Strategic Spatial Planning Support System for Sustainable Development Agent-Based Modelling and Simulation

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 visualizi...

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Bibliographic Details
Main Authors: Ma, Yan, Shen, Zhenjiang (Author)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2022, 2022
Edition:1st ed. 2022
Series:Advances in Geographic Information Science
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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100 1 |a Ma, Yan 
245 0 0 |a Strategic Spatial Planning Support System for Sustainable Development  |h Elektronische Ressource  |b Agent-Based Modelling and Simulation  |c by Yan Ma, Zhenjiang Shen 
250 |a 1st ed. 2022 
260 |a Cham  |b Springer International Publishing  |c 2022, 2022 
300 |a XIII, 220 p. 145 illus., 111 illus. in color  |b online resource 
505 0 |a 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 
653 |a Computer science 
653 |a Geographical Information System 
653 |a Geography 
653 |a Computer Science 
653 |a Environmental Social Sciences 
653 |a Regional Geography 
653 |a Environmental sciences—Social aspects 
653 |a Geographic information systems 
653 |a Energy policy 
653 |a Energy Policy, Economics and Management 
653 |a Energy and state 
700 1 |a Shen, Zhenjiang  |e [author] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
490 0 |a Advances in Geographic Information Science 
028 5 0 |a 10.1007/978-3-031-07543-8 
856 4 0 |u https://doi.org/10.1007/978-3-031-07543-8?nosfx=y  |x Verlag  |3 Volltext 
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520 |a 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