Journal of Guangdong University of Technology ›› 2019, Vol. 36 ›› Issue (04): 31-35.doi: 10.12052/gdutxb.190001

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An Analysis of the Dwelling Time at Bus Stop and Its Influencing Factors

Hu San-gen, He Qi, Lin Rui-hao   

  1. School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China
  • Received:2019-01-04 Online:2019-06-18 Published:2019-05-31

Abstract: Starting with an analysis of process of bus dwelling, a systematic study is conducted on the bus dwell-ing time at bus stop and its influencing factors, aiming at providing reference for improving the service level of bus stops. Taking Guangzhou bus rapid transit as an example, the bus dwelling time is divided into four stages: time for door opening and closing, lost time, boarding and alighting time and delayed time after service. Based on the actual survey data of Guangzhou BRT, the time of each stage was counted and its influencing factors were analyzed. According to the analysis results, the lost time is different in different time stage. The average boarding and alighting time will decrease first and then increase as the number of boarding and alighting passenger increases. These statistical results can provide new ideas for the determination of existing stop time.

Key words: dwelling time, bus stop, lost time, influencing factors

CLC Number: 

  • U491.1
[1] 吴金成, 谢振东, 伍冠桦, 等. 基于交通一卡通数据的交通状态分析及动态控制研究[J]. 广东工业大学学报, 2017, 34(3):77-82 WU J C, XIE Z D, WU G H, et al. A study of traffic status and dynamic control based on ic card data[J]. Journalof Guangdong University of Technology, 2017, 34(3):77-82
[2] LOBO A X. Automatic vehicle location technology:Applications for buses[D]. London:University of London, 1997.
[3] 邱杨. 提高公交站点停靠能力研究[D]. 武汉:华中科技大学, 2007.
[4] 王旭, 陈旭梅, 寇伟彬, 等. 公交站点停靠时间预测模型研究[J]. 交通信息与安全, 2016, 34(2):55-61 WANG X, CHEN X M, KOU W B, et al. A prediction model of bus dwelling time at the stops[J]. Journal of Transport Information and Safety, 2016, 34(2):55-61
[5] 王璇. 多种道路形态下的全天候公交停靠站时间预测方法研究[D]. 济南:山东大学, 2018.
[6] KRAFT W H, ENG-WONG P. Passenger service time characteristics of street transit systems[C].//47th Annual Meeting, Compendium of Tech-nical Papers, Mexico City:Institute of Trans-portation Engineers, 1977, 569-582.
[7] GIBSON J, BAEZA I, WILLUMSEN L. Bus-stops, congestion and congested bus-stops[J]. Traffic engineering & control, 1989, 30(6):291-302
[8] JEPSON D, FERREIRA L. Assessing travel time impacts of measure to enhance bus operations. Part Ⅱ:Study methodology and main findings[J]. Road and Transport Research:a journal of Australian and New Zealand research and practice, 2000, 9(1):3-18
[9] SAKA A A. Model for determining optimum bus-stop spacing in urban areas[J]. Journal of Transportation Engineering, 2001, 127(3):195-199
[10] JAISWAL S, BUNKER J M, FERREIRA L. Operating characteristics and performance of a busway transit station[C].//30th Australasian Transport Research Forum, Melbourne:Plan-ning and Transport Research, Australia, 2007, 1-12.
[11] LEVINSON H, ZIMMERMAN S, CLINGER J, et al. Tcrp report 90:Bus rapid transit, volume 2:Implementation guidelines[R]. Washington, DC:Transportation Research Board of the National Academies, 2003.
[12] 马宏伟, 李刚炎, 胡剑, 等. 城市公交停靠站时间延误分析与对策[J]. 公路与汽运, 2006, 12(6):25-27 MA H W, LI G Y, HU J, et al. Analysis and countermeasures of time delay at bus stop[J]. Highways and Automotive Applications, 2006, 12(6):25-27
[13] 杨远祥. 快速公交(BRT)站点的优化布局研究[D]. 成都:西南交通大学, 2006.
[14] 王希. 城市公交站点延误统计分析及对策研究[D]. 西安:长安大学, 2007.
[15] 龚翔. 城市快速公交停靠站点优化设计方法研究[D]. 南京:东南大学, 2009.
[16] 王虎. 快速公交系统运行分析及设计改良研究[D]. 济南:山东大学, 2011.
[17] 张梦启. 快速公交运行延误及改善方法研究[D]. 长沙:长沙理工大学, 2014.
[18] 刘通. 多线路公交停靠站站台尺寸优化与组织设计[D]. 长春:吉林大学, 2018.
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