Journal of Geo-information Science >
Analyzing the Spatio-Temporal Characteristics of Beijing′s OD Trip Volume Based on Time Series Clustering Method
Received date: 2015-09-14
Request revised date: 2015-12-10
Online published: 2016-09-27
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Citizens′ intra-city trips are often influenced by the allocation of resources and urban functional areas, such as the educational areas, entertainment areas, business areas and residential areas. Therefore, citizens′ travelling pattern can reflect the city structure and unveil the urban function zoning. Meanwhile, the widespread of GPS vehicle navigation equipment makes it possible to achieve a vast amount of vehicle trajectory. With the support of the vast vehicle trajectory data, we can analyze citizens′ travelling mode and understand the city structure. In this paper, we investigated citizens′ travelling pattern and the urban functional structure of Beijing with the taxi trajectory data of one-month period and the information of land parcels divided by major roads. To analyze the citizen′s travelling mode, we extracted the trip volume time series in every parcel and adopted a new method which could cover the proximity on both the values and the behavior to cluster the time series data. In the end, we discussed the correlation between citizens′ travelling mode and urban functions in different regions, based on Beijing′s POI data. The result showed that there were obvious differences in the travelling patterns between the weekdays and weekends. During the weekdays, there were two rush hours, which were different from the ordinary commute rush hours. Looking at the clustering results of the weekday data, the spatial distribution of different clusters basically arranged like concentric circles, and the travelling volume of every circle decreased with respect to the increasing distance to its center. The conclusions made in this research are meaningful for the analysis of citizens′ travelling mode and for assisting urban transportation planning.
CHENG Jing , LIU Jiajun , GAO Yong . Analyzing the Spatio-Temporal Characteristics of Beijing′s OD Trip Volume Based on Time Series Clustering Method[J]. Journal of Geo-information Science, 2016 , 18(9) : 1227 -1239 . DOI: 10.3724/SP.J.1047.2016.01227
Fig.1 The division result of the traffic zones in Beijing图1 北京市地块划分结果 |
Fig.2 The time series of taxi pick-ups and drop-offs图2 出租车轨迹上下车点数量随时间变化 |
Fig.3 The comparison of daily average amount of pick-ups and drop-offs between weekdays and weekends图3 工作日周末每天平均上下车数量对比 |
Fig.4 The changes of Silhouette and Dunn results with respect to different K values图4 轮廓系数和Dunn值随K值的变化 |
Fig.5 The clustering results of weekday pick-ups′ time series图5 工作日上车量聚类结果 |
Fig.6 The clustering results of weekend pick-ups′ time series图6 周末上车量聚类结果模具费 |
Fig.7 The clustering results of weekday drop-offs′ time series图7 工作日下车量聚类结果 |
Fig.8 The clustering results of weekend drop-offs′ time series图8 周末下车量聚类结果 |
Fig.9 The normalized density of POI in every cluster (the order of the three graphs in every sub-graph set corresponds to the order of the POI groups)图9 每类地块归一化POI密度值(每组图中第1至第3幅图分别对应第1至第3组POI) |
The authors have declared that no competing interests exist.
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