Understanding individual and collective mobility patterns from smart card records: a case study in Shenzhen

被引：0
|
作者：
Liu, Liang [1 ]
Hou, Anyang [1 ]
Biderman, Assaf [1 ]
Ratti, Carlo [1 ]
Chen, Jun [2 ]
机构：
[1] MIT, SENSEable City Lab, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[2] Tongji Univ, Sch Transportat, Shanghai, Peoples R China
来源：
2009 12TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC 2009) | 2009年
关键词：
mobility pattern; smart card; intelligent transportation system (ITS); visualization; regularity;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Understanding the dynamics of the inhabitants' daily mobility patterns is essential for the planning and management of urban facilities and services. In this paper, novel aspects of human mobility patterns are investigated by means of smart card data. Using extensive smart card records resolved in both time and space, we study the mean collective spatial and temporal mobility patterns at large scales and reveal the regularity of these patterns. We also investigate patterns of travel behavior at the individual level and show that the concentricity and regularity of mobility patterns. The analytical methodologies to spatially and temporally quantify, visualize, and examine urban mobility patterns developed in this paper could provide decision support for transport planning and management.
引用
收藏
页码：842 / +
页数：2
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