[1]陈君,杨东援,赵清梅.公交线路选择的相关性规律和换乘总量计算模型[J].西安建筑科技大学学报(自然科学版),2017,49(06):835-840.[doi:10.15986/j.1006-7930.2017.06.010]
　CHEN Jun,YANG Dongyuan,ZHAO Qingmei.Correlation law for bus routes selection and total transfer volume calculation model[J].J. Xi’an Univ. of Arch. & Tech.(Natural Science Edition),2017,49(06):835-840.[doi:10.15986/j.1006-7930.2017.06.010]
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公交线路选择的相关性规律和换乘总量计算模型()
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西安建筑科技大学学报（自然科学版）[ISSN:1006-7930/CN:61-1295/TU]

卷:
49
期数:
2017年06期
页码:
835-840
栏目:
出版日期:
2017-12-31

文章信息/Info

Title:
Correlation law for bus routes selection and total transfer volume calculation model
文章编号:
1006-7930(2017)06-0835-06
作者:
陈君1; 杨东援2; 赵清梅1
（1.西安建筑科技大学 土木工程学院，陕西 西安 710055；2.同济大学 交通运输工学院，上海 201804）
Author(s):
CHEN Jun1;  YANG Dongyuan2;  ZHAO Qingmei1
（1.School of Civil Engineering, Xi′an Univ. of Arch. & Tech., Xi′an 710055, China; 2. School of Transportation Engineering, Tongji University, Shanghai, 201804, China）
关键词:
交通工程; 公共交通; 换乘; 相关性分析; 公交IC卡数据
Keywords:
Traffic engineering;  public transportation;  transfer;  correlation analysis;  bus smart card data
分类号:
U491.1
DOI:
10.15986/j.1006-7930.2017.06.010
文献标志码:
A
摘要:
传统的公交换乘信息是通过居民出行调查方法获取，具有费用高、数据更新慢等不足.应用公交IC卡数据对乘客连续两次乘车的时间间隔分析，发现当两次乘车为非换乘关系时，选择乘坐相同线路的人次与选择乘坐不同线路的人次之间具有强相关性.通过对相关性规律的内在机理进行理论分析，证明其具有普适性.应用发现的规律建立了公交系统换乘总量的计算模型，并提出了基于公交IC卡数据的计算算法.以大规模实际数据对算法进行了实验和验证，研究结果表明提出的模型和算法具有良好的实用性和精度.
Abstract:
Traditional public transportation transfer information is obtained by resident travel surveys, which have some shortcomings such as high cost, slow update and so on. This paper analyzed time intervals of two consecutive boardings of bus passengers using smart card data and found that there is strong correlation of person-times between choosing same routes and choosing different routes for two non-transfer transit trips. Through theoretical analysis of the internal mechanism, it was proved that this law is universal. According to the finding, the paper established the calculation model of total transit transfer volume and presented the algorithm based on smart card data. The algorithm was tested and validated using large-scale actual data and the results show that the model and algorithm are practical and accurate.

参考文献/References:

[1]GUO Zhan. Transfers and path choice in urban public transport systems[D]. MIT PHD:Boston:Massachusetts Institute of Technology Thesis, 2008. [2]BAGCHI M, WHITE P R. The potential of public transport smart card data [J]. Transport Policy, 2005, (12):464-474. [3]陈学武, 戴霄, 陈茜. 公交IC卡信息采集、分析与应用研究[J].土木工程学报,2004,37(2): 105-110. CHEN Xuewu, DAI Xiao, CHEN Qian. Approach on the information collection, analysis and appliction of bus intelligent Card[J]. China Civil Engineering Journal, 2004, 37(2): 105-110. [4]APTS Data Archiving and Mining System (ADAMS)[R]. Florida Department of Transportation, 2007. [5]HOFMANN M, O′MAHONY M. Transfer journey identification and analyses from electronic fare collection data[C]//Proceedings of the 8th International IEEE Conference on Intelligent Transportation Systems,Vienna, Austria:2005. [6]SEABORN C W. Application of smart card fare payment data to bus network planning in london[D]. Cambridge: Massachusetts Institute of Technology, 2008. [7]CHU K K A, CHAPLEAU R. Enriching archived smart card transaction data for transit demand modeling[J]. Transportation Research Record, 2008, (2063): 63-72. [8]陈君,杨东援.融合智能调度数据的公交IC卡乘客换乘站点判断方法[J],长安大学学报(自然科学版). 2013,33（4）：92-98. CHEN Jun，Yang Dongyuan. Method of identifying transfer bus stops of smart card passengers integrating bus intelligent dispatching data[J].Journal of Chang`an University(Natural Science Edition), 2013, 33(4): 92-98. [9]南宁市规划管理局.南宁市公共交通规划（2008-2020）[R].上海：同济大学,2010. Nanning City Planning Bureau. Public pransportation planning of Nanning City（2008-2020）[R]. Shanghai:Tongji University, 2010.

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备注/Memo

备注/Memo:
收稿日期:2016-11-22 修改稿日期:2017-11-02 基金项目:国家自然科学基金项目(51208408)；陕西省自然科学基础研究计划项目(2014JQ7279,2017JM5121)；陕西省教育厅专项科研计划项目(17JK0461) 第一作者:陈君(1977-)，男，博士，副教授，主要从事城市交通规划与管理方面的研究. E-mail:chenjuntom@126.com
更新日期/Last Update: 2018-02-11