文章编号： 1672-5328（2020）05-0027-07

宋程，金安，马小毅，陈先龙，李彩霞
(广州市交通规划研究院，广东广州510030)

摘要： 职住空间分布是城市规划研究的热点问题之一。基于手机信令和互联网位置数据，提出城市 职住及其对应关系的计算方法，并以广州市为例测度职住平衡各指标。以64 个交通中区数据验证 职住空间分布与居民出行呈现明显关联性，得出以下结果：动态职住平衡率越高，交通流动性越 低，有利于交通拥堵治理；动态职住平衡率与静态职住比呈现倒“U”型关联，合理的静态职住比 应为0.55~0.60；就业密度对出行强度影响远大于人口密度。最后，提出组团平衡、新规划区合理职 住配比、就业疏散等规划理念，指导城市新区的规划建设工作。

关键词： 城市规划；职住平衡；大数据；出行强度；交通流动性；广州市

中图分类号： U491

文献标识码：A

Evaluation on Job-Housing Balance and Coordination in Guangzhou

Song Cheng, Jin An, Ma Xiaoyi, Chen Xianlong, Li Caixia
(Guangzhou Transport Planning Research Institute, Guangzhou Guangdong 510030, China)

Abstract： The job- housing spatial distribution is a popular topic among studies on urban planning. Based on cellular signaling data and location data, this paper puts forward a methodology to discuss job-housing spatial distribution, and taking Guangzhou as an example to evaluate the indicators of the job-housing balance. By analyzing the collected data of 64 traffic zones in Guangzhou, the paper concludes that the job-housing spatial distribution is significantly related to residents travel. The results show that the higher job-housing balance, the lower the traffic mobility, which is important for traffic congestion improvement. It implies an“inverted U”pattern for the relationship of dynamic and static job-housing balance ratio, and the reasonable static job-housing ratio should be located between 0.55 and 0.60. Employment density has a greater impact on travel intensity than population density. Finally, the paper proposes planning principles such as group travel balance, job-housing coordination, and employment decentralization to improve planning and construction in the new planning area.

Keywords： urban planning; job-housing balance; big data; travel intensity; traffic mobility; Guangzhou