This book has emerged through years of discussions, comments and questions we have
received about building agentbased models and integrating geographical information …

Agricultural land-use changes pose challenges for land managers in terms of ensuring the
implementation of local land-use plans. This paper aims to build a land-use change model …

This study critically reviews the scientific literature regarding machine-learning approaches
for optimizing smart bin collection in urban environments. Usually, the problem is modeled …

The Mekong Delta region has been seriously affected by climate change, with increasing
temperatures, sea-level rise, and salinization strongly impacting agricultural activities of the …

Each summer in Australia, bushfires burn many hectares of forest, causing deaths, injuries,
and destroying property. Agent-based simulation is a powerful tool to test various …

A number of urban growth models have been developed to simulate and predict urban
expansion. Most of these models have common objectives; however, they differ in terms of …

This paper formulates requirements for a simulation model designed to study the movement
of all types of vehicles in the ground space of the aerodrome on condition that a centralized …

Simulations of future urban form (road networks, land use type, building density and building
type) are needed to provide greater clarity of future urban flooding dynamics. This paper …

Urban growth models have been developed to simulate and predict urban sprawl
expansion. The majority of these models have common objectives but they differ in terms of …

Modern urban areas require careful management, planning, and investment (Rydin, 2011).
The policymaker has the delicate and challenging role of trying to strike a balance between …