交通战略规划提出的共享理念。

Guangzhou-Foshan Integration Development through Transportation Big Data

The time-honored Guangzhou-Foshan integration development represents the highest degree of urbanization among the cluster of metropolitan areas in China. This paper briefly introduces the develop-ment of transportation infrastructure facilities in Guangzhou-Foshan integration, and analyzes the charac-teristics of commuting travel between Guangzhou and Foshan using fuzzy big data (cellular signaling data) and accurate big data (operation monitoring data). Based on the cellular signaling data, the paper discusses the passenger composition and spatial distribution of Guangzhou South Railway Station, as well as the problem of the remote site selection. The results show that Guangzhou and Foshan have bidirectional pas-senger connections. The subway plays a critical role in promoting the integration and expanding the scope of integration activities. The travel demand management policy of motorized transportation in Guangzhou is less systematic, and cars with plates outside Guangzhou and Foshan account for more than 40%among all commuting cars, which deserves to be acknowledged. The ratio of passengers from Guangzhou and Fos-han at Guangzhou South Railway Station is 7:3, which is corresponding to the ratio of resident population. The sharing concept proposed in transportation strategic planning has been preliminarily realized.