| Author Name | Affiliation | | Xin Sun | Nanjing Institute of City & Transport Planning Co., Ltd., Nanjing 210008, China | | Shuyan Chen | Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing 210008, China | | Yongfeng Ma | Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing 210008, China |
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| Abstract: |
| The urban transit fare structure and level can largely affect passengers’ travel behavior and route choices. The commonly used transit fare policies in the present transit network would lead to the unbalanced transit assignment and improper transit resources distribution. In order to distribute transit passenger flow evenly and efficiently, this paper introduces a new distance-based fare pattern with Euclidean distance. A bi-level programming model is developed for determining the optimal distance-based fare pattern, with the path-based stochastic transit assignment (STA) problem with elastic demand being proposed at the lower level. The upper-level intends to address a principal-agent game between transport authorities and transit enterprises pursing maximization of social welfare and financial interest, respectively. A genetic algorithm (GA) is implemented to solve the bi-level model, which is verified by a numerical example to illustrate that the proposed nonlinear distance-based fare pattern presents a better financial performance and distribution effect than other fare structures. |
| Key words: bi-level programming model principal-agent game nonlinear distance-based fare path-based stochastic transit assignment |
| DOI：10.11916/j.issn.1005-9113.21032 |
| Clc Number:U491.17 |
| Fund: |
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| Descriptions in Chinese: |
| 利用双层规划模型求解基于委托代理机制条件下的非线性公交距离最优收费策略 孙鑫1, 陈淑燕2, 马永锋2 (1. 南京市城市与交通规划设计研究院股份有限公司，南京210008； 2. 东南大学交通学院，城市智能交通江苏省重点实验室，现代城市交通技术江苏高校协同创新中心，南京 210008) 中文说明：城市公交票价结构和水平对人们出行习惯和路径选择有着重要影响。现各城市常用的公交收费政策存在着公交客流分配不平衡和公交资源配置不合理的情况，为了更加均衡有效地分配公交客流，本文通过引入欧式距离概念提出一种新的基于距离收费模式。为求解该收费模式的最优解，本文构建了双层规划模型，其中上层模型引入了委托代理机制寻求公交企业利润最大化，下层模型为弹性需求下的基于路径的Logit客流分配模型。最后通过采用遗传算法求解上述双层规划模型，并经算例证明，相比较其它收费模式，本文提出的新型非线性公交距离收费策略能够更好地表现出经济效益和分配结果。 关键词：双层规划模型；委托代理机制；非线性距离收费；基于路径随机客流分配模型 |
