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

机译：天气，旅行模式选择，以及对北京地铁骑运的影响

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摘要

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.
机译：了解天气对旅行行为的影响提供了建立可靠和有弹性的运输系统的洞察力。本研究对北京2014年至2018年居民和地铁乘客数据进行了调查，探讨了天气和旅行行为之间的关系。结果表明，极端天气事件可能会大大影响娱乐旅行，降低旅行需求，以及改变旅行模式。受访者倾向于选择地铁或汽车而不是在恶劣天气日下的公共汽车和自行车。地铁乘客分析确认，周末的旅行对天气状况更敏感。每月温度变化显示比日常温度变化更大的乘积。有效温度的一级增加在周末增加了约0.5％的乘积，而大雨减少了乘客约8％。风速和空气污染表现出显着负面，但周末对乘客的小效果。此外，周末在温度和乘客之间存在非线性关系。这些研究结果表明，地铁更容易受到恶劣天气的影响，并且可以与其他旅行模式互补。然而，地铁系统需要预防措施面临严重雨的威胁。

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  • 来源
    《Transportation Research》 |2020年第5期|264-279|共16页
  • 作者

    Wu Jingwen; Liao Hua;

  • 作者单位

    Beijing Inst Technol Sch Management & Econ Beijing 100081 Peoples R China|Beijing Inst Technol Ctr Energy & Environm Policy Res Beijing 100081 Peoples R China|Collaborat Innovat Ctr Elect Vehicles Beijing Beijing 100081 Peoples R China|Sustainable Dev Res Inst Econ & Soc Beijing Beijing 100081 Peoples R China|Training & Practice Base Innovat Energy Talents Beijing 100081 Peoples R China|Univ Toronto Dept Civil & Mineral Engn Toronto ON M5S 1A4 Canada;

    Beijing Inst Technol Sch Management & Econ Beijing 100081 Peoples R China|Beijing Inst Technol Ctr Energy & Environm Policy Res Beijing 100081 Peoples R China|Collaborat Innovat Ctr Elect Vehicles Beijing Beijing 100081 Peoples R China|Sustainable Dev Res Inst Econ & Soc Beijing Beijing 100081 Peoples R China|Training & Practice Base Innovat Energy Talents Beijing 100081 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Weather; Travel mode choice; Subway ridership; Non-linear relationship;

    机译：天气;旅行模式选择;地铁乘客;非线性关系;

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