Abstract
Abstract Although there is a broad consensus that integrating land use and transport will facilitate sustainable development, land use element is barely considered in network design problem. This paper proposes accessibility to quantitatively describe transport characteristics of a location. With assumptions about the relationship between land use/land cover types and accessibility, this paper introduces a bi-level programming model for land use oriented discrete network design problem (DNDP) and develops a genetic algorithm (GA)-based solution procedure which incorporates Frank-Wolf algorithm for user equilibrium (UE) assignment and Dijkstra algorithm for accessibility measurement. A numerical example is provided to demonstrate the applicability of the model and algorithm. The results indicate that the accessibility of the target traffic zone is improved to meet the demands of commercial areas.
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