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To investigate the internal connection and influence mechanism between passenger crowding perception and travel choice in urban rail transit systems, this paper designed a questionnaire combining stated preference survey and revealed preference survey, and selected Nanchang Metro Line 1 for data collection. Using the Binary Logit model (BiL) and SHapley Additive exPlanations (SHAP) to analyze the influence of different factors on travel choice. The results show that waiting location selection and passenger occupation are two key characteristics that have a significant impact on travel choice. Travel demand significantly impacts crowding tolerance, the decision logic of passengers with different attributes is obviously different in crowded scenarios. The results can construct the correlation analysis framework between passenger crowding perception and travel choice, and provide accurate passenger behavior portrait basis for urban rail transit operators.

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Passenger Crowding Perception and Travel Choice on Urban Rail Transit Platform

  • 会议论文

  • 发表日期：

    2026年

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  • Xupei Qiu,
  • Jiannan Mao,
  • Zhen Di,
  • Jungang Shi,
  • Yonglin Leng,
  • Jiao Jiao,
  • Min Fu

摘要

To investigate the internal connection and influence mechanism between passenger crowding perception and travel choice in urban rail transit systems, this paper designed a questionnaire combining stated preference survey and revealed preference survey, and selected Nanchang Metro Line 1 for data collection. Using the Binary Logit model (BiL) and SHapley Additive exPlanations (SHAP) to analyze the influence of different factors on travel choice. The results show that waiting location selection and passenger occupation are two key characteristics that have a significant impact on travel choice. Travel demand significantly impacts crowding tolerance, the decision logic of passengers with different attributes is obviously different in crowded scenarios. The results can construct the correlation analysis framework between passenger crowding perception and travel choice, and provide accurate passenger behavior portrait basis for urban rail transit operators.