Bilevel Mixed Land Use–Transportation Model Based on Urban Road Network Balance
Publication: Journal of Urban Planning and Development
Volume 147, Issue 4
Abstract
The aim of this work is to investigate the interaction between mixed land use patterns and urban road structures based on the balance theory of complex networks. An approach for extracting a signed network from a weighted road network is proposed, and a walk-based balance index for urban road networks is developed. A probability matrix is adopted for the conversion between various land use types. Then a bi-level integrated mixed land-use transportation (IML–T) model is established, where the balance index is used as a parameter to correct the degree of mixed use. The upper-level is a multi-objective problem that considers total travel time, wider economic benefits, and a balanced internal capture rate, while the lower level involves the problem of user equilibrium (UE). The proposed method was validated through a sample network and the application to Handan City in China. The results indicate that the structure of the road network can be accurately measured by using a balance index. The local traffic property can be improved by choosing a mixed-use pattern given by the IML–T model. Moreover, the IML–T model is more efficient than traditional network design models at reducing the congestion caused by the distribution of the aggregated population.
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Acknowledgments
The work described in this paper was supported by the National Natural Science Foundation of China (50478088), the Natural Science Foundation of Hebei Province in China (E2021202020), and the Science and Technology Project of Hebei Education Department in China (ZD2021028). The authors would gratefully acknowledge the editor’s comments and the referees of the paper who helped to clarify and improve the presentation.
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Journal of Urban Planning and Development
Volume 147 • Issue 4 • December 2021
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© 2021 American Society of Civil Engineers.
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Received: Dec 1, 2020
Accepted: Apr 5, 2021
Published online: Jul 20, 2021
Published in print: Dec 1, 2021
Discussion open until: Dec 20, 2021
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