• Title/Summary/Keyword: 패널 겉보기 무관 회귀모형

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Influence of Weather and Atmospheric Conditions on Public Transportation Ridership: Using Panel Seemingly Unrelated Regression Model (기상 및 대기환경에 의한 대중교통 이용변화: Panel-SUR 모형을 활용하여)

  • Jahun Koo;Sujae Kim;Hyungkyoo Kim;Sangho Choo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.23 no.5
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    • pp.47-61
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    • 2024
  • Public transportation require access trips to the stops, which are significantly affected by external environmental factors. This study examined the changes in public transportation usage based on these characteristics in relation to external environments. The analysis focuses on the 25 administrative districts of Seoul, using data on public transportation usage, weather, and air quality from 2023. The analysis used a Panel-SUR model, showing that deteriorating weather and air quality reduce public transportation usage. The impact of the variables was greater on weekends than on weekdays, likely because non-essential trips, which mainly occur on weekends, can be influenced by external environmental conditions when choosing whether to travel. The air quality-related variables have a smaller impact on subways than buses, likely because bus stops are more exposed to external environments.