Suchergebnisse

Intro -- Preface -- Acknowledgments -- Contents -- Chapter 1: Introduction to Agent-Based Modeling and Its Application to Policy Decision-Making -- 1.1 Introduction -- 1.2 Models for Analyzing Urban Spatial Strategic Plans -- 1.2.1 Models for Analyzing Urban Policies -- 1.2.2 MAS and CCA for Urban Modeling -- 1.2.3 Conclusion for Literature Review -- 1.3 What Is Agent-Based Models -- 1.3.1 The Definition of ABMs -- 1.3.2 How to Build a ABM -- 1.3.2.1 The Agents -- 1.3.2.2 The Environment -- 1.3.2.3 Agent's Decision Rule -- 1.3.2.4 Agents' Interaction -- 1.4 Agent-Based Models for Decision Support of Urban Planning Policies -- 1.4.1 ABMs for Individual-Based Behavior Research -- 1.4.2 ABMs for Policy Decision-Making -- 1.5 Discussion -- References -- Chapter 2: The Environment for Accommodating Agents and Representing Urban Planning Conditions -- 2.1 Introduction -- 2.2 Hypothetical Urban Space for Accommodating Urban Planning Conditions -- 2.2.1 An Environment for Representing Planning Urban Form -- 2.2.2 An Environment for Representing the Urban Planning Condition -- 2.3 Distributing Agents on the Environment and its Validation -- 2.3.1 Factors Affecting Spatial Distribution -- 2.3.2 Land Use Zoning Constraints -- 2.3.3 Housing Suitability of Each Cell -- 2.4 How HDF Works in an ABM -- 2.5 Validation of HDF for Urban Planning Conditions -- 2.5.1 The Variogram Model Using for Validation of HDF -- 2.5.2 Sub-area Radiuses Using as Validation Parameters -- 2.5.3 Using the Variogram for Validation -- 2.6 Discussions -- References -- Chapter 3: Simulation of Urban Growth and Household Aggregation for Planning Support of Local Spatial Strategic Plan -- 3.1 Introduction -- 3.2 CCA Model for Representing Multi-driving Forces in Urban Spatial Dynamic Simulation -- 3.2.1 Combined System for Decision-Making Support of Local Spatial Strategic Plan.

This book introduces planning support systems by combining policy decision-making process with the mechanism of urban spatial or functional development regarding to the planning policies on strategic level. By analyzing policy interactions between household agents, the book concentrates on visualizing and forecasting macro phenomenon of policy effects through revealing the discrete, micro human behaviors around the urban functions of dwelling, recreation, working, and transportation. Simulations are created based on these policy outcome assessments, taking into account the influences of energy and resource consumption and CO2 emission on sustainable development in urban environments. The book is geared towards researchers, universities, and urban policy makers. The book begins by presenting a framework of urban growth simulation, and introducing Spatial Strategic Planning Support System (SSP-SS). Then, household lifecycle and relocation models are employed for simulating policy impacts on urbanization, and investigating the impacts of spatial strategic planning. Several projects are assessed using agent-based modeling including shopping centre construction, day-care service for aging populations, and developing of "bus city" for reducing transportation CO2 emission. The final chapter identifies the key planning factors that play effective roles on reducing carbon emission in urban master plan by simulating the carbon emission volume in urban area.

Urban areas face daunting environmental, economic and social challenges that have increased in scope in recent years, especially given climate change and globalization. At the same time, cities provide exciting opportunities for growth and revitalization of local and national economies. The interplay of these challenges and opportunities create important tasks for policymakers and researchers. This book provides a new horizon for exploring solutions to urban problems, especially water-related disasters in urban areas. It is of a cross-disciplinary nature offering both new concepts and practices that will help to promote communication between urban planning communities and water management professionals in order to integrate water-related disaster management into spatial planning.