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Strategic spatial planning support system for sustainable developmentagent-based modelling and simulation /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Strategic spatial planning support system for sustainable developmentby Yan Ma, Zhenjiang Shen.
Reminder of title:	agent-based modelling and simulation /
Author:	Ma, Yan.
other author:	Shen, Zhenjiang.
Published:	Cham :Springer International Publishing :2022.
Description:	xiii, 220 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Sustainable developmentGeographic information systems.
Online resource:	https://doi.org/10.1007/978-3-031-07543-8
ISBN:	9783031075438$q(electronic bk.)

Strategic spatial planning support system for sustainable developmentagent-based modelling and simulation /
Ma, Yan.

Strategic spatial planning support system for sustainable developmentagent-based modelling and simulation /[electronic resource] :by Yan Ma, Zhenjiang Shen. - Cham :Springer International Publishing :2022. - xiii, 220 p. :ill., digital ;24 cm. - Advances in geographic information science,1867-2442. - Advances in geographic information science..

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.

ISBN: 9783031075438$q(electronic bk.)

Standard No.: 10.1007/978-3-031-07543-8doiSubjects--Topical Terms:

935606
Sustainable development
--Geographic information systems.

LC Class. No.: HC79.E5 / M3 2022

Dewey Class. No.: 338.9270285

Strategic spatial planning support system for sustainable developmentagent-based modelling and simulation /
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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.
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.
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