居民公交出行链重复性量化分析及其出行规律研究

崔洪军; 孙婉茹; 赵锐; 朱敏清; 李霞

doi:10.3963/j.jssn.1674-4861.2021.03.016

居民公交出行链重复性量化分析及其出行规律研究

doi: 10.3963/j.jssn.1674-4861.2021.03.016

1.
河北工业大学土木与交通学院天津 300401
2.
河北工业大学建筑与艺术设计学院天津 300401

基金项目:

国家自然科学基金项目 51678212

河北省科技厅专项 19970808D

详细信息

通讯作者:
崔洪军（1974—），博士，教授.研究方向：交通规划与管理、交通安全.E-mail：cuihj1974@126.com

中图分类号: U491.1
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- 被引次数: 0
出版历程
- 收稿日期: 2020-06-16

A Quantitative Analysis on Repeatability of Residents'Bus Trip Chain and Travel Regularity

1.
School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin 300401, China
2.
School of Architecture and Art Design, Hebei University of Technology, Tianjin 300401, China

摘要

摘要: 作为城市交通的枢纽，公共交通系统承载了大量的居民出行。自动数据采集系统收集的IC卡数据包含了大量的乘客出行信息，通过这些数据可分析居民公交出行规律，进而优化公交服务。引入信息熵及熵率对居民公交出行链重复性进行量化，研究了基于量化指标分析居民公交出行规律的方法。通过出行地点状态标定，将乘客的出行链转化为离散的出行序列；利用信息熵和熵率对出行序列进行量化分析，得到出行重复性与量化指标的关系，即出行序列的信息熵越大，熵率越小，该乘客出行重复性越高，出行规律越强。基于重复性量化处理，以石家庄公交智能卡乘客出行数据为例，分别从群体和个人这2个方面对公交乘客的出行规律进行分析。结果表明，出行链重复性量化指标可以对出行规律的强弱进行直观判断。当乘客出行规律不明显，但信息熵高于样本均值2.53 bits、熵率低于样本均值1.13 bits/事件时，可通过进一步分析挖掘出乘客潜在出行规律。
- 城市交通 /
- 公交出行链 /
- 重复性 /
- 出行序列 /
- 出行规律
Abstract: As a hub system of urban transportation, public transportation carries a large number of residents'travel.The IC card data collected by the automatic data collection system contains a large number of passenger-travel information, which can be analyzed to optimize the public transport service.The information entropy and entropy rate are introduced to quantify the repeatability of the trip chain of public transport, with the method of analyzing the law of public transport travel based on the quantitative index studied.The trip chain of passengers is transformed into a discrete travel sequence through the state calibration of the travel place.Information entropy and the entropy rate are used to quantitatively analyze the travel sequence, thus obtaining the relationship between travel repeatability and quantitative index.In other words, the higher the information entropy of the travel sequence, the lower the entropy rate, the higher the passengers'travel repeatability, and the stronger the travel rule.Based on the repeatability of quantitative processing, the work takes the travel data of smart card passengers in Shijiazhuang as a case study to analyze the travel rules of bus passengers from group and individual.The results show that the quantification index of trip-chain repeatability can intuitively judge the strength of travel rules.When the information entropy is higher than the sample mean(2.53 bits)and the entropy rate is lower than the sample mean(1.13 bits/event)with the unobvious travel rules of passengers, the potential travel rules of passengers can be mined through further analysis.
- urban traffic /
- bus trip chain /
- repeatability /
- travel sequence /
- travel regularity

HTML全文

图 1 公交出行链时空关联特征示意图

Figure 1. Temporal-spatial correlation features of the bus-trip chain

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图 2 智能卡乘客出行序列的信息熵分布

Figure 2. Distribution of entropy across passengers using smart cards

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图 3 智能卡乘客出行序列熵率分布

Figure 3. Distribution of the entropy rates across smart card passengers

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图 4 所选乘客出行重复性量化指标散点图

Figure 4. Scatter of the quantitative indicators of the repeatability of the selected passengers

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图 5 所选卡号为A的乘客出行活动序列

Figure 5. Activity sequence of CardholderA

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图 6 所选卡号为B的乘客出行活动序列

Figure 6. Activity sequence of CardholderB

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图 7 所选卡号为C的乘客出行活动序列

Figure 7. Activity sequence of CardholderC

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表 1 持卡人出行记录

Table 1. Cardholder's travel records

交易时间	线路名	站点名称
2018-01-01 6:31	2路	北国商城
2018-01-01 10:22	2路	胸科医院
2018-01-02 6:54	2路	北国商城
2018-01-02 10:26	2路	胸科医院
2018-01-03 6:31	2路	水务集团
2018-01-03 6:49	2路	北国商城
2018-01-03 10:49	2路	胸科医院
2018-01-04 15:05	2路	北国商城
2018-01-06 06:25	2路	市城管委
2018-01-06 10:25	2路	水务集团
2018-01-06 11:08	27路	老年病医院

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表 2 所选乘客出行重复性量化指标统计

Table 2. Quantitative indicators of the repeatability of selected passengers'travel

乘客群体 (样本量）	总样本 (600)	老年卡 (200)	成人卡 (200)	学生卡 (200)
信息熵H(X)	2.509	2.379	2.539	2.610
熵率H '(X)	1.132	1.199	1.113	1.086

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表 3 所选乘客出行重复性度量指标统计

Table 3. Quantitative indicators of the repeatability of selected passengers'travel

乘客卡号	A	B	C
信息熵H(X)	2.636	2.512	2.343
熵率H '(X)	1.073	1.124	1.165

下载: 导出CSV

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