考虑乘客出行特性的城轨与市域铁路贯通运营开行方案研究

doi:10.16097/j.cnki.1009-6744.2025.06.012

交通运输系统工程与信息 ›› 2025, Vol. 25 ›› Issue (6): 129-142.DOI: 10.16097/j.cnki.1009-6744.2025.06.012

考虑乘客出行特性的城轨与市域铁路贯通运营开行方案研究

朱昌锋^*，高硕悦，王傑，符云琪，成琳娜，匡荣杰

兰州交通大学，交通运输学院，兰州730070

收稿日期:2025-08-05 修回日期:2025-09-01 接受日期:2025-09-04 出版日期:2025-12-25 发布日期:2025-12-24
作者简介:朱昌锋(1972—)，男，甘肃秦安人，教授，博士。
基金资助:
国家自然科学基金(72161024)；甘肃省教育厅“双一流”重大研究项目(GSSYLXM-04)。

Optimization of Train Operation Plans for Through Operation Between Urban Rail and Regional Railways

ZHU Changfeng^*, GAO Shuoyue, WANG Jie, FU Yunqi, CHENG Linna, KUANG Rongjie

School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China

Received:2025-08-05 Revised:2025-09-01 Accepted:2025-09-04 Online:2025-12-25 Published:2025-12-24
Supported by:
National Natural Science Foundation of China (72161024)；"Double First-Class" Major Research Project of Gansu Provincial Department of Education (GSSYLXM-04)。

摘要/Abstract

摘要： 为优化城轨与市域铁路贯通运营开行方案，解决传统换乘模式在高峰时段难以满足跨线客流需求的问题，构建基于心理账户理论与Logit模型的乘客出行选择行为模型，刻画乘客在时间和费用等多属性因素影响下的出行选择行为机理，建立以开行频率和折返站位置为决策变量，以乘客出行时间最小与企业运营成本最少为目标的贯通运营开行方案优化模型，设计基于对立学习-Arnold混沌映射的多目标粒子群优化求解算法。研究结果表明，相较于换乘衔接模式，贯通运营模式下，乘客总出行时间与企业运营成本分别降低22.60%与17.44%。进一步分析可知，乘客出行选择行为呈现时间价值偏好特性，高时间价值客流对直达服务敏感性较高，跨线刚性客流占比是决定贯通列车开行频率的关键因素，贯通列车发车频率与跨线刚性客流占比呈正相关，但当贯通列车发车频率超过7对·h^-1后，跨线刚性客流占比表现出边际效益递减规律。本文可为城轨与市域铁路贯通运营提供一定的理论支撑。

关键词: 城市交通, 贯通运营, 混沌粒子群算法, 列车开行方案, 有限理性

Abstract: This paper focus on optimizing the operation plan for the through operation of urban rail transit and regional railways to address the issue that the traditional transfer mode is difficult to meet the demand of cross-line passenger flow during peak hours. A passenger travel choice behavior model based on mental account theory and Logit model is proposed to describe the travel choice behavior of passengers under the influence of multiple attribute factors such as time and cost. An optimization model for the through operation plan is developed with the decision variables of operation frequency and location of the return station, and the goals of minimizing passengers travel time and enterprises operating cost. A multi-objective particle swarm optimization solution algorithm is design based on oppositional learning-Arnold chaotic mapping. The results indicate that compared with the transfer connection mode, the total travel time of passengers and the operating costs of enterprises under the through operation mode are reduced by 22.60% and 17.44% respectively. Further analysis reveals that passengers' travel choice behavior exhibits the characteristic of time value preference. High time value passenger flow is highly sensitive to direct services. Additionally, the proportion of rigid cross-line passenger flow is a key factor determining the operating frequency of through trains. The departure frequency of through trains is positively correlated with the proportion of rigid cross-line passenger flow. However, when the departure frequency of through trains exceeds seven pairs per hour, The proportion of rigid cross-line passenger flow shows the law of diminishing marginal benefits. This study provides theoretical support for the integrated operation of urban rail transit and regional railways.

Key words: urban traffic, through operation, Chaotic particle swarm optimization algorithm, operation plan, bounded rationality

中图分类号:

U121

朱昌锋, 高硕悦, 王傑, 符云琪, 成琳娜, 匡荣杰. 考虑乘客出行特性的城轨与市域铁路贯通运营开行方案研究[J]. 交通运输系统工程与信息, 2025, 25(6): 129-142.

ZHU Changfeng, GAO Shuoyue, WANG Jie, FU Yunqi, CHENG Linna, KUANG Rongjie. Optimization of Train Operation Plans for Through Operation Between Urban Rail and Regional Railways[J]. Journal of Transportation Systems Engineering and Information Technology, 2025, 25(6): 129-142.

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http://www.tseit.org.cn/CN/Y2025/V25/I6/129

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考虑乘客出行特性的城轨与市域铁路贯通运营开行方案研究

Optimization of Train Operation Plans for Through Operation Between Urban Rail and Regional Railways

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