Abstract
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-sum approach, followed by a boundary-based genetic algorithm adapted to help address the spatial multi-objective land use optimization problem. Furthermore, the model is successfully and effectively applied to the case study in the Central Region of Queenstown Planning Area of Singapore towards livability. In the case study, the experiments based on equal weights and experiments based on different weights combination have been successfully conducted, which can demonstrate the effectiveness of the spatial multi-objective land use optimization model developed in this research as well as the robustness and reliability of computer-generated solutions. In addition, the comparison between the computer-generated solutions and the two real planned scenarios has also clearly demonstrated that our generated solutions are much better in terms of fitness values. Lastly, the limitation and future direction of this research have been discussed.
Highlights
Land use optimization, as one important kind of resource allocation, can be defined as the process of allocating different activities to various geographical units, such as residential land, industrial land, recreational facility, green land, etc
Therein, different objectives will result in different land use allocations and the achievement of multiple objectives simultaneously will result in quite a complicated trade-off process
Both concepts of sustainability and livability have been widely discussed in land use planning and optimization, which is to achieve the ultimate goal of reaching sustainability and improving livability
Summary
As one important kind of resource allocation, can be defined as the process of allocating different activities to various geographical units, such as residential land, industrial land, recreational facility, green land, etc. It is necessary to look for methods in which multiple objectives could be considered effectively and simultaneously, despite its complexity. Both concepts of sustainability and livability have been widely discussed in land use planning and optimization, which is to achieve the ultimate goal of reaching sustainability and improving livability. How to optimize the land use allocation has been discussed in various studies towards long-term sustainability in the past. Besides the idea of long-term sustainability, promoting current livability to create a desirable living environment should be seen as another appealing direction or objective in land use planning and optimization. This research aims to study how livability could quantitatively contribute to the understanding and modelling of spatial multi-objective land use optimization. The experiments results, reflections, conclusions and future research are covered in the remainder of the manuscript
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