Spatial multi-objective land use optimization toward livability based on boundary-based genetic algorithm: A case study in Singapore

• Main Authors: CAO, Kai, LIU, Muyang, WANG, Shu, LIU, Mengqi, ZHANG, Wenting, MENG, Qiang, HUANG, Bo
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Accessibility; Boundary-based genetic algorithm; Livability; Singapore; Smart planning; Spatial multi-objective land use optimization; Asian Studies; Geographic Information Sciences; Theory and Algorithms; Urban Studies and Planning
• Online Access: https://ink.library.smu.edu.sg/sis_research/5119; https://ink.library.smu.edu.sg/context/sis_research/article/6122/viewcontent/Spatial_Multi_Objective_Land_Use_Optimization_towa.pdf
• Institution: Singapore Management University

In this research, the concept of livability has been quantitatively and comprehensively reviewed and interpreted to contribute to spatial multi-objective land use optimization modelling. In addition, a multi-objective land use optimization model was constructed using goal programming and a weighted-...