Abstract:

Measuring job-housing balance is an important part of job-housing related research, and the dataset applied in previous researches is expanded from survey and census data to LBS data. However, current research lacks comparative studies between different data sources. Beijing urban area is taken as an example to measure and analyze job-housing balance spatial-temporally from different aspects, using different kinds of LBS data, which including heatmap data, Point-of-interest data and Weibo-checkin data. This could provide decision-making reference to improve the job-housing balance. The authors compare the differences in the results of LBS data with the traditional population and economic census data, discusses the causes of the differences, and provides suggestions for further improving the research of LBS data in job-housing relations.

Key words: location based services data, job-housing balance, comparative study, Beijing urban area

摘要：

采用多源LBS数据(热力图数据、POI数据、微博签到数据), 对北京城区职住关系进行测定和分析, 从不同角度测度北京城区职住关系的时间和空间特征, 研究结果可为改善城市职住关系提供决策参考。比较了LBS数据同传统人口和经济普查数据所测度的职住关系结果的差异性, 讨论差异产生原因, 为更好地利用LBS数据进行职住关系研究提供建议。

关键词: LBS数据, 职住平衡, 对比研究, 北京城区