Impacts of Weather Factors on Subway Passenger Flow of Beijing
HAN Xili1,2, LUO Yang1
(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)
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 oneway 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.
韩西丽1,2,罗阳1. 天气因素对北京市地铁客流量的影响[J]. 重庆交通大学学报(自然科学版), 2020, 39(10): 1-4.
HAN Xili1,2, LUO Yang1. Impacts of Weather Factors on Subway Passenger Flow of Beijing. Journal of Chongqing Jiaotong University(Natural Science), 2020, 39(10): 1-4.
[1] 杜恒.天气因素对轨道交通客流的影响[C]//2017年中国城市交通规划年会论文集.上海:中国城市规划学会城市交通规划学术委员会,2017:24102423.
DU Heng. Impact of weather factors on passenger flow of rail transit [C]//Proceedings of Annual National Transportation Planning Conference 2017. Shanghai: Academic Committee of Urban Transport Planning of Urban Planning Society of China, 2017:24102423.
[2] 康朝贵,刘璇,许欣悦,等.天气因素对武汉市出租车出行活动的影响[J].地球信息科学学报,2019,21(1):118127.
KANG Chaogui, LIU Xuan, XU Xinyue, et al.Impact of weather condition on intraurban travel behavior: Evidence from taxi trajectory data[J]. Journal of GeoInformation Science, 2019, 21 (1): 118127.
[3] 周顺.基于运营数据的南京轨道交通线路客流波动与降雨天气的关系研究[D].南京:东南大学,2016:2229.
ZHOU Shun.Study on the Relationship between the Fluctuation of Nanjing Rail Transit Flow and the Rainfall Based on Operational Data [D]. Nanjing: Southeast University, 2016: 2229.
[4] 林子敬.恶劣天气对大连市居民出行方式选择的影响研究[D].大连:大连理工大学,2017:3848.
LIN Zijing.Study on the Impact of Bad Weather on Dalian Residents’ Travel Mode Choice Behavior [D]. Dalian: Dalian University of Technology, 2017: 3848.
[5] KOETSE M J, RIETVELD P. The impact of climate change and weather on transport: An overview of empirical findings [J]. Transportation Research Part D: Transport & Environment, 2009,14(3): 205221.
[6] IPCC. Climate Change 2001: The Scientific Basis [R/OL]. Norway: GRIDArendal,2003[20190612].https://www.grida.no/publications/270.
[7] 聂若鹰.风力等级划分参考表[J].气象水文海洋仪器,2007(1):67.
NIE Ruoying. Wind power classification reference table[J].Meteorological, Hydrological and Marine Instruments,2007(1):67.
[8] 刘海涛,杨洁,叶彩华.全球变暖下1951—2014年北京地区的季节变化[J].中国农学通报,2016,32(27):141148.
LIU Haitao, YANG Jie, YE Caihua.Seasonal variation in Beijing under global warming: 1951—2014 [J]. Chinese Agricultural Science Bulletin, 2016, 32(27):141148.
[9] 丁裕国,江志红.极端气候研究方法导论[M].北京:气象出版社,2009:5455,7980.
DING Yuguo, JIANG Zhihong. Introduction to Extreme Climate Research Methods [M]. Beijing: China Meteorological Press, 2009: 5455, 7980.