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    Holiday Passenger Flow Forecasting Based on the Modified Least-Square Support Vector Machine for the Metro System 

    Source: Journal of Transportation Engineering, Part A: Systems:;2017:;Volume ( 143 ):;issue: 002
    Author(s): Shasha Liu; Enjian Yao
    Publisher: American Society of Civil Engineers
    Abstract: Holiday passenger flow forecasting is essential to transportation plan-making and passenger flow organization in metro systems during holidays. Usually, daily passenger flow characteristics show a great difference between ...
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    Passenger Travel Behavior Analysis under Unplanned Metro Service Disruption: Using Stated Preference Data in Guangzhou, China 

    Source: Journal of Transportation Engineering, Part A: Systems:;2020:;Volume ( 146 ):;issue: 002
    Author(s): Binbin Li; Enjian Yao; Toshiyuki Yamamoto; Ning Huan; Shasha Liu
    Publisher: ASCE
    Abstract: Passengers may change their original travel plans when unplanned metro service disruption occurs, which causes excessive crowding and endangers the safety of passengers. However, it’s not clear about the mechanism of ...
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    Prediction of Urban Rail Transit Ridership under Rainfall Weather Conditions 

    Source: Journal of Transportation Engineering, Part A: Systems:;2020:;Volume ( 146 ):;issue: 007
    Author(s): Fei Xue; Enjian Yao; Ning Huan; Binbin Li; Shasha Liu
    Publisher: ASCE
    Abstract: Existing studies show that rainfall has a significant impact on bus ridership, and few studies exist on the impact of rainfall on urban rail transit (URT) ridership. Based on the daily and hourly URT ridership and rainfall ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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