An Accessibility-Oriented Optimal Control Method for Land-Use Development
Publication: Journal of Urban Planning and Development
Volume 145, Issue 4
Abstract
The performance of transport systems is seldom considered when designing land-use development planning, which could result in a deteriorated transport system. One of the major goals of a transport system is to improve individuals’ accessibility or the ease of reaching desired activities, destinations, and services. For urban smart growth, policymakers usually face a challenge of how to coordinate land-use development in multiple urban centers in order to optimize accessibility. This paper aims to provide an optimal land-use development method in terms of system accessibility. A novel bilevel model system is proposed to represent the problem where the upper level aims to optimize transport system performance in terms of accessibility, and the lower level is a four-step model with feedback to achieve transport system equilibrium. A multinomial logit model is used for destination choice, which can adequately capture traveler decision behaviors compared with the gravity-analogous model. To find the optimal solution of the proposed bilevel model, an efficient algorithm is proposed on the basis of a Dirichlet distribution, method of successive averages (MSA), Frank-Wolfe algorithm, and Dijkstra algorithm. An experimental study using the Nguyen-Dupuis network is presented to verify the effectiveness of the proposed model and solution algorithm. The research demonstrates that the optimal control of land-use development is critical to network accessibility, and the modeling framework can be a useful tool in determining urban development policies.
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Acknowledgments
The author is grateful to the anonymous reviewers for their constructive suggestions that improved this paper significantly. This research is funded by National Natural Science Foundation of China (No. 11771078) and the Fundamental Research Funds for the Central Universities.
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Published In
Journal of Urban Planning and Development
Volume 145 • Issue 4 • December 2019
Copyright
©2019 American Society of Civil Engineers.
History
Received: Aug 10, 2018
Accepted: Feb 20, 2019
Published online: Jul 30, 2019
Published in print: Dec 1, 2019
Discussion open until: Dec 30, 2019
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