Strategic spatial planning support system for sustainable development : agent based modelling and simulation Chapter 1. Introduction Chapter 2. Framework for urban growth simulation driven by strategic spatial plan Chapter 3. Household lifecycle model employed as basement for simulating policy impacts on urbanization Chapter 4. Household residential relocation model for investigating impact of spatial strategic policy Chapter 5. Simulating household shopping choices for verifying location policy of large scale shopping centre Chapter 6. Simulating policy impact of community based facility location on day care service for aged population Chapter 7. Evaluating evacuee number and capacity of accommodation shelters for earthquake disaster Chapter 8. Water consumption behaviors and water price negotiation between government and households for domestic water management Chapter 9. Household energy consumption and environment tax in urban area Chapter 10. Conclusions. 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.