Land Use and Transport Integration Modeling with Immune Genetic Optimization for Urban Transit-Oriented Development

Abstract

This study aims to improve the applicability of transit-oriented development (TOD), which is widely recognized as a sustainable urban land use planning approach, this study will focus on the effect of developed land blocks on undeveloped land blocks around the same metro station. A new multiobjective programming model that optimizes metro ridership, land use compactness, transport accessibility, land functional mixing degree, land use conflict degree, and environment influence will be developed to integrate land use design with transport planning. In addition, an improved immune genetic algorithm (IGA) will be designed to generate land use schemes, which takes into consideration transport impacts and environmental influence. In this study, the land use and transport conditions around a metro station in Beijing will be studied to validate the newly developed multiobjective programming model and the improved IGA. This demonstrated that the proposed multiobjective model and IGA could effectively provide more rational land use and transport integration solutions for TOD.