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

重庆交通大学学报(自然科学版) ›› 2020, Vol. 39 ›› Issue (10): 1-4.DOI: 10.3969/j.issn.16740696.2020.10.01

• 交通+大数据人工智能 •    下一篇

天气因素对北京市地铁客流量的影响

韩西丽1,2,罗阳1   

  1. (1. 北京大学深圳研究生院 城市规划与设计学院,广东 深圳 518055; 2. 北京大学 建筑与景观设计学院,北京 100871)
  • 收稿日期:2019-09-24 修回日期:2020-09-08 出版日期:2020-10-30 发布日期:2020-11-03
  • 作者简介:韩西丽(1975—),女,陕西咸阳人,副教授,博士,主要从事可持续城市设计方面的研究。Email:hanxl@pkusz.edu.cn 通信作者:罗阳(1994—),男,河南开封人,硕士研究生,研究方向为可持续城市设计。Email:1801213435@pku.edu.cn

Impacts of Weather Factors on Subway Passenger Flow of Beijing

HAN Xili1,2, LUO Yang1   

  1. (1. School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, Guangdong, China; 2. School of Architecture and Landscape Design, Peking University, Beijing 100871, China)
  • Received:2019-09-24 Revised:2020-09-08 Online:2020-10-30 Published:2020-11-03

摘要: 为了研究天气因素对地铁客流量的影响规律,基于北京市2016—2018年的逐日气象数据及地铁日客流量数据,通过SPSS 24统计及单因子方差分析,研究了天气状况、风力、空气质量及极端高温(T>30 ℃)、极端低温(T<0 ℃)等天气因素对北京市地铁日客流量的影响。结果表明:极端高温(T>30 ℃)天气下,北京市地铁日客流量在工作日期间增加,在周末则无显著变化;极端低温(T<0 ℃)天气下,在工作日期间及周末,北京市地铁日客流量均减少;工作日期间及周末,天气状况、风力、空气质量等因素对地铁日客流量的影响不显著。

关键词: 交通工程, 客流量, 空气质量, 极端天气

Abstract: In order to study the influence rule of weather factors on the passenger flow of subway, based on the daily meteorological data and subway passenger flow data of Beijing from 2016 to 2018, the influence of weather condition, wind force, air quality, extreme high temperature (T>30 ℃), extreme low temperature (T<0 ℃) and other weather factors on the daily subway passenger flow of Beijing was analyzed through SPSS 24 statistics and oneway ANOVA. The results show that under the extreme high temperature weather (T>30 ℃), the daily subway passenger flow of Beijing increases during working days, but does not change significantly on weekends. Under the extreme low temperature weather (T<0℃), the daily subway passenger flow of Beijing decreases during working days and weekends. During working days and weekends, weather condition, wind force, air quality and other factors have no significant influence on the daily subway passenger flow.

Key words: traffic engineering, passenger flow, air quality, extreme weather

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