Land Use and Transport Integration Modeling with Immune Genetic Optimization for Urban Transit-Oriented Development
Publication: Journal of Urban Planning and Development
Volume 147, Issue 1
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.
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Acknowledgments
This study was supported by National Natural Science Foundation of China (Grant No. 71571011) and the Fundamental Research Funds for the Central Universities (Grant No. 2018JBM022).
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Published In
Journal of Urban Planning and Development
Volume 147 • Issue 1 • March 2021
Copyright
© 2020 American Society of Civil Engineers.
History
Received: Jun 30, 2019
Accepted: Sep 30, 2020
Published online: Dec 28, 2020
Published in print: Mar 1, 2021
Discussion open until: May 28, 2021
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