Utilizing What-if? 2.0 GIS planning support system for future potential land use development area simulations

2014 ◽  
Author(s):  
Nor Aizam Adnan ◽  
Noor Syafiqah Che Omar ◽  
Haris Freddy Ismail
Keyword(s):  
Land Use ◽  
Support System ◽  
Planning Support ◽  
Planning Support System ◽  
Future Potential ◽  
Development Area ◽  
Land Use Development ◽  
Potential Land

scholarly journals An open source GIS-based Planning Support System: Application to the land use plan of La Troncal, Ecuador

2016 ◽  
Vol 20 (6) ◽  
pp. 976-990 ◽  
Author(s):  
Inés Santé ◽  
Natalia Pacurucu ◽  
Marcos Boullón ◽  
Andrés Manuel García ◽  
David Miranda
Keyword(s):  
Land Use ◽  
Open Source ◽  
Support System ◽  
System Application ◽  
Planning Support ◽  
Planning Support System ◽  
Open Source Gis ◽  
Land Use Plan

A spatial land-use planning support system based on game theory

2020 ◽  
Vol 99 ◽  
pp. 105013
Author(s):  
Jamshid Maleki ◽  
Zohreh Masoumi ◽  
Farshad Hakimpour ◽  
Carlos A. Coello Coello
Keyword(s):  
Game Theory ◽  
Land Use ◽  
Support System ◽  
Land Use Planning ◽  
Planning Support ◽  
Planning Support System

GIS-based planning support system for rural land-use allocation

2008 ◽  
Vol 63 (2) ◽  
pp. 257-273 ◽  
Author(s):  
Inés Santé-Riveira ◽  
Rafael Crecente-Maseda ◽  
David Miranda-Barrós
Keyword(s):  
Land Use ◽  
Support System ◽  
Rural Land ◽  
Rural Land Use ◽  
Planning Support ◽  
Land Use Allocation ◽  
Planning Support System

A planning support system for rangeland allocation in Iran with case study of Chadegan sub-region

2004 ◽  
Vol 26 (2) ◽  
pp. 225 ◽  
Author(s):  
M. Farahpour ◽  
H. van Keulen ◽  
M. A. Sharifi ◽  
M. Bassiri
Keyword(s):  
Land Use ◽  
Land Tenure ◽  
Support System ◽  
Land Evaluation ◽  
Local Planning ◽  
Tenure Reform ◽  
Planning Support ◽  
Planning Support System ◽  
The Status ◽  
Land Improvement

Overgrazing and untimely grazing are common on rangelands in Iran often because of land tenure ambiguities. For the same reason a considerable portion of the rangelands has been converted into farmland for rainfed cereal production. As a result, these rangelands are experiencing land degradation under the increasing pressure to support a growing population of people and livestock. Land tenure reform is perceived as one approach to improving the use and condition of Iranian rangelands. Changes in land tenure involve very complex decision-making that should lead to sustainable use of the land and contribute to the sustainable livelihood of present and future generations. This paper describes a planning support system developed for rangeland allocation in Iran to support the tenure-reform process. The system is composed of three modules: land evaluation module, district planning module and local planning module. The land evaluation module works in a GIS environment and uses the FAO methodology for land evaluation, with emphasis on biophysical characteristics of the land-use system. Socio-economic factors in terms of the effect of human intervention on the current status of the land have also been taken into account. The district planning module comprises three sub-modules: planning sub-module, grazing sub-module, and a multi-criteria evaluation (MCE) sub-module. The planning sub-module is an optimisation model that examines the degree of realisation of various objectives of stakeholders and generates alternative solutions. For each alternative, the grazing capacity of the land is assessed (grazing sub-module). The MCE sub-module ranks the alternative solutions, taking into account their advantages and disadvantages. The outcome is a pattern of land use consistent with existing government policies and satisfying the needs and desires of the local population. The local planning module also comprises three sub-modules: land allocation sub-module, economically viable grazing enterprise sub-module, and a land improvement planning sub-module. The land allocation sub-module transforms the district land-use pattern into a local land-use plan. The economically viable grazing enterprise sub-module determines the appropriate size of the land holding for each household on each land-mapping unit. Finally, the land improvement planning sub-module provides information on the status and impact of the land improvement program. This planning support system has been applied to the Chadegan sub-region in Iran to illustrate its potential as a decision-making tool. Three scenarios were defined at district level, in addition to the status quo: maximum benefit for farm households; minimum government subsidies; and maximum land cover, emphasizing environmental goals. Results suggest that maximum land cover is the preferred scenario with the highest income and carrying capacity, and lowest level of subsidisation. However, since it eliminates wheat production, this scenario it culturally less attractive.

Development of a flow-based planning support system based on open data for the City of Atlanta

2017 ◽  
Vol 46 (2) ◽  
pp. 207-224
Author(s):  
Ge Zhang ◽  
Wenwen Zhang ◽  
Subhrajit Guhathakurta ◽  
Nisha Botchwey
Keyword(s):  
Support System ◽  
Open Data ◽  
Community Planning ◽  
Relevant Information ◽  
Easy Access ◽  
Data Movement ◽  
Planning Support ◽  
Planning Support System ◽  
Analytical Tools ◽  
The City

Open data have come of age with many cities, states, and other jurisdictions joining the open data movement by offering relevant information about their communities for free and easy access to the public. Despite the growing volume of open data, their use has been limited in planning scholarship and practice. The bottleneck is often the format in which the data are available and the organization of such data, which may be difficult to incorporate in existing analytical tools. The overall goal of this research is to develop an open data-based community planning support system that can collect related open data, analyze the data for specific objectives, and visualize the results to improve usability. To accomplish this goal, this study undertakes three research tasks. First, it describes the current state of open data analysis efforts in the community planning field. Second, it examines the challenges analysts experience when using open data in planning analysis. Third, it develops a new flow-based planning support system for examining neighborhood quality of life and health for the City of Atlanta as a prototype, which addresses many of these open data challenges.

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