Multi-Objective Land Use Allocation Optimization in View of Overlapped Influences of Rail Transit Stations
Xuesong Feng,
Zhibin Tao,
Xuejun Niu and
Zejing Ruan
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Xuesong Feng: School of Traffic and Transportation, Beijing Jiaotong University, No.3 Shangyuancun, Haidian District, Beijing 100044, China
Zhibin Tao: School of Traffic and Transportation, Beijing Jiaotong University, No.3 Shangyuancun, Haidian District, Beijing 100044, China
Xuejun Niu: School of Transportation Management & Engineering, People’s Public Security University of China, No.1 Muxidinanli, Xicheng District, Beijing 100038, China
Zejing Ruan: School of Traffic and Transportation, Beijing Jiaotong University, No.3 Shangyuancun, Haidian District, Beijing 100044, China
Sustainability, 2021, vol. 13, issue 23, 1-14
Abstract:
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.
Keywords: land use allocation design; multi-objective optimization modeling; multiple rail transit stations; non-dominated sorting genetic algorithm; Pareto-optimal solution set; the least biased solution (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)
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