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Multi-Scenario Land Use and Land Cover (LULC) Change Projection Framework Using Markov Chain and PLUS Integrated Model

Title:

Multi-Scenario Land Use and Land Cover (LULC) Change Projection Framework Using Markov Chain and PLUS Integrated Model

Marey, Ahmed (2023) Multi-Scenario Land Use and Land Cover (LULC) Change Projection Framework Using Markov Chain and PLUS Integrated Model. Masters thesis, Concordia University.

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Abstract

The spatial distribution of urban land use has undergone significant transformations due to rapid urbanization. Assessing the dynamic and complex interactions of land use and land cover (LULC) can help planners and policymakers understand the extent and effects of those changes. This study proposes a novel framework for land use and land cover (LULC) change through the integration of patch-generating land use simulation (PLUS) and Markov Chain (MC) model under different scenarios. Various simulations have been conducted for the island of Montreal, Quebec, Canada using regional land use types under the five shared socioeconomic pathways (SSPs) for the year of 2028. In addition, a comparative study was conducted between three major cities in Canada: Toronto, Ottawa, and Montreal, in which global land use types were used to project LULC change in 2030 based on historical trends. Different accuracy measures were calculated to validate our model and compared to the accuracy of other models reported in the literature. Our findings show that our model achieved a higher figure of merit (FoM) than other models and was able to simulate LULC change without the need for expert knowledge in the field. The results of this multi-scenario simulation and ecological, environmental effect study can be used as a reference for future regional territorial spatial planning and policy formulation. The integration of the PLUS and Markov Chain models is shown to be quite applicable to the projection and assessment of urban spatial land use patterns.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Building, Civil and Environmental Engineering
Item Type:Thesis (Masters)
Authors:Marey, Ahmed
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Building Engineering
Date:11 August 2023
Thesis Supervisor(s):Wang, Liangzhu (Leon) and Goubran, Sherif
Keywords:Patch-Generating Land Use Simulation (PLUS); Markov Chain; Land Use and Land Cover (LULC); Cellular Automata (CA); Spatial Pattern
ID Code:992853
Deposited By: Ahmed Marey
Deposited On:14 Nov 2023 19:29
Last Modified:14 Nov 2023 19:29

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