GIS-Based Multi-Objective Urban Land Allocation Approach for Optimal Allocation of Urban Land Uses

2022 ◽  
Author(s):  
Sarika Bodhankar ◽  
Kshama Gupta ◽  
Pramod Kumar ◽  
S. K. Srivastav
Keyword(s):  
Optimal Allocation ◽  
Urban Land ◽  
Land Allocation ◽  
Land Uses ◽  
Multi Objective ◽  
Allocation Approach

The Multi-Objective Space Optimal Allocation of Urban Land Based on Spatial Genetic Algorithm

2018 ◽  
Vol 43 (1) ◽  
pp. 21-25 ◽  
Author(s):  
Xinhua Zhu
Keyword(s):  
Genetic Algorithm ◽  
Land Use ◽  
Land Use Planning ◽  
Optimization Design ◽  
Optimal Allocation ◽  
Urban Land ◽  
Urban Land Use ◽  
Multi Objective ◽  
Planning And Design ◽  
Objective Space

With the constant increasing scale of urban buildings, the contradiction between supply and demand of land use problems is more prominent. Therefore, the multi-objective space optimal allocation of urban land use based on spatial genetic algorithm was proposed in this paper. Firstly, the present situation of the urban land use resources was expounded; in view of the urban land use planning, a spatial genetic algorithm was proposed; then, the urban land was divided into different functional areas, and the land planning and design method was put forward; finally, taking a city's land space planning as an example, the optimal planning and design were carried out to the geological disasters, low hilly land and land overall utilization; by comparing the land use before and after the planning optimization, the advantages of land optimization design were confirmed.

Energy Policy: An Optimal Allocation Approach

1985 ◽  
Vol 24 (3-4) ◽  
pp. 551-563
Author(s):  
Tariq Riaz
Keyword(s):  
Economic Policy ◽  
Energy Policy ◽  
Specific Energy ◽  
Optimal Allocation ◽  
Mathematical Form ◽  
Policy Recommendations ◽  
Energy Problem ◽  
Study Section ◽  
Central Energy ◽  
Allocation Approach

Any system of ideas which underlies economic policy recommendations needs to be made explicit so that its doctrinal premise may be examined and debated. Section I of this paper, therefore, explicitly states the philosophical under -pinning of this study. Section 2 presents the central energy problem in a general mathematical form whereas the solution of the specific energy problem for the Pakistani economy is presented in Section 3, in which policy guidelines for obtaining the desired solution have also been discussed. Finally, Section 4 briefly presents our concluding remarks.

Soil organic carbon stock in different urban land uses: high stock evidence in urban parks

2019 ◽  
Vol 23 (1) ◽  
pp. 159-171 ◽  
Author(s):  
Claudia Canedoli ◽  
Chiara Ferrè ◽  
Davide Abu El Khair ◽  
Emilio Padoa-Schioppa ◽  
Roberto Comolli
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Carbon Stock ◽  
Urban Parks ◽  
Urban Land ◽  
Land Uses ◽  
Soil Organic Carbon Stock ◽  
Organic Carbon Stock

Urban Land Uses

1933 ◽  
Vol 9 (1) ◽  
pp. 102
Author(s):  
Helen C. Monchow ◽  
Harland Bartholomew
Keyword(s):  
Urban Land ◽  
Land Uses

A Multi-Objective Programming Model of Dynamic Adjusting Flight Traffic

2014 ◽  
Vol 538 ◽  
pp. 127-133 ◽  
Author(s):  
Zhao Ning Zhang ◽  
Zhong Zhou Hao ◽  
Zheng Gao
Keyword(s):  
Load Balance ◽  
Optimal Allocation ◽  
Least Squares Method ◽  
Programming Model ◽  
Limiting Factors ◽  
Flight Delays ◽  
Traffic Demand ◽  
Multi Objective ◽  
Multi Objective Programming ◽  
Objective Programming

To alleviate the conflicts between the current flight traffic demand and the resource constraints of airspace, we need to improve the restrictions of flow allocation caused by the static air traffic flow allocation mode. The author analyzes the optimal allocation problem of dynamic adjusting flight flow and draws the conclusion that the problem should satisfy multiple targets, such as low flight delays, low flight cost and balancing the load of the route. Then consider a variety of limiting factors, such as the capacity of the route, flight planning, emergency situations, etc. Then establish multi-objective programming model of dynamic adjusting flight traffic. The objective function is determined by the flight cost, the flight delays and the value of the load balance. And the value of the load balance was first proposed according to the idea of least squares method. Then solve the model based on linear weighted technique. Finally the numerical result shows that the model can satisfy the multiple objectives and dynamic adjust the flight traffic optimally, that proves the rationality and validity of the model and the algorithm.

scholarly journals Identificación de conflictos de uso de suelo para la planificación del crecimiento urbano: ciudad Cuauhtémoc, Chihuahua (México)

2019 ◽  
Vol 45 (2) ◽  
pp. 709
Author(s):  
J.D. Maldonado-Marín ◽  
L.C. Alatorre-Cejudo ◽  
E. Sánchez-Flores
Keyword(s):  
Land Use ◽  
Development Planning ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Uses ◽  
Land Use Conflict ◽  
The Status ◽  
Resolution Model ◽  
Urban Planning And Development ◽  
Land Use Policies

This research incorporates new forms of analysis for urban planning and development in Ciudad Cuauhtémoc, Chihuahua (Mexico), providing elements of reference by identifying areas with potentiality and limitations for urban land use, as well as for agricultural and conservation activities. The general objective was to identify the main conflicts between land uses and coverages to determine the areas of greatest territorial suitability for the city's growth. For this purpose, the Land Use Conflict Identification Strategy (LUCIS) model was used to understand the spatial significance of the status of land use policies, including likely urban patterns associated with agricultural and conservation trends. In the case study, a total of 149,139 inhabitants are estimated for the year 2030, which represents the need for an additional 392.42 hectares to accommodate the population growth. For that of the 16,272.21 hectares that has the population limit, 38 % were allocated to the category of agriculture, 11.95% to conservation soils and 49.67% to urban land (including the existing urban area). There is a significant portion of the area that is in conflict between the different land uses. It concludes, that the integration of a conflict resolution model for land use and land cover represents a practical solution that contributes to the improvement of processes of urban development planning.

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