The Impact of Weather Conditions on Urban Bus Ridership

H. Yu, Hui Xu
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Abstract

The existing literatures on the impact of weather on urban bus ridership have concentrated on the aggregate bus ridership. However, the differences in bus users’ features make the impact different and little research concerns on this. This paper aims to examine the various impacts of weather on the bus ridership divided by bus users’ feature in order to fill this gap. We get hourly urban bus ridership from Harbin, China for January to June 2014 by collecting Harbin smart card data. And use multiple linear regression model to analyze the influence of weather on bus ridership which varies based on bus users’ age (student, adult, the elderly), weekends and weekdays, peak and off-peak, frequent and occasional, regular and irregular. Results show that the elderly are more greatly affected by the weather compared with adults, and students are barely affected. Bus users traveling on weekday or in off-peak hour are prone to change the way of travel because of the weather’s impact. Regular bus users are less affected by the weather. The results provide an approximate way to forecast the bus ridership which can help the bus agencies to provide better bus service.
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天气状况对城市公交客流量的影响
现有研究天气对城市公交客流量影响的文献主要集中在公交客流量总量上。然而,由于公交用户特征的不同,影响也不尽相同,研究较少。本文旨在研究天气对公交客流量的各种影响,并按公交用户的特征进行划分,以填补这一空白。通过收集哈尔滨智能卡数据,我们得到了2014年1月至6月中国哈尔滨每小时的城市公交客流量。并利用多元线性回归模型分析了天气对公交客流量的影响,公交客流量根据公交用户的年龄(学生、成人、老年人)、周末与工作日、高峰与非高峰、频繁与不频繁、规律与不规律而变化。结果表明,与成年人相比,老年人受天气的影响更大,而学生几乎没有受到影响。由于天气的影响,平日或非高峰时段出行的公交用户很容易改变出行方式。经常乘坐公交车的人受天气影响较小。研究结果为公交客流量预测提供了一种近似的方法,可以帮助公交机构提供更好的公交服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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