Urban public transit network optimization with flexible demand
Urban public transit network optimization with flexible demand
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DOI：
10.1007/s00291-014-0377-4
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发表时间：
2015-01-01
期刊：
影响因子：
2.7
通讯作者：
Haase, Knut
中科院分区：
文献类型：
--
作者：
Klier, Michael J.;Haase, Knut
引入了一种新的优化方法来设计公共交通网络。本文的主要创新点在于公共交通的需求是内生的。我们在预算限制下最大限度地提高预期公共交通乘客总数。需求取决于已建立的路线及其频率。应用二元 Logit 模型来模拟潜在客户的行为，其中公共交通的预期效用取决于车内时间、等待时间和访问时间。预计等待时间取决于公交线路的班次。该方法已在德国德累斯顿市进行了测试。计算实验表明该方法适用于现实世界的情况。
A new optimization approach is introduced for designing a public transit network. The main innovation of this paper is that the demand for public transit is endogenous. We maximize the total number of expected public transit passengers subject to a budget constraint. The demand depends on the established routes and their frequencies. A binary logit model is applied to simulate the behavior of the potential customers where the expected utility for public transit depends on in-vehicle time, waiting time, and access time. The expected waiting time depends on the frequency of the transit routes. The approach has been tested for the City of Dresden in Germany. The computational experiments show that the approach is applicable to real-world situations.