Assessing urban land-use development: Developing an agent-based model

2014 ◽  
Vol 19 (1) ◽  
pp. 285-295 ◽  
Author(s):  
Farhad Hosseinali ◽  
Ali A. Alesheikh ◽  
Farshad Nourian
Keyword(s):  
Land Use ◽  
Urban Land ◽  
Urban Land Use ◽  
Agent Based Model ◽  
Agent Based ◽  
Land Use Development

Agent-based modeling of urban land-use development, case study: Simulating future scenarios of Qazvin city

Cities ◽  
2013 ◽  
Vol 31 ◽  
pp. 105-113 ◽  
Author(s):  
Farhad Hosseinali ◽  
Ali A. Alesheikh ◽  
Farshad Nourian
Keyword(s):  
Land Use ◽  
Urban Land ◽  
Agent Based Modeling ◽  
Urban Land Use ◽  
Future Scenarios ◽  
Agent Based ◽  
Land Use Development

Land Use Conversion Probabilities in a Peri-Urban District of Ghana

2015 ◽  
Vol 03 (03) ◽  
pp. 1550026 ◽  
Author(s):  
Divine Odame APPIAH ◽  
Eric Kwabena FORKUO ◽  
John Tiah BUGRI
Keyword(s):  
Land Use ◽  
Urban Areas ◽  
Urban Land ◽  
Agent Based Modeling ◽  
Urban Land Use ◽  
Urban District ◽  
Agent Based ◽  
Land Use Conversion ◽  
Theory Application ◽  
Space Economy

This paper is a critical review, which synthesizes the theory-application linkage of peri-urban land use and land cover changes (LULCC) using the Bosomtwe District in the Ashanti Region of Ghana as the case. From abstractive thinking to empirical possibility, we conjecture human decisions within agent-based modeling (ABM) perspective. The key question the paper has tried to answer is: what are the probable future land use conversion and modification potentials in the district? LULCC in peri-urban areas respond to social and biophysical dynamics. These control spatial distribution of populations, infrastructure, and the space economy. Under systemic laxity of controls, peri-urban land uses deviate from effective land use plans.

scholarly journals MULTI-AGENT BASED SIMULATION OF OPTIMAL URBAN LAND USE ALLOCATION IN THE MIDDLE REACHES OF THE YANGTZE RIVER, CHINA

2016 ◽  
Vol XLI-B8 ◽  
pp. 1089-1092 ◽  
Author(s):  
Y. Zeng ◽  
W. Huang ◽  
W. Jin ◽  
S. Li
Keyword(s):  
Land Use ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Resource ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Land Use Allocation ◽  
Land Use Optimization ◽  
Multi Agent ◽  
Optimization Allocation

The optimization of land-use allocation is one of important approaches to achieve regional sustainable development. This study selects Chang-Zhu-Tan agglomeration as study area and proposed a new land use optimization allocation model. Using multi-agent based simulation model, the future urban land use optimization allocation was simulated in 2020 and 2030 under three different scenarios. This kind of quantitative information about urban land use optimization allocation and urban expansions in future would be of great interest to urban planning, water and land resource management, and climate change research.

scholarly journals MULTI-AGENT BASED SIMULATION OF OPTIMAL URBAN LAND USE ALLOCATION IN THE MIDDLE REACHES OF THE YANGTZE RIVER, CHINA

2016 ◽  
Vol XLI-B8 ◽  
pp. 1089-1092
Author(s):  
Y. Zeng ◽  
W. Huang ◽  
W. Jin ◽  
S. Li
Keyword(s):  
Land Use ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Resource ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Land Use Allocation ◽  
Land Use Optimization ◽  
Multi Agent ◽  
Optimization Allocation

The optimization of land-use allocation is one of important approaches to achieve regional sustainable development. This study selects Chang-Zhu-Tan agglomeration as study area and proposed a new land use optimization allocation model. Using multi-agent based simulation model, the future urban land use optimization allocation was simulated in 2020 and 2030 under three different scenarios. This kind of quantitative information about urban land use optimization allocation and urban expansions in future would be of great interest to urban planning, water and land resource management, and climate change research.

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