scholarly journals Aligning Agent-Based Modeling With Multi-Objective Land-Use Allocation: Identification of Policy Gaps and Feasible Pathways to Biophysically Optimal Landscapes

2020 ◽  
Vol 8 ◽  
Author(s):  
Bartosz Bartkowski ◽  
Michael Beckmann ◽  
Martin Drechsler ◽  
Andrea Kaim ◽  
Veronika Liebelt ◽  
...  
Author(s):  
Mehran Shaygan ◽  
Abbas Alimohammadi ◽  
Ali Mansourian ◽  
Zohreh Shams Govara ◽  
S. Mostapha Kalami

2017 ◽  
Vol 9 (6) ◽  
pp. 927 ◽  
Author(s):  
Guadalupe Azuara García ◽  
Efrén Palacios Rosas ◽  
Alfonso García-Ferrer ◽  
Pilar Montesinos Barrios

2015 ◽  
Vol 03 (03) ◽  
pp. 1550026 ◽  
Author(s):  
Divine Odame APPIAH ◽  
Eric Kwabena FORKUO ◽  
John Tiah BUGRI

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.


Author(s):  
Y. Zeng ◽  
W. Huang ◽  
W. Jin ◽  
S. Li

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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