Spatial optimization for land acquisition problems: A review of models, solution methods, and GIS support

Murray, Alan T.

doi:10.1111/tgis.12545

Cited by 14 publications

(9 citation statements)

References 162 publications

(197 reference statements)

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“…Land use optimization has been broadly studied in the past decades towards various concerns or objectives [5][6][7][8][9][10][11][12][13][14]. However, there has not been many studies specifically on the livability oriented land use optimization except some general discussions and interpretation on livability from various perspectives of researchers.…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial Multi-Objective Land Use Optimization toward Livability Based on Boundary-Based Genetic Algorithm: A Case Study in Singapore

Cao

Liu

Wang

et al. 2020

IJGI

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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.

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Section: Literature Reviewmentioning

confidence: 99%

Spatial Multi-Objective Land Use Optimization toward Livability Based on Boundary-Based Genetic Algorithm: A Case Study in Singapore

Cao

Liu

Wang

et al. 2020

IJGI

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“…In the Ministry of Land and Resources Ministry which actively promote the cities and municipalities, the integrated management of land resource center text information system is conducive to the information construction of land resources, construction of land resource information system, and information modeling of land resources which can ensure the effectiveness and efficiency of business; in recent years, land resource management did make sufficient progress and achievements, but compared to the internationalization of land resource information, there is still a certain gap in the development of land information management information technology research which is late, the basic information resources are relatively poor, and national resources and land capital are rich, but the real degree of lack of certain management, the government's limited level of management cognition, and lack of certain investment in reform courage as well as boldness, coupled with the relative lack of talent in this area, for the construction of land resource information technology has not do persistent research and accumulation, the lack of construction experience leads to the lag behind the information technology infrastructure; the overall level of information technology is low [14]. These gaps also need to be improved step by step by subsequent research scholars, and a series of problems currently encountered are mainly shown below.…”

Section: Related Workmentioning

confidence: 99%

Optimization of Land Resource Information Management System Based on Internet of Things

Chen

Tian

et al. 2021

Wireless Communications and Mobile Computing

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The business process model of information management is also optimized, while helping the relevant departments using the system to improve their work efficiency. After research and analysis, this paper shows that the land resource information management system can be divided into four functional modules, which are basic land resource information management, land resource land use approval management, official document information management, and office business management, and these modules can effectively complete the work related to land resource management. The full and reasonable use and protection of land resources can ensure the implementation of sustainable development policies, and the development of land resource management is the basic requirement of national modernization and the inevitable trend in the country, and because land resource management covers a large amount of information involving a wide range of information, including information within the scope of work, it is very necessary to ensure the effectiveness and accuracy of land resources and information. The information system can effectively improve the efficiency and accuracy of land resources and information. Information system can effectively improve the development, management, research, and use of land resources; electronic government system can help land resources to obtain accurate analysis and research and detailed access to the ability to understand the status of resources, in the daily changing data information dynamic understanding of the development of information changes, and grasp the latest trends in land resources, the trend of analysis, and monitoring of market resources, to provide customers with reliable decision support. It is a powerful background data guarantee for customers to provide reliable decision support.

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“…a limited budget or lower bounds on environmental effectiveness) and spatial constraints (e.g. BMPs or land uses A and B must not be close to each other, Wu et al, 2018; Xiao and Murray, 2019). Spatial constraints are closely related to the type of BMP configuration unit selected and taking them into consideration is vitally important in ensuring that the optimization problem and its solutions have meaningful geographical interpretations; the solutions need to be reasonable and practical (Cova and Church, 2000; Qin et al, 2018; Yao et al, 2018; Zhu et al, 2019a).…”

Section: Introductionmentioning

confidence: 99%

“…However, taking grid cells as basic BMP configuration units generally means a large number of geographic decision variables; this will render the spatial optimization problem extremely computational-intensive or even unsolvable (Gaddis et al, 2014). Thus, grid cells are only applicable when optimizing one BMP type (Limbrunner et al, 2013; Perez-Pedini et al, 2005) in study areas with a small count of grid cells (Xiao and Murray, 2019).…”

Section: Introductionmentioning

confidence: 99%

Spatial optimization of watershed best management practice scenarios based on boundary-adaptive configuration units

Zhu

Qin

Zhu

2020

Progress in Physical Geography: Earth and Environment

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Spatial optimization of watershed best management practice (BMP) scenarios based on watershed modeling is an effective decision support tool for watershed management. During such optimization, existing types of BMP configuration units for configuring BMPs (or BMP configuration units, e.g. subbasins, hydrologic response units, farms) remain fixed boundaries once they have been created through spatial discretization prior to BMP scenario optimization. This sort of “boundary-fixed” method does not allow for adjustments to the spatial characteristics of BMP configuration units. Hence, it runs the risk of missing superior BMP scenarios that could have been obtained by adjusting unit boundaries and may produce less effective spatial optimization. In this article, we propose a new approach to the spatial optimization of BMP scenarios based on boundary-adaptive configuration units. The proposed optimization approach adopts slope positions (basic landform units along hillslopes inherently related to physical hillslope processes) as BMP configuration units and dynamically adjusts their boundaries by using quantitative information about their spatial gradation (i.e. fuzzy slope positions) during the optimization. A case study conducted in the Youwuzhen watershed in Fujian, China, showed that the proposed optimization approach can significantly enlarge the search space and obtain optimal BMP scenarios with better cost-effectiveness and higher optimization efficiency than with boundary-fixed units. The proposed optimization approach provides a new alternative framework for spatial optimization of BMP scenarios, in which other watershed models, intelligent optimization algorithms, and BMP configuration units available for boundary adjustment can be applied to BMP scenario optimization in a boundary-adaptive manner. This study also exemplifies the potential for transforming qualitative, vague, and empirical geographical knowledge about slope position units related to physical hillslope processes and BMPs into quantitative, explicit, and automated geospatial algorithms for effectively resolving environmental management problems in a more geographically meaningful way.

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Spatial optimization for land acquisition problems: A review of models, solution methods, and GIS support

Cited by 14 publications

References 162 publications

Spatial Multi-Objective Land Use Optimization toward Livability Based on Boundary-Based Genetic Algorithm: A Case Study in Singapore

Spatial Multi-Objective Land Use Optimization toward Livability Based on Boundary-Based Genetic Algorithm: A Case Study in Singapore

Optimization of Land Resource Information Management System Based on Internet of Things

Spatial optimization of watershed best management practice scenarios based on boundary-adaptive configuration units

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