Strategic Spatial Planning Support System For Sustainable Development: Agent-Based Modelling And Simulation (Advances In Geographic Information Science)

Springer
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9783031075452
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ISBN13:
9783031075452
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This book introduces a planning support system called Strategic Spatial Plan Support System (SSP-SS) to visualize population growth and predict energy demand, land use, and waste discharge resulting from urbanization. By analyzing policy interactions between household agents, the book uses SSP-SS to visualize policy effects on urban areas during stages of growth and decline. Simulations are created based on these policy outcome assessments, taking into account the influences of energy and resource consumption 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 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 shelter accommodation capacities for earthquakes and other disasters. The final chapters discuss water and energy management, the environmental impacts of demand and consumption, and future recommendations for sustainable development and policy implementation. Introduces Strategic Spatial Plan Support System (SSP-SS) to visualize population growth and predict energy demand, land use, and waste discharge resulting from urbanization. Analyzes policy effects on urban areas during stages of growth and decline. Discusses the influences of water and gas consumption on environmental issues in urban areas for sustainable development.


  • | Author: Yan Ma, Zhenjiang Shen
  • | Publisher: Springer
  • | Publication Date: Oct 13, 2023
  • | Number of Pages: 233 pages
  • | Language: English
  • | Binding: Paperback
  • | ISBN-10: 3031075455
  • | ISBN-13: 9783031075452
Author:
Yan Ma, Zhenjiang Shen
Publisher:
Springer
Publication Date:
Oct 13, 2023
Number of pages:
233 pages
Language:
English
Binding:
Paperback
ISBN-10:
3031075455
ISBN-13:
9783031075452