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Library Resource

Land

Publicación revisada por pares
Enero, 2023
Global

Analyses of the scale and structural characteristics of construction land serve as the basis for optimizing the spatial pattern of territorial planning. Existing studies have focused mainly on the horizontal expansion of urban construction land.

Library Resource

Land

Publicación revisada por pares
Enero, 2023
Global

North Korea experienced a catastrophic famine in the mid-1990s that resulted in millions of deaths. This study aims to build an agent-based model to understand the risk of land degradation and famine in North Korea and explore potential solutions to mitigate this risk. The model concept reflects the general information of collective farms in North Korea, which was set in 1960, and the abstract of the social–ecological system of North Korean agriculture. The model comprises the agent, environment, and external factors.

Library Resource

Land

Publicación revisada por pares
Enero, 2023
Global

With the intensification of the contradiction between living space and population growth, it is necessary to improve the effectiveness of urban residential land allocation. This study systematically reviews 169 papers following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol to collect and collate the contributing factors that affecting the supply of and demand for urban residential land for different countries, and a statistical analysis of long-term series data is conducted to further verify the rationality of the contributing factors.

Library Resource

Land

Publicación revisada por pares
Enero, 2023
Hong Kong

Urban land optimization in urban agglomerations plays an important role in promoting territorial spatial planning to achieve high-quality development, land ecological suitability (LES) is one of the important variables influencing its urbanization and needs to be considered in urban growth simulation and modeling. This research proposed a multi-objective urban land optimization (MULO) model based on the non-dominated sorting genetic algorithm II (NSGA-II) which integrates the LES assessment.

Library Resource

Land

Publicación revisada por pares
Enero, 2023
Global

Agent-based models (ABMs) are particularly suited for simulating the behaviour of agricultural agents in response to land use (LU) policy. However, there is no evidence of their widespread use by policymakers. Here, we carry out a review of LU ABMs to understand how farmers’ decision-making has been modelled. We found that LU ABMs mainly rely on pre-defined behavioural rules at the individual farmers’ level. They prioritise explanatory over predictive purposes, thus limiting the use of ABM for policy assessment.

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