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Passenger Flow Forecasting Technology for Initial Operation of Urban Rail Transit
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Jinhai LI1, 2, Liang DOU3, Meng ZHANG3, Yizhan QIN3, Ying SUN4
Urban Rapid Rail Transit | 2024, 37(1) : 102 - 106
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Urban Rapid Rail Transit | 2024, 37(1): 102-106
Academic Discussion
Passenger Flow Forecasting Technology for Initial Operation of Urban Rail Transit
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Jinhai LI1, 2, Liang DOU3, Meng ZHANG3, Yizhan QIN3, Ying SUN4
Affiliations
  • 1 Beijing Urban Construction Design & Development Group Co., Ltd. Beijing 100037
  • 2 MOT R&D Center of Transport Industry of Comprehensive Emergency Technologies and Equipment of Urban Rail Beijing 100037
  • 3 Zhengzhou Metro Group Co., Ltd. Zhengzhou 450047
  • 4 Beijing Zhongguancun Rail Transit Industry Development Company Beijing 100071
doi: 10.3969/j.issn.1672-6073.2024.01.016
Outline
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Passenger flow forecasting for the initial operation stage of a new rail transit line is fundamental for operational safety assessment and organizational preparation. This study analyzes the characteristics of forecasting work in terms of the forecasting period, research objects, basic modeling data, and forecasting models. The technical difficulties in carrying out such forecasting work are also summarized. Considering the characteristics and difficulties of forecasting, this study introduces a new forecasting framework, and the key procedures in the framework are then explained, including data collection, traffic surveys, analysis of the operational characteristics of urban transport, travel demand forecasting from macroscopic and intermediate perspectives, forecasting evaluation, and sensitivity analysis. Finally, the study also discusses main research points of forecasting work with respect to network passenger flow indices, the impact of a new line on the existing network, and the necessary concerns of essential stations. It is suggested that the forecasting work should focus on the current state of urban systems. Thus, it is essential to collect and understand the current information on urban traffic and the city itself and to analyze shortterm development trends. Because the macroscopic demand analysis models may have lower accuracy, it is also necessary to construct a thematic model for rail transit systems based on urban transport macroscopic demand analysis by conducting traffic surveys. The results of this study can provide references for technical methods and research content of passenger flow forecasting in the initial operation stage.

urban rail transit  /  initial operation  /  passenger flow forecasting  /  new metro line  /  demand forecasting model
Jinhai LI, Liang DOU, Meng ZHANG, Yizhan QIN, Ying SUN. Passenger Flow Forecasting Technology for Initial Operation of Urban Rail Transit[J]. Urban Rapid Rail Transit, 2024 , 37 (1) : 102 -106 . DOI: 10.3969/j.issn.1672-6073.2024.01.016
Year 2024 volume 37 Issue 1
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Article Info
doi: 10.3969/j.issn.1672-6073.2024.01.016
  • Receive Date:2023-07-20
  • Online Date:2025-07-09
Article Data
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History
  • Received:2023-07-20
  • Revised:2023-11-01
Funding
Affiliations
    1 Beijing Urban Construction Design & Development Group Co., Ltd. Beijing 100037
    2 MOT R&D Center of Transport Industry of Comprehensive Emergency Technologies and Equipment of Urban Rail Beijing 100037
    3 Zhengzhou Metro Group Co., Ltd. Zhengzhou 450047
    4 Beijing Zhongguancun Rail Transit Industry Development Company Beijing 100071
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表12种不同金属材料的力学参数

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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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