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基于旅客出行需求的同城机场群航班协同规划方法

刘志硕 林思萌 李艳华

北京交通大学学报2025,Vol.49Issue(1):148-157,10.
北京交通大学学报2025,Vol.49Issue(1):148-157,10.DOI:10.11860/j.issn.1673-0291.20240008

基于旅客出行需求的同城机场群航班协同规划方法

Flight collaborative planning method for metropolitan multi-airport systems based on passenger travel demand

刘志硕 1林思萌 2李艳华2

作者信息

  • 1. 北京交通大学 交通运输学院,北京 100044||北京交通大学 综合交通运输理论交通运输行业重点实验室,北京 100044
  • 2. 北京交通大学 交通运输学院,北京 100044
  • 折叠

摘要

Abstract

To promote the coordinated development of metropolitan multi-airport systems and enhance passenger travel experiences,this study investigates the problem of flight coordinative planning based on passenger travel demand.First,considering factors including the geographical distribution of pas-sengers,their preferred travel time,and airport capacity at different periods,an optimization model is developed to determine flight routes and frequencies across the airport system.The objective is to mini-mize passengers'ground transportation costs,the deviation from their preferred departure time,and airfare differences.Second,a mathematical programming model is developed,and a variable neighbor-hood search algorithm incorporating nine problem-specific neighborhood structures is designed.Fi-nally,the proposed method is validated using flight planning cases involving Beijing's dual-airport system(PEK and PKX)and routes connecting Chongqing Jiangbei,Yuncheng Yanhu,and Foshan Shadi airports.Results indicate that when average ticket prices are identical at both Beijing airports,PKX is allocated significantly fewer flights than PEK.However,when PKX's average ticket price is reduced by 6%compared to PEK,the arrival and departure flight volumes between the two air-ports become balanced.Under the fare consistency strategy,71%of departing passengers and 62%of arriving passengers can choose their preferred airport,while 58.77%of passengers experience travel time deviations within two hours.Although the 6%fare reduction strategy slightly lowers the satisfaction rate of passenger preferences,it attracts more travelers to non-preferred time slots and airports,further balancing passenger flow and flight density.This approach aligns with the dual-hub positioning of Beijing's two major international airports and contributes to the efficient operation of the overall aviation network.

关键词

航空运输/同城机场群/航班协同规划/旅客出行需求/变邻域搜索算法

Key words

air transportation/metropolitan multi-airport system/flight collaborative plan/passenger travel demand/variable neighborhood search

分类

交通工程

引用本文复制引用

刘志硕,林思萌,李艳华..基于旅客出行需求的同城机场群航班协同规划方法[J].北京交通大学学报,2025,49(1):148-157,10.

基金项目

国家自然科学基金(U2333206) (U2333206)

研究生教改项目(YJSSQ20230327) National Natural Science Foundation of China(U2333206) (YJSSQ20230327)

Graduate Education and Teaching Reform Project(YJSSQ20230327) (YJSSQ20230327)

北京交通大学学报

OA北大核心

1673-0291

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