This paper presents examples of modeling studies carried out at the International Institute for Applied Systems Analysis (IIASA) where an integration of biophysical and socioeconomic factors in modeling impacts of global environmental was successfully achieved. The first example is taken from an integrated analysis of the impacts of alternative future energy paths on the regional supply and tra...

In this study, an inexact stochastic fuzzy programming (ISFP) model is proposed for land-use allocation (LUA) and environmental/ecological planning at a watershed level, where uncertainties associated with land-use parameters, benefit functions, and environmental/ecological requirements are described as discrete intervals, probabilities and fuzzy sets. In this model, an interval stochastic fuzz...

Optimizing the structure of land use is essential to low-carbon sustainable development a region. This article takes Chengdu, typical western China city, as case study. First, carbon emission coefficients are used calculate emissions. Then, based on multi-objective linear programming (MOP), economic priority scenario (S1), (S2), and strengthening (S3) proposed. Finally, future simulation (FLUS)...

The study aimed to determine the impact of sound land use management to the runoff in Kabuntalan, Maguindanao in Tamontaka river basin. This was done through simulation and the comparison of the three land cover scenarios such as 2015 land cover, 2025 projected land cover and desired land use to determine its difference in terms of runoff. Hydrologic Engineering Center-Hydrologic Modeling Syste...

Carbon sources and sinks as a result of land use and land cover changes (LUCC) are significant for global climate change. This paper aims to identify and analyze the temporal and spatial changes of land use-based carbon emission in the Hubei Province in China. We use a carbon emission coefficient to calculate carbon emissions in different land use patterns in Hubei Province from 1998 to 2009. T...

Food security covers aspects at all spatial levels from local to global and from an interdisciplinary and systemic food systems perspective. This book aims to better understand environmental, nutritional, agricultural, demographic, socioeconomic, political, technological, and institutional drivers, costs, and outcomes of current and future food security. Interactions with contextual factors inc...

Land use optimization (LUO) first considers which types of land should exist in a certain area, and secondly, how to allocate these specific grid units. As an intelligent global search algorithm, the Genetic Algorithm (GA) has been widely used this field. However, there are no comprehensive reviews concerning development process for application (GA-LUO). This article bibliometric analysis metho...

This paper develops a bi-level multi-objective model for road pricing optimization considering land use and transportation effects. The upper-level problem determines cordon-based scheme, while the lower-level models interaction between transportation. To facilitate decision-making in scenario characterized by hierarchical ordering of objectives, novel ?-conditional lexicographic method is esta...