Stochastic Transportation Network Design Problem with Spatial Equity Constraint
Stochastic Transportation Network Design Problem with Spatial Equity Constraint
复制标题
DOI：
10.3141/1882-12
复制
发表时间：
2004
影响因子：
1.7
通讯作者：
A. Chen;Chao Yang
中科院分区：
文献类型：
--
作者：
A. Chen;Chao Yang
公平问题和需求不确定性是网络设计问题中的两个重要问题。新发展规划的空间公平性涉及到网络用户之间的利益分配。通过考虑需求的不确定性，可以得到一个更现实的评估网络性能给定的网络改进计划。两个随机模型，同时考虑空间公平性和需求的不确定性制定：期望值模型和机会约束模型。这两个模型都解决了基于模拟的遗传算法程序。用遗传算法求解NDP，用随机模拟方法模拟需求的不确定性。数值实验的结果表明，在NDP的公平问题和需求的不确定性的重要性。
Equity issues and demand uncertainty are two important issues in the network design problem (NDP). Spatial equity in NDP is concerned with the benefit distribution among network users. By considering demand uncertainty, a more realistic evaluation of the network performance given a network improvement plan can be obtained. Two stochastic models that consider both spatial equity and demand uncertainty are formulated: an expected-value model and a chance-constrained model. Both models are solved by a simulation-based genetic algorithm procedure. The genetic algorithm is used to solve NDP, and stochastic simulation is used to simulate the demand uncertainty. The results of numerical experiments are provided to demonstrate the significance of the equity issue and demand uncertainty in NDP.