Chapter
Aug 12, 2020
Research on Passenger Demand Prediction for Airport Express
Authors: Xiang-Nan Li, Jie Xiong [email protected], Yan-Yan Chen, Qiang Li, and Chen-Yu BaiAuthor Affiliations
Publication: CICTP 2020
ABSTRACT
Due to high speed and large capacity, airport express is a main transportation mode for airports located away from downtown. This study analyzes the influence factors of airport express passenger demand. Considering the impact of the urban rail on the passenger demand of the airport express, this study constructed the BP neural network model based on GA for prediction under specific routes, taking ground bus connection time, transfer times, travel time, travel cost, and public transportation accessibility as input variables and airport express passenger demand production rate as output variables. Finally, this study takes the Beijing Capital International Airport as an example to verify the model and analyze the importance of the influence factors using IC card data and cell phone data. The model can be used to guide the route optimization of airport fast track and analyze the passenger flow coverage of airport fast track.
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© 2020 American Society of Civil Engineers.
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Published online: Aug 12, 2020
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Xiang-Nan Li
1China Airport Planning and Design Institute Company, 111 Beisihuan East Rd., P.O. Box 100010, Chaoyang District, Beijing, China.
2Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing 100124, China. Email: [email protected]
Yan-Yan Chen
3Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing 100124, China.
Qiang Li
4China Airport Planning and Design Institute Company, 111 Beisihuan East Rd., P.O. Box 100010, Chaoyang District, Beijing, China.
Chen-Yu Bai
5Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing 100124, China.
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.