Strategic spatial planning support system for sustainable development : agent-based modelling and simulation / / Yan Ma, Zhenjiang Shen

• Autore: Ma Yan
• Pubblicazione: Cham, Switzerland : , : Springer, , [2022]; ©2022
• Descrizione fisica: 1 online resource (229 pages)
• Disciplina: 304.2
• Soggetto topico: Geographic information systems
• Persona (resp. second.): ShenZhenjiang
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Intro -- Preface -- Acknowledgments -- Contents -- Chapter 1: Introduction to Agent-Based Modeling and Its Application to Policy Decision-Making -- 1.1 Introduction -- 1.2 Models for Analyzing Urban Spatial Strategic Plans -- 1.2.1 Models for Analyzing Urban Policies -- 1.2.2 MAS and CCA for Urban Modeling -- 1.2.3 Conclusion for Literature Review -- 1.3 What Is Agent-Based Models -- 1.3.1 The Definition of ABMs -- 1.3.2 How to Build a ABM -- 1.3.2.1 The Agents -- 1.3.2.2 The Environment -- 1.3.2.3 Agent's Decision Rule -- 1.3.2.4 Agents' Interaction -- 1.4 Agent-Based Models for Decision Support of Urban Planning Policies -- 1.4.1 ABMs for Individual-Based Behavior Research -- 1.4.2 ABMs for Policy Decision-Making -- 1.5 Discussion -- References -- Chapter 2: The Environment for Accommodating Agents and Representing Urban Planning Conditions -- 2.1 Introduction -- 2.2 Hypothetical Urban Space for Accommodating Urban Planning Conditions -- 2.2.1 An Environment for Representing Planning Urban Form -- 2.2.2 An Environment for Representing the Urban Planning Condition -- 2.3 Distributing Agents on the Environment and its Validation -- 2.3.1 Factors Affecting Spatial Distribution -- 2.3.2 Land Use Zoning Constraints -- 2.3.3 Housing Suitability of Each Cell -- 2.4 How HDF Works in an ABM -- 2.5 Validation of HDF for Urban Planning Conditions -- 2.5.1 The Variogram Model Using for Validation of HDF -- 2.5.2 Sub-area Radiuses Using as Validation Parameters -- 2.5.3 Using the Variogram for Validation -- 2.6 Discussions -- References -- Chapter 3: Simulation of Urban Growth and Household Aggregation for Planning Support of Local Spatial Strategic Plan -- 3.1 Introduction -- 3.2 CCA Model for Representing Multi-driving Forces in Urban Spatial Dynamic Simulation -- 3.2.1 Combined System for Decision-Making Support of Local Spatial Strategic Plan. ; 3.2.2 The Framework of the Combined System -- 3.2.3 System Implementation and Results -- 3.3 CCA Model for Supporting Decision-Making of Territory Spatial Planning -- 3.3.1 The Establishing of Territory Spatial Planning and Basical Technical Needs -- 3.3.2 Coupling the "Double Evaluation" with CCA Simulation -- 3.3.3 Methods for the Coupled Simulation Model -- 3.3.4 Case Study Area -- 3.3.5 Recognizing the Spatial Constraints on Urban Spatial Dynamic -- 3.3.5.1 Building the Evaluation Index -- 3.3.5.2 Evaluation of TDS -- 3.3.6 Simulating Construction Land Resources Expansion During Urban Spatial Dynamic -- 3.4 Discussion -- References -- Chapter 4: Agent-Based Simulation of Household Residential Relocation and Decision-Making Support of Downtown Revitalization -- 4.1 Introduction -- 4.2 Existing Researches for Household Residential Location Choice -- 4.3 Approach of Agent-Based Simulation for Downtown Revitalization -- 4.3.1 Simulation Framework -- 4.3.2 Framework of Agent-Based Relocation Model -- 4.4 Model Design -- 4.4.1 The Agents -- 4.4.2 Agents' Decision Rule -- 4.5 How to Make a Relocation? -- 4.6 Evaluation of Residential Utility and Satisfaction -- 4.6.1 Equations for Calculating Residential Satisfaction -- 4.7 Agents Evaluate on the Utilities of Candidate Cells in the Urban Space -- 4.7.1 Agents' Interactions -- 4.8 Environment and Parameters for Simulation Configuration -- 4.8.1 Hypothetical Urban Space and Household Agents -- 4.8.2 Parameters for Satisfaction Evaluation and Utility -- 4.8.2.1 Questionnaire of Residential and Housing Environment in Kanazawa City -- 4.8.2.2 Parameters for Household satisfaction Evaluation and Utility Calculation -- 4.8.2.3 Initial Parameters for Simulation -- 4.9 Model Test -- 4.9.1 Sensitivity Test of Household Lifecycle -- 4.9.2 Satisfaction Threshold for Making Decision on Relocation Choices. ; 4.9.3 Policy Impacts on Downtown Revitalization -- 4.10 Model Validation -- 4.11 Discussions -- References -- Chapter 5: Agent-Based Simulation for Decision-Making Support of Spatial Strategy for Large-Scale Shopping Center Development -- 5.1 Introduction -- 5.2 Agents in the Urban Space and Their Behavior Rules -- 5.2.1 The Framework of ShopSim Model -- 5.2.2 Planner Agent -- 5.2.3 Large-Scale Shop Developer Agent -- 5.2.4 Shop Agent -- 5.2.5 Household-Agents -- 5.2.6 The Interactions Between Agents -- 5.3 Modelling the Transportation Mode in the Shop-Selection Model -- 5.4 Sensitivity Test and Validation -- 5.4.1 Initial Settings -- 5.4.2 Sensitivity Test -- 5.5 Analysis on the Large-Scale Shopping Center Development Policy -- 5.5.1 Case Study Area -- 5.5.2 Simulating the Spatial Patterns and Market Shares -- 5.5.3 The Hypothetical Urban Space -- 5.5.4 Policy Scenarios -- 5.5.5 Model Test -- 5.5.6 Comparison of Different Scenarios -- 5.6 Discussions -- References -- Chapter 6: Agent-Based Simulation on Residents' Travel Mode Choice for Local Transportation Development Strategy -- 6.1 Introduction -- 6.2 Methodology of TDM Decision-Making Support -- 6.2.1 Planning and Decision-Making Process -- 6.2.2 The Framework of RB Model -- 6.3 Model Formulation -- 6.3.1 The Environment of RB Model -- 6.3.2 Resident Agent -- 6.3.3 Bus Agent -- 6.3.4 Agents Interaction -- 6.4 Variables and Parameters for Model Application -- 6.4.1 Case Study Area -- 6.4.2 Variable Description -- 6.4.3 Initial Conditions for the Simulation -- 6.5 Model Test and Validation -- 6.5.1 Stability Test -- 6.5.2 Sensitivity Test -- 6.5.3 Validation by Real Data -- 6.6 Scenario Analysis -- 6.6.1 Scenario Design -- 6.6.2 Strategy 1: Bike-Sharing Area Control -- 6.6.3 Strategy 2: Improve Bus Service -- 6.6.4 Strategy 3: Improve the Bus Station Environment -- 6.7 Discussions -- References. ; Chapter 7: Agent-Based Modeling for Decision-Making on the Strategy of Community Senior Activity Center Development -- 7.1 Introduction -- 7.2 Planning and Decision-Making Process for Community Senior Activity Centers Based on ABM -- 7.3 CFE Model Design -- 7.3.1 Agent Design -- 7.3.1.1 Family Agent (Senior Agent) -- 7.3.1.2 CFE Agent -- 7.3.1.3 Planner Agent -- 7.3.2 Agent Adaptive Behavior Selection Based on Individual Learning -- 7.3.2.1 Seniors' Choice of Community Senior Activity Centers -- 7.3.2.2 Planning Management Decisions -- 7.4 CFE Model Application-A Case Study in Downtown Fuzhou City, China -- 7.4.1 Model Development Platform, Data Pre-processing and Parameter Attribute Determination -- 7.4.1.1 Model Data Pre-processing -- 7.4.1.2 Determination of Model Parameters -- 7.4.2 Model Testing -- 7.4.2.1 Stability Test -- 7.4.2.2 Sensitivity Test -- 7.4.2.3 Verification with Real Data -- 7.4.3 Model Simulation Results -- 7.4.3.1 Simulation and Prediction of Space Demand for Community Activity Centers in 2030 -- 7.4.3.2 Simulation for Policy Scenarios to Explore the Planning Strategy of Community Senior Activity Centers -- 7.5 Conclusion and Discussion -- References -- Chapter 8: Decision-Making Support System for Low-Carbon Urban Master Plan of New Town -- 8.1 Introduction -- 8.2 Carbon-Emission Simulation and Low-Carbon Assessment for Master Planning -- 8.2.1 Simulation Framework -- 8.2.2 Model Simulation Design -- 8.2.2.1 Prediction and Identification of New Towns' Spatial Structure Based on Land-Use Layout -- 8.2.2.2 Intracity Traffic Origin-Destination (OD) Prediction Based on Traffic Behavior -- 8.2.3 Building a Land Use-Carbon Emission Correlation Framework -- 8.2.4 Carbon-Emission Accounting Method -- 8.2.4.1 Calculating Carbon Emissions in New Towns -- 8.2.4.2 Accounting Methods for Carbon Emissions from Different Systems. ; 8.2.5 Low-Carbon Assessment of Planning Schemes -- 8.3 System Development and Testing -- 8.3.1 System Framework -- 8.3.2 Development Results -- 8.3.3 System Testing -- 8.4 System Application -- 8.4.1 Overview of the Xixian New Town Master Plan of Xi'an City, China -- 8.4.2 Low-Carbon Assessment of the Xixian New Town Master Plan -- 8.4.2.1 Forecast of Total Carbon Emissions in Xixian New Town -- 8.4.2.2 Low-Carbon Measurement of Xixian New Town -- 8.4.3 Multiscenario Regulation of Xixian New Town Master Plan -- 8.4.3.1 Multipolicy Scenario Design -- 8.4.3.2 Policy Scenario 1: Optimize the Transportation Structure and Increase Public Transportation Use -- 8.4.3.3 Policy Scenario 2: Improve the Degree of Mixed Land Use in Monofunctional Clusters -- 8.4.3.4 Policy Scenario 3: Adjust the Land Structure and Increase the Proportion of Green Space in Built-Up Land -- 8.5 Conclusion -- References -- Index.
• Titolo autorizzato: Strategic spatial planning support system for sustainable development
• ISBN: 3-031-07543-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910616392103321
• Lo trovi qui: Univ. Federico II
• Serie: Advances in Geographic Information Science Ser.