The paper combines analytic and numeric tools to investigate a nonlinear optimal control problem relevant to the economics of climate change. The problem describes optimal investments into pollution mitigation and environmental adaptation at a macroeconomic level. The steady-state analysis of this problem focuses on the optimal ratio between adaptation and mitigation. In particular, we analytic...

We are all witnesses to the second wave of socioeconomic modeling. The frustration aroused by thècomprehensive' black-box models of the 1980s is over; cellular automata and multiagent systems have come to the fore. After the retreat of the 1980s and early 1990s, the geographic community is again in favor of modeling, with the number of conferences and journal publications growing constantly. Th...

Recently, different research teams used Cellular models for the analysis of environmental systems using Cellular models. Some of these techniques are based on Cellular Automata, which have some problems constraining its power, usability and feasibility for studying large complex systems. In other cases, the Cellular Automata have been combined with the DEVS (Discrete-Event Systems Specification...

Noise can have negative impact on health. Hearing damage, annoyance, sleep disturbance, high blood pressure, poor cardiovascular health is all linked to community noise. Children, people with existing physical and mental illness and elderly people are most susceptible to community noise. High level of noise from sources such as busy traffic can adversely affect the health of the people living n...

Geographic Information System (GIS) technology is used by land managers and natural resource planners for examining resource distribution and conducting project planning, often by visually interpreting spatial data representing environmental or regulato~ variables. Frequently, many variables influence the decision-making process, and modeling can improve results with even a small investment of ...

Building environmentally friendly software and hardware systems is about understanding and respecting the requirements that are imposed by climate change or regulation. This is especially true, as those systems often require inter-disciplinary collaboration between domain experts who might not have a software or systems engineering background. Existing requirements models lack in three dimensio...

We present a technique for modeling large-scale urban environments for virtual human simulation. Our approach, which involves a set of hierarchical data structures, supports the efficient interaction between numerous autonomous pedestrians and their environment, including perceptual processing and path planning for the purposes of goal directed navigation. As a specific implementation of our ap...

Urban environmental management must integrate the spatial, structural features of a city, typically captured in GIS, and the dynamics of environmental quality indicators that can be obtained by monitoring. To provide decision relevant information supporting planning and management, these components are integrated in models for scenario analysis and optimisation tasks. The paper describes some r...

In environmental soil-landscape modeling (ESLM), the selection of predictive variables is commonly contingent on the researchers’ domain expertise on soileenvironment processes. This variable selection strategy may suffer bias or even fail in regions where the process knowledge is insufficient. To overcome this problem, this study demonstrates a holistic ESLM framework which consists of five co...