• Journal of Geo-information Science
  • Vol. 22, Issue 6, 1254 (2020)
Shaoya ZHAO1、1、2、2, Xingdou YANG2、2, Teqi DAI1、1、2、2、*, and Chao ZHANG3、3
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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    DOI: 10.12082/dqxxkx.2020.190576 Cite this Article
    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 Copy Citation Text show less
    Passenger flow network for each time period on August 13, 2015, Beijing
    Fig. 1. Passenger flow network for each time period on August 13, 2015, Beijing
    Distribution and accumulation rate of the passenger flow in different distance ranges for each period on August 13, 2015, Beijing
    Fig. 2. Distribution and accumulation rate of the passenger flow in different distance ranges for each period on August 13, 2015, Beijing
    Spatial pattern of in-degree centrality for each time period on August 13, 2015, Beijing
    Fig. 3. Spatial pattern of in-degree centrality for each time period on August 13, 2015, Beijing
    Spatial pattern of out-degree centrality for each time period on August 13, 2015, Beijing
    Fig. 4. Spatial pattern of out-degree centrality for each time period on August 13, 2015, Beijing
    Spatial pattern of the weighted in degree centrality for each time period on August 13, 2015, Beijing
    Fig. 5. Spatial pattern of the weighted in degree centrality for each time period on August 13, 2015, Beijing
    Spatial pattern of the weighted out degree centrality for each time period on August 13, 2015, Beijing
    Fig. 6. Spatial pattern of the weighted out degree centrality for each time period on August 13, 2015, Beijing
    Cumulative degree distribution for each time period on August 13, 2015, Beijing
    Fig. 7. Cumulative degree distribution for each time period on August 13, 2015, Beijing
    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
    754870611622201508140730306202687501614
    7175526618598201508140805053314200991822
    Table 1. Examples of data records of smart cards in the Beijing bus system
    时段总量/万人最大值/人最小值/人均值/人方差
    5:00—7:0029.0249716.7114.35
    7:00—9:00137.152223118.9946.01
    9:00—11:0074.461272111.4524.12
    11:00—13:0047.3387018.0215.56
    13:00—15:0041.8361217.4714.36
    15:00—17:0051.1677318.5817.40
    17:00—19:00100.351849114.7434.00
    19:00—21:0075.091460111.7027.70
    21:00—23:0032.0354717.2515.02
    Table 2. Statistics of the passenger flow between grids for each time period on August 13, 2015, Beijing
    客流时段abR2FF(α=0.01)≈13.75
    5:00—7:002.330.210.98376.07通过检验
    7:00—9:002.270.210.99826.48通过检验
    9:00—11:002.070.211.001717.13通过检验
    11:00—13:001.850.201.004813.44通过检验
    13:00—15:001.870.201.002630.49通过检验
    15:00—17:001.970.2101.001535.94通过检验
    17:00—19:001.840.2011.004893.22通过检验
    19:00—21:001.74-0.191.001501.15通过检验
    21:00—23:002.91-0.231.00498.83通过检验
    Table 3. Main coefficients of distance decay models of the traffic flow for each 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
    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
    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
    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
    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
    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
    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
    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
    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
    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 4. Weighted centrality of the top 10 nodes for each time period on August 13, 2015, Beijing
    时段LLrCCr
    5:00—7:003.322.540.410.02
    7:00—9:002.842.200.520.03
    9:00—11:002.892.260.500.03
    11:00—13:002.902.310.480.03
    13:00—15:002.932.330.470.02
    15:00—17:002.942.300.480.03
    17:00—19:002.882.240.510.03
    19:00—21:002.872.270.490.03
    21:00—23:003.062.430.410.02
    Table 5. Comparison of network characteristics between the passenger flow network and random network for each time period on August 13, 2015, Beijing
    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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