中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

Journal of Chongqing Jiaotong University(Natural Science) ›› 2023, Vol. 42 ›› Issue (5): 132-138.DOI: 10.3969/j.issn.1674-0696.2023.05.17

• Transportation Infrastructure Engineering • Previous Articles    

Calculation of the Maximum Number of People Gathered at Passenger Stations Based on Travel Characteristics

TANG Qiusheng,XU Hao,ZHANG Yonghui,XIONG Yang,SUN Lingbo   

  1. (School of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China)
  • Received:2021-12-21 Revised:2022-06-14 Published:2023-07-13

基于出行特征的汽车客运站最高聚集人数测算研究

唐秋生,许浩,张永辉,熊洋,孙龄波   

  1. (重庆交通大学 交通运输学院,重庆 400074)
  • 作者简介:唐秋生(1965—),男,湖南永州人,教授,博士,主要从事交通运输规划与管理方面的研究。E-mail:tangwenzhe19@163.com
  • 基金资助:
    国家自然科学基金项目(51208538)

Abstract: In order to achieve the accurate calculation of the maximum number of people gathered at bus terminals, on the basis of the current research results of the maximum number of people gathered at passenger stations, the influence mechanism between the travel characteristics and the arrival time of passengers was further explored. Statistical analysis was conducted on the arrival time propensity of shuttle bus passengers under different departure environments at the same station, and it was found that passengers had significant differences in their arrival time due to different travel characteristics. On the basis of ensuring convenient data acquisition, five travel characteristics were selected to predict the arrival time of passengers. Furthermore, a calculation model for the maximum number of people gathered at a station considering the difference in passenger arrival time was constructed. Taking Chongqing Chenjiaping Bus Station as an example for case study, the effectiveness of the proposed method was verified.

Key words: traffic and transportation engineering; passenger stations; travel characteristics; passenger gathering and dispersing law; the maximum number of people gathered

摘要: 为实现汽车客运站最高聚集人数的准确测算,在现有客运站最高聚集人数研究成果基础上,进一步探索出行特征与旅客到站时间之间的影响机理,针对同一车站不同发车环境下的班车旅客到站时间倾向性进行统计分析,认为旅客因出行特征的不同,其到站时间存在明显差异;在保证数据获取便捷的基础上选取5个出行特征对旅客到站时间进行预测;进而构建考虑旅客到站时间差异的车站最高聚集人数计算模型,并以重庆陈家坪汽车站为例进行案例分析,验证了方法的有效性。

关键词: 交通运输工程;汽车客运站;出行特征;旅客集散规律;最高聚集人数

CLC Number: