The Characteristics on Commuting Travel Mode Split and Origin Destination (OD) Distribution in Shenzhen, China

被引:0
|
作者
Tan, Jiyuan [1 ]
Huang, Yibin [1 ]
Li, Zhengxi [1 ]
Wang, Li [1 ]
Guo, Weiwei [1 ]
Li, Honghai [2 ]
机构
[1] North China Univ Technol, Beijing Key Lab Urban Intelligent Traff Control T, Beijing, Peoples R China
[2] Minist Transport, Res Inst Highway, Beijing, Peoples R China
来源
2017 6TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS (DDCLS) | 2017年
基金
中国国家自然科学基金; 北京市自然科学基金;
关键词
Commuting Mode Choice; Traffic Demand; Origin Destination Distribution; CHOICE;
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
With the rapid development of urbanization in China, the governments usually face the problem of traffic congestion, mainly due to the rapid increase in traffic demand. Group disparity between commuting mode choice and origin destination space distribution has enabled us to explore the cause of these differences and basic causes of traffic congestion. In recent years, commuting mode and behavior-based spatial analysis have sprung up. However, it is difficult to study the relationship between commuting mode choice and origin destination space distribution since the commuting characteristics data are invisible in a specific space. In this paper, the classical origin destination (OD) theory is usually employed to calculate data when studying commuting mode choice and we take Shenzhen as an example to study the daily travel mode of residents. Meanwhile, the traffic volume distribution of taxis, buses and subways in rush hours, which was analyzed as the basis for commuting travel split. Moreover, the OD data of taxi, bus and subway trips were used to explain the distribution of job-housing and traffic demand in different urban area. The results will be useful for optimizing the structure of the Shenzhen municipal traffic system in the final, which has important reference value.
引用
收藏
页码:716 / 720
页数:5
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