Highlights The respondents tend to choose subway and cars under extreme weather. Weather variables show almost negligible effects on subway ridership at weekdays. Monthly temperature variation shows stronger effect than daily variation on subway. A nonlinear relationship exists between temperature and subway ridership on weekends.

    Abstract Understanding the impact of weather on travel behavior provides insight into building a reliable and resilient transport system. This study uses a survey on residents and subway ridership data from 2014 to 2018 in Beijing to explore the relationship between weather and travel behavior. The results indicate that extreme weather events can affect recreational travel greatly, reduce travel demand, and change travel modes as well. The respondents are inclined to choose subway or cars rather than buses and bicycles under inclement weather days. The analysis of subway ridership confirms that weekends’ trips are more sensitive to weather conditions. Monthly temperature change shows a bigger effect on ridership than daily temperature change. A one-degree increase in effective temperature increases ridership by about 0.5% on weekends, while heavy rain reduces ridership by about 8%. Wind speed and air pollution show significantly negative but small effects on ridership on weekends. Besides, there is a non-linear relationship between temperature and ridership on weekends. These findings suggest that subway is less vulnerable to inclement weather and can be complementary to other travel modes. However, prevention measures are necessary for the subway system to face threats from heavy rain.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Weather, travel mode choice, and impacts on subway ridership in Beijing


    Contributors:
    Wu, Jingwen (author) / Liao, Hua (author)


    Publication date :

    2020-03-17


    Size :

    16 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English






    Impacts of Bike Sharing Program on Subway Ridership in New York City

    Ashraf, Md Tanvir / Hossen, Md Amdad / Dey, Kakan et al. | Transportation Research Record | 2021


    Temporal Distribution Analysis of Beijing’s Subway Ridership

    Liu, Jianfeng / Ma, Xiaolei / Liu, Congcong et al. | ASCE | 2016


    School travel mode choice in Beijing, China

    Zhang, Rui / Yao, Enjian / Liu, Zhili | Elsevier | 2017