Focusing on urbanization, the book presents the Strategic Spatial Plan Support System (SSP-SS), designed to visualize population growth and forecast energy demand, land use, and waste discharge. It analyzes the interactions of household agents to assess policy impacts on urban development during various growth phases. Through simulations, it explores the relationship between energy and resource consumption and sustainable urban development. Targeted at researchers, universities, and urban policymakers, it serves as a valuable tool for informed decision-making in urban planning.
This book describes a comprehensive framework of novel simulation approaches, conventional urban models, and related data mining techniques that will help develop planning support systems in Beijing as well as other mega-metropolitan areas. It investigates the relationships between human behaviors and spatial patterns in order to simulate activities in an urban space, visualize planning alternatives, and support decision making. The book first explains urban space using geometric patterns, such as points, networks, and polygons, that help identify patterns of household and individual human behavior. Next, it details how novel simulation methodologies, such as cellular automaton and multi-agent systems, and conventional urban modeling, such as spatial interaction models, can be used to identify an optimal or a simulated solution for a better urban form. The book develops a comprehensive land use and transportation integrated model used to explore the spatial patterns of mutual interaction between human mobility and urban space. This model can help forecast the distribution of different types of households, rent prices, and land prices, as well as the distribution of routes and traffic volume based on an appraisal of labor demand and supply. This book shows how geospatial analysis can be a useful tool for planners and decision makers to help in ascertaining patterns of activities and support urban planning. Offering both novel and conventional approaches to urban modeling, it will appeal to researchers, students, and policy makers looking for the optimal way to plan the development of a mega-metropolitan area
This work presents cases studies of applications of Geotechnology such as Geography Information Systems, virtual reality and cellular automaton and multi-agent systems in the field of urban planning and design. These are joint research presentations with students and colleagues from Kanazawa University. All these case studies are about application in Japanese or Chinese cities, which are on-field examples reflecting the enormous spread of geo-computation technology. Nevertheless, the concepts have wide applicability to other contexts. The works can be classified into three types of Geotechnological applications at different levels of urban spaces, which are relevant to different kinds of urban planning and development projects. The book is comprised of three parts: Part 1: Geosimulation and land use plan Part 2: Geo Visualization and urban design Part 3: Geography information system and planning support
