Multi-Objective Land Use Allocation Optimization in View of Overlapped Influences of Rail Transit Stations

Taking into consideration the overlapped influences of multiple rail transit stations upon land use characteristics, this study newly develops a multi-objective land use allocation optimization model to decide the land use type and intensity of every undeveloped land block of an urban area. The new...

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Bibliographic Details
Published in:Sustainability 2021-12, Vol.13 (23), p.13219
Main Authors: Feng, Xuesong, Tao, Zhibin, Niu, Xuejun, Ruan, Zejing
Format: Article
Language:English
Subjects:
Decision making
Environmental economics
Environmental protection
Genetic algorithms
Land development
Land use
Mathematical programming
Multiple objective analysis
Objectives
Optimization
Public transportation
Sorting algorithms
Subway stations
Sustainable development
Urban areas
Urban development
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Summary:Taking into consideration the overlapped influences of multiple rail transit stations upon land use characteristics, this study newly develops a multi-objective land use allocation optimization model to decide the land use type and intensity of every undeveloped land block of an urban area. The new model is solved by successively utilizing the non-dominated sorting genetic algorithm and the technique for order performance by similarity to ideal solution to obtain the least biased Pareto-optimal land development scheme. The study area is an urban region around two metro stations in Beijing of China. The influencing scopes of these two stations are overlapped in part, and many of the land blocks in the study area are not yet developed. It is shown that the newly developed land use allocation optimization model is able to rationally achieve multi-objectives in coordination to the most extents for the sustainable urban development in view of the integrated effect of multiple rail transit stations.
ISSN:2071-1050
2071-1050
DOI:10.3390/su132313219