Analysis on passengers' agglomeration behavior at highway passenger stations considering group difference

doi:10.16265/j.cnki.issn1003-3033.2022.02.007

Abstract

Abstract:

In order to reduce potential safety hazards caused by passenger agglomeration at passenger stations during peak periods, based on full sample ticket purchasing data of highway passenger transport, a quantitative model of agglomeration behavior was established from three aspects, which were agglomeration probability, duration and intensity, and gathering characteristics of passenger flows at different levels of stations during weekdays, holidays and Spring Festival were obtained. Then, considering passengers' individual attributes and travel characteristics, agglomeration behavior characteristics of different groups were analyzed. Finally, a difference test was conducted to analyze influencing factors of such behavior, and countermeasures to reduce security risks were put forward. The results show that probability of passenger agglomeration in highway stations follows distribution of six polynomials, and its cumulative probability follows that of quadratic function, with highest probability of it occurring [10,20]min before departure. Regardless of travel distance, most travelers have a short waiting time, but in different periods, their flow concentration intensity and speed for different levels of passenger stations are significantly different. The spatial and temporal clustering characteristics of the first level stations are significant, while randomness of second level ones is stronger.

Key words: passenger group, highway passenger station, passenger aggregation behavior, travel distance, safety risk

ZUO Wei, JI Xiaofeng, CHEN Fang, QIN Wenwen. Analysis on passengers' agglomeration behavior at highway passenger stations considering group difference[J]. China Safety Science Journal, 2022, 32(2): 42-50.

Figures/Tables 11

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References 14

[1]	覃频频, 陆凯平, 黄大明, 等. 利用模糊集理论评价公路客运站安全管理工作[J]. 中国安全科学学报, 2006, 16(5):31-36.
	QIN Pinpin, LU Kaiping, HUANG Daming, et al. Assessment of highway bus station by fuzzy set theory[J]. China Safety Science Journal, 2006, 16(5):31-36.
[2]	ODD I, ØYVIND S. Waiting time and the role and value of information in scheduled transport[J]. Research in Transportation Economics, 2008, 23(1):41-52. doi: 10.1016/j.retrec.2008.10.005
[3]	MARCO L, ULRICH W, ANDREW N. Passenger arrival rates at public transport stations[C]. CD-ROM. Proceedings of the 86^th Annual Meeting of the Transportation Research Board, 2007:1-12.
[4]	王菲, 孙全欣, 毛保华, 等. 基于时刻表协调的同台换乘聚集人数计算模型[J]. 交通运输系统工程与信息, 2013, 13(3):163-169.
	WANG Fei, SUN Quanxin, MAO Baohua, et al. Calculation model for passenger assembling on one-platform-transfer station based on timetable coordination[J]. Journal of Transportation Systems Engineering and Information Technology, 2013, 13(3):163-169.
[5]	刘启钢, 朱克非, 杜旭升. 大型客运站最高聚集人数仿真计算方法研究[J]. 铁道学报, 2011, 33(8):1-6.
	LIU Qigang, ZHU Kefei, DU Xusheng. Research on calculation method of the maximum number of gathering passengers in large stations[J]. Journal of the China Railway Society, 2011, 33(8):1-6.
[6]	王爱丽, 董宝田, 高春霞. 铁路客运站旅客聚集分布仿真模型与算法研究[J]. 交通运输系统工程与信息, 2013, 13(1):142-148.
	WANG Aili, DONG Baotian, GAO Chunxia. Assembling model and algorithm of railway passengers distribution[J]. Journal of Transportation Systems Engineering and Information Technology, 2013, 13(1):142-148.
[7]	杨晓光, 安健, 刘好德, 等. 公交运行服务质量评价指标体系探讨[J]. 交通运输系统工程与信息, 2010, 10(4):13-21.
	YANG Xiaoguang, AN Jian, LIU Haode, et al. Evaluation architecture discussion of route-level transit service quality[J]. Journal of Transportation Systems Engineering and Information Technology, 2010, 10(4):13-21.
[8]	吕慎, 田锋, 莫一魁. 轨道交通枢纽地铁换乘接运公交乘客平均候车时间研究[J]. 公路交通科技, 2014, 31(12):92-97.
	LYU Shen, TIAN Feng, MO Yikui. Average waiting time of passengers transferring from subway to feeder bus at rail transit hub[J]. Journal of Highway and Transportation Research and Development, 2014, 31(12):92-97.
[9]	戢晓峰, 连晨希. 公路城际出行链模式划分及其形成机制[J]. 交通运输系统工程与信息, 2017, 17(6):13-19,39.
	JI Xiaofeng, LIAN Chenxi. Intercity highway trip chain model and its formation mechanism[J]. Journal of Transportation Systems Engineering and Information Technology, 2017, 17(6):13-19,39.
[10]	戢晓峰, 李德林. 基于潜在类别的公路旅客群体细分模型[J]. 公路交通科技, 2019, 36(10):152-158.
	JI Xiaofeng, LI Delin. A model for segmentation of highway passenger groups based on latent class[J]. Journal of Highway and Transportation Research and Development, 2019, 36(10):152-158.
[11]	李军, 贾顺平. 道路客运提前购票行为模型[J]. 公路交通科技, 2019, 36(10):144-151.
	LI Jun, JIA Shunping. A model for advance ticketing behaviors of road passenger transport[J]. Journal of Highway and Transportation Research and Development, 2019, 36(10):144-151.
[12]	吴仲文. 客运专线客运站候车大厅规模研究[D]. 长沙: 中南大学, 2010.
	WU Zhongwen. Study on waiting hall scale of passenger dedicated line station[D]. Changsha: Central South University, 2010.
[13]	张瑞博. 铁路客运站候车能力分析及计算方法研究[D]. 北京: 北京交通大学, 2011.
	ZHANG Ruibo. Analysis and calculation method of waiting capacity at railway passenger stations[D]. Beijing: Beijing Jiaotong University, 2011.
[14]	刘晓芳, 吝涛, 郑千惠, 等. 城市街巷型公共空间人群聚集安全风险量化评估[J]. 中国安全科学学报, 2016, 26(12):134-139.
	LIU Xiaofang, LIN Tao, ZHENG Qianhui, et al. Quantitative risk assessment of crowd safety in urban public space in street form[J]. China Safety Science Journal, 2016, 26(12):134-139.

个体属性	购票信息	取票信息	乘车信息	出行路径
身份证信息	购票渠道	取票日期	乘车站名称	线路名称
	购票日期	取票时间	发车日期	到站点
	购票时间	取票时间	发车时间	里程

时期	出行距离/km	样本量	均值	中位数	标准差	偏度	峰度
工作日	[60,100)	121	45.90	43.27	31.07	0.72	0.18
	[100,300)	700	59.47	47.08	49.56	1.44	1.91
	[300,500)	322	40.37	28.93	40.39	2.31	5.87
	[500,800)	45	60.05	45.10	46.50	1.09	0.68
周末	[60,100)	166	46.78	34.90	35.54	1.04	0.30
	[100,300)	887	67.92	53.48	50.78	1.08	0.63
	[300,500)	724	53.09	48.78	34.65	1.72	4.92
	[500,800)	39	76.85	71.78	51.33	0.60	-0.51
节假日	[60,100)	113	41.20	37.00	35.21	2.92	14.24
	[100,300)	687	58.46	46.08	44.62	1.36	1.69
	[300,500)	502	45.90	41.71	34.66	2.41	8.21
	[500,800)	45	80.95	62.28	53.02	0.60	-0.59
春运	[60,100)	115	49.89	40.03	38.01	2.06	6.34
	[100,300)	587	59.28	47.43	44.26	1.15	1.15
	[300,500)	667	87.21	78.20	49.33	0.29	-1.08
	[500,800)	34	100.34	83.38	60.01	0.47	-1.15

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