A multiobjective land development optimization model: the case of New Castle County, Delaware

Taromi, Reza; DuRoss, Michael; Chen, Bintong; Faghri, Ardeshir; Li, Mingxin; DeLiberty, Tracy L.

doi:10.1080/03081060.2014.997450

Cited by 12 publications

(5 citation statements)

References 23 publications

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“…Input-Output Analysis is widely used for the assessment, analysis and modeling of procedures related to land use. Cost-Benefit Analysis is often used for the estimation of investments in the development and improvement of land infrastructure to increase the efficiency of land area usage and to evaluate this efficiency [18,19,20,10,21,22].…”

Section: Resultsmentioning

confidence: 99%

Measuring Land-Use Efficiency in Land Management

Auziņš

Geipele

Stāmure

2013

AMR

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Assessing the land-use measures systematically is an essential procedure in providing sustainable land management practice. Land-use efficiency (LUE) may be measured by using a methodological framework that prescribes the conditions, integrated methods, models, classifications, an indicator system, and sequential evaluation procedures. This paper focuses on development of measuring techniques to assess the LUE on the basis of systems approach and discusses the challenges of measuring LUE according to established methodological framework. The findings of the study show that chosen integrated research methods in distinct variations according to the introduced evaluation framework may be applied for measuring LUE. Systematic evaluation of LUE is necessary to support a decision-making in land-use management and to promote a land use in better and more efficient way.

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Section: Resultsmentioning

confidence: 99%

Measuring Land-Use Efficiency in Land Management

Auziņš

Geipele

Stāmure

2013

AMR

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“…The authors declare no conflict of interest. Application of SA to high dimensional non-linear multi-objective multisite land allocation [39] Improved knowledge-informed GA for multi-objective land use allocation BLI-Heuristic algorithms [29] Modified NSGA-II BLI-Sustainable development [108] Probabilistic-based gradient multi-objective land use optimization BLI-Gradient methods in optimization [50] Validity and accuracy comparison b/n various algorithms in land use allocation (including SA) CRC-What SA it is and its application [49] Application of particle swarm optimization for multi-objective urban land use optimization BLI-Heuristic algorithm [104] Application of an improved artificial immune system for multi-objective land use allocation BLI-Heuristic algorithms [109] Application of hybrid heuristic algorithms to multi-objective land use suitability assessment of the quadratic assignment problem BLI-Heuristic algorithms [110] Multi-objective optimization model to consider transportation, formulated as mixed-integer programing BLI-Integer programing [80] Improved artificial bee colony algorithm to solve spatial problems BLI-Heuristic algorithms [97] Application of GA and game theory to solve land allocation problems BLI-Heuristic algorithms [36] Simulating optimal multi-objective land use Applying multi-agent system and particle swarm [111] Urban growth boundary determination based on a multi-objective land use optimization applying a Pareto-front degradation searching strategy where lands were defined as agents CRC-Application of agent in land use optimization [112] Collaborative optimal allocation of urban land to determine the growth boundary of urban agglomeration BLI-The difficulty of transforming optimal land use structures into spatial layout [113] An agent-based optimization of water allocation (market) wherein farmers were represented as an agricultural agent CRC-Application of agent in land use optimization [114] Linking agent-based modeling with the territorial life cycle assessment in land use planning BLI-Complexity of spatial and temporal dynamics of territorial transformation [115] Optimizing deep underground infrastructure layouts based on a multi-agent system where each DUI is represented by an agent CRC-The SE of multi-agent systems [116] Land use simulation (optimization) using CLUMondo mode BLI-Complexity of quantifying conflicting interests; Use of fractal dimension; Sensitivity of complex landscape patch boundary to human disturbance [117] Use of gray multi-objective optimization and Patch generating land use simulation in land use optimization (hybrid methods) BLI-The relationship of land use structure optimization and sustainable development…”

Section: Conflicts Of Interestmentioning

confidence: 99%

A Land Use Planning Literature Review: Literature Path, Planning Contexts, Optimization Methods, and Bibliometric Methods

Mehari,

Genovese

2023

Land

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Land use planning studies are accumulating in unprecedented quantities, and have created a wide space for an extensive summary, the synthesis of fundamental developments, a sharpening of the focus of future study issues, and the dissemination of concise information among the academic community and the policy making environment. Nonetheless, the publication rate and content coverage of land use planning literature reviews have been relatively low. This study aims to contribute to the field by first assessing the effectiveness of the bibliometric method as a literature study method. It then summarizes the developments in the land use planning literature in general path building process, the planning context, and the development of methods. The study findings highlight that the bibliometric method tends to reward information carriage papers rather than original contributors. More than 85% of the time, published articles are cited for general information rather than their core research contribution, suggesting the incomprehensiveness of the bibliometric method in studying real knowledge development. In terms of the land use planning context, significant gaps are observed, particularly in urban land use, including the detachment of the general goal-oriented objective formulations from basic land use allocation theories and conceptual models. A serious concern also arises that the formulations of certain urban land use optimization objectives appear to contradict the original concept of a sustainable city. To address these gaps, this paper suggests several key research frontiers, including linking the basic land use allocation and utility theories to land use optimization, and a need to shift current urban land use planning/optimization approaches from spatial optimization, which changes land uses to meet flow resources, towards optimizing the flow of resources to fit the resilient nature of existing spatial configurations and physical establishments in the built environment. Additionally, evaluating the existing built environment for optimality should be prioritized rather than solely focusing on new developments. In terms of method development, the study suggests that advancing current loosely coupled methods into more integrated systems may be a promising frontier. In general, the paper strongly suggests the possible reiteration of the land use planning study landscape to make sustainable development discourse more concrete and to make the method development stage involve more integrated systems. Immediate research interventions may be the standardizing of land use planning studies through the development of protocols and standard benchmark problems.

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“…Land-use change models are the key to spatio-temporal simulation, which can be divided into two categories, non-spatial models and spatial models. Non-spatial models were developed earlier, such as the SAhelian Land-Use model (SALU) [35], linear programming model [36,37], system dynamics model [38,39] and Markov chain model [40]. These models consider only quantity changes and do not measure location changes.…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Simulation of Mangrove Forests under Different Scenarios: A Case Study of Mangrove Protected Areas, Hainan Island, China

2021

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Mangrove forests are important woody plant communities that grow in the intertidal zone between land and sea. They provide important social, ecological and economic services to coastal areas. In recent years, the growth environment of mangrove forests has been threatened. Mangrove forests have become one of the most endangered ecosystems in the world. To better protect mangrove forests, effective monitoring methods are essential. In this study, a spatio-temporal simulation method for mangrove forests was proposed in the mangrove protected areas of Hainan Island, China. This method compared the simulation accuracy of different models in terms of spatial characteristics, evaluated the applicability of driving factors in mangrove simulation and predicted the future spatio-temporal distribution and change trends of mangrove forests under different scenarios. The simulation results of different models showed that AutoRF (random forest with spatial autocorrelation) performs best in spatial characteristic simulation. Driving factors such as the Enhanced Vegetation Index (EVI), various location indices and the spatial autocorrelation factor can significantly improve the accuracy of mangrove simulations. The prediction results for Hainan Island showed that the mangrove area increased slowly under a natural growth scenario (NGS), decreased significantly under an economic development scenario (EDS) and increased significantly under a mangrove protection scenario (MPS) with 4460, 2704 and 5456 ha respectively by 2037. The contraction of mangrove forests is closely related to the expansion of aquaculture ponds, building land and cultivated land. Mangrove contraction is more severe in marginal or fragmented areas. The expansion of mangrove forests is due to the contraction of aquaculture ponds, cultivated land and other forests. The areas around existing mangrove forests and on both sides of the riverbank are typical areas prone to mangrove expansion. The MPS should be the most suitable development direction for the future, as it can reasonably balance economic development with mangrove protection.

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A multiobjective land development optimization model: the case of New Castle County, Delaware

Cited by 12 publications

References 23 publications

Measuring Land-Use Efficiency in Land Management

Measuring Land-Use Efficiency in Land Management

A Land Use Planning Literature Review: Literature Path, Planning Contexts, Optimization Methods, and Bibliometric Methods

Spatio-Temporal Simulation of Mangrove Forests under Different Scenarios: A Case Study of Mangrove Protected Areas, Hainan Island, China

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