<trans-title>Within-Day Variation of the Complexity of Bus Passenger Flow Network based on Smart Card Data</trans-title>

Shaoya ZHAO; Xingdou YANG; Teqi DAI; Chao ZHANG

doi:10.12082/dqxxkx.2020.190576

Journal of Geo-information Science, Volume. 22, Issue 6, 1254(2020)

Within-Day Variation of the Complexity of Bus Passenger Flow Network based on Smart Card Data

Shaoya ZHAO1...1,2,2, Xingdou YANG2,2, Teqi DAI1,1,2,2,*, and Chao ZHANG33 |Show fewer author(s)

Author Affiliations

¹. 北京师范大学地理科学学部环境遥感与数字城市北京市重点实验室,北京 100875

¹Beijing Key Laboratory for Remote Sensing of Environment and Digital City, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

². 北京师范大学地理科学学部地理学院,北京 100875

²School of Geography, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

³. 北京市第二十四中学,北京 100005

³Beijing No.24 middle school, Beijing 100005, China

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Figures & Tables(12)

Fig. 1. Passenger flow network for each time period on August 13, 2015, Beijing

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Fig. 2. Distribution and accumulation rate of the passenger flow in different distance ranges for each period on August 13, 2015, Beijing

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Fig. 3. Spatial pattern of in-degree centrality for each time period on August 13, 2015, Beijing

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Fig. 4. Spatial pattern of out-degree centrality for each time period on August 13, 2015, Beijing

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Fig. 5. Spatial pattern of the weighted in degree centrality for each time period on August 13, 2015, Beijing

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Fig. 6. Spatial pattern of the weighted out degree centrality for each time period on August 13, 2015, Beijing

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Fig. 7. Cumulative degree distribution for each time period on August 13, 2015, Beijing

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Table 1. Examples of data records of smart cards in the Beijing bus system
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Table 1. Examples of data records of smart cards in the Beijing bus system
卡号信息卡号类型刷卡次序交易时间线路号车牌号上车站点下车站点
75487061 1 622 20150814073030 62026 87501 6 14
71755266 18 598 20150814080505 331 420099 18 22

Table 2. Statistics of the passenger flow between grids for each time period on August 13, 2015, Beijing

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Table 2. Statistics of the passenger flow between grids for each time period on August 13, 2015, Beijing

时段	总量/万人	最大值/人	最小值/人	均值/人	方差
5：00—7:00	29.02	497	1	6.71	14.35
7：00—9:00	137.15	2223	1	18.99	46.01
9：00—11:00	74.46	1272	1	11.45	24.12
11：00—13:00	47.33	870	1	8.02	15.56
13：00—15:00	41.83	612	1	7.47	14.36
15：00—17:00	51.16	773	1	8.58	17.40
17：00—19:00	100.35	1849	1	14.74	34.00
19：00—21:00	75.09	1460	1	11.70	27.70
21：00—23:00	32.03	547	1	7.25	15.02

Table 3. Main coefficients of distance decay models of the traffic flow for each period on August 13, 2015, Beijing

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Table 3. Main coefficients of distance decay models of the traffic flow for each period on August 13, 2015, Beijing

客流时段	a	b	R²	F	F_(α=_0.01）≈13.75
5:00—7:00	2.33	0.21	0.98	376.07	通过检验
7:00—9:00	2.27	0.21	0.99	826.48	通过检验
9:00—11:00	2.07	0.21	1.00	1717.13	通过检验
11:00—13:00	1.85	0.20	1.00	4813.44	通过检验
13:00—15:00	1.87	0.20	1.00	2630.49	通过检验
15:00—17:00	1.97	0.210	1.00	1535.94	通过检验
17:00—19:00	1.84	0.201	1.00	4893.22	通过检验
19:00—21:00	1.74	-0.19	1.00	1501.15	通过检验
21:00—23:00	2.91	-0.23	1.00	498.83	通过检验

Table 4. Weighted centrality of the top 10 nodes for each time period on August 13, 2015, Beijing

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Table 4. Weighted centrality of the top 10 nodes for each time period on August 13, 2015, Beijing

时段	加权度中心性	排名前10的节点
5:00—7:00	入	国贸、六里桥东、四惠、东直门、国贸东、天通苑北、六里桥北、燕莎桥南、北京西站、北京儿童医院
5:00—7:00	出	六里桥北、六里桥东、东直门、国贸东、北皋、国贸、四惠、东坝中路南口、东坝、大屯
7:00—9:00	入	国贸、四惠、国贸东、东直门、大屯、北京儿童医院、六里桥东、西直门、中关村、天通苑北
7:00—9:00	出	国贸、四惠、东直门、六里桥北、六里桥东、大屯、北京儿童医院、航天桥、马甸桥、西直门
9:00—11:00	入	国贸、中关村、东直门、四惠、国贸东、大屯、白石桥东、北京儿童医院、西直门、红庙路口
9:00—11:00	出	国贸、四惠、东直门、大屯、六里桥北、北京西站、红庙路口、六里桥东、西直门、国贸东
11:00—13:00	入	国贸、东直门、大屯、四惠、前门、北京西站、六里桥东、国贸东、北京儿童医院、六里桥北
11:00—13:00	出	国贸、东直门、四惠、北京西站、大屯、北京儿童医院、六里桥北、六里桥东、西直门、国贸东
13:00—15:00	入	国贸、东直门、大屯、四惠、北京西站、北京儿童医院、六里桥东、前门、六里桥北、国贸东
13:00—15:00	出	国贸、四惠、东直门、北京西站、大屯、六里桥东、北京儿童医院、木樨园桥、六里桥北、国贸东
15:00—17:00	入	国贸、东直门、四惠、北京西站、大屯、六里桥北、六里桥东、前门、牡丹园、西直门
15:00—17:00	出	国贸、东直门、四惠、北京西站、大屯、北京儿童医院、动物园、西直门、六里桥东、木樨园桥
17:00—19:00	入	六里桥北、四惠、国贸、大屯、东直门、六里桥东、牡丹园、通惠、西直门、八宝山
17:00—19:00	出	国贸、四惠、大屯、北京儿童医院、六里桥东、国贸东、东直门、北京西站、六里桥北、木樨园桥
19:00—21:00	入	四惠、国贸、六里桥北、大屯、通惠、东直门、六里桥东、北京西站、沙河、红庙路口
19:00—21:00	出	国贸、四惠、国贸东、东直门、中关村、天通苑北、六里桥东、大屯、北京西站、六里桥北
21:00—23:00	入	六里桥北、大屯、四惠、国贸、北京西站、北京西站、六里桥东、牡丹园、东直门、立水桥
21:00—23:00	出	国贸、中关村、四惠、国贸东、天通苑北、大屯、东直门、立水桥、北京西站、六里桥东

Table 5. Comparison of network characteristics between the passenger flow network and random network for each time period on August 13, 2015, Beijing

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Table 5. Comparison of network characteristics between the passenger flow network and random network for each time period on August 13, 2015, Beijing

时段	L	Lr	C	Cr
5:00—7:00	3.32	2.54	0.41	0.02
7:00—9:00	2.84	2.20	0.52	0.03
9:00—11:00	2.89	2.26	0.50	0.03
11:00—13:00	2.90	2.31	0.48	0.03
13:00—15:00	2.93	2.33	0.47	0.02
15:00—17:00	2.94	2.30	0.48	0.03
17:00—19:00	2.88	2.24	0.51	0.03
19:00—21:00	2.87	2.27	0.49	0.03
21:00—23:00	3.06	2.43	0.41	0.02

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Shaoya ZHAO, Xingdou YANG, Teqi DAI, Chao ZHANG. Within-Day Variation of the Complexity of Bus Passenger Flow Network based on Smart Card Data[J]. Journal of Geo-information Science, 2020, 22(6): 1254

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Paper Information

Received: Oct. 5, 2019

Accepted: --

Published Online: Nov. 12, 2020

The Author Email: DAI Teqi (daiteqi@bnu.edu.cn)

DOI:10.12082/dqxxkx.2020.190576

Topics

Resource Economy

Research Articles

Table 1. Examples of data records of smart cards in the Beijing bus system

Table 1. Examples of data records of smart cards in the Beijing bus system

Table 2. Statistics of the passenger flow between grids for each time period on August 13, 2015, Beijing

Table 2. Statistics of the passenger flow between grids for each time period on August 13, 2015, Beijing

Table 3. Main coefficients of distance decay models of the traffic flow for each period on August 13, 2015, Beijing

Table 3. Main coefficients of distance decay models of the traffic flow for each period on August 13, 2015, Beijing

Table 4. Weighted centrality of the top 10 nodes for each time period on August 13, 2015, Beijing

Table 4. Weighted centrality of the top 10 nodes for each time period on August 13, 2015, Beijing

Table 5. Comparison of network characteristics between the passenger flow network and random network for each time period on August 13, 2015, Beijing

Table 5. Comparison of network characteristics between the passenger flow network and random network for each time period on August 13, 2015, Beijing

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