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.
Stochastic Transportation Network Design Problem with Spatial Equity Constraint
Transportation Research Record: Journal of the Transportation Research Board
Transportation Research Record: Journal of the Transportation Research Board ; 1882 , 1 ; 97-104
2004-01-01
Article (Journal)
Electronic Resource
English
Stochastic Transportation Network Design Problem with Spatial Equity Constraint
Online Contents | 2004
|Implications of link-based equity objectives on transportation network design problem
Online Contents | 2018
|Implications of link-based equity objectives on transportation network design problem
Online Contents | 2018
|Multiclass Network Toll Design Problem with Social and Spatial Equity Constraints
British Library Online Contents | 2002
|Multiclass Network Toll Design Problem with Social and Spatial Equity Constraints
Online Contents | 2002
|