Downtown Dynamics:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Tokyo
Springer Japan
2020
|
| Schriftenreihe: | Agent-Based Social Systems Ser.
v.16 |
| Schlagworte: | |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 Online-Ressource (257 Seiten) |
| ISBN: | 9784431549017 |
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| 490 | 0 | |a Agent-Based Social Systems Ser. |v v.16 | |
| 500 | |a Description based on publisher supplied metadata and other sources | ||
| 505 | 8 | |a Intro -- Preface -- Downtown Dynamics for Agent-Based Urban Analytics -- The Osu District: A Singular Study of a Lively Downtown District -- Downtown as a Phenomenon and the Visitors' Multi-purpose Multi-stop (MPMS) Behavior -- Spatial Maldistribution of Crowd and Visibility -- Agent Modeling of the Downtown Visitor and Dynamic Simulation of the Downtown Area -- Applicability of Vision-Driven Agents -- Acknowledgments -- Contents -- About the Editor -- Part I: Downtown as Phenomenon and Its Mechanism -- Chapter 1: A Review of a Shop-Around Behavior Survey in the Osu District -- 1.1 Introduction -- 1.2 Explanation of the Survey on Shop-Around Behavior in the Osu District -- 1.2.1 Shop-Around Behavior Survey Method -- 1.2.2 Summary of Each Survey and Basic Statistics Regarding Respondents' Data -- 1.2.3 Shop-Type Configuration Survey and Shop-Visit Count -- 1.3 Features of Spatial Distributions of Shop-Around Behaviors in the 2003, 2008, 2013, and 2018 Surveys -- 1.3.1 Calculation of Spatial Distribution in the District for Walkthrough Frequency and Shop-Visit Frequency -- 1.3.2 The 2003 Survey -- 1.3.3 The 2008 Survey -- 1.3.4 The 2013 Survey -- 1.3.5 The 2018 Survey -- 1.3.6 Shop-Around Corridor Patterns -- 1.4 Osu District Visitor-Cluster Analysis in the 2018 Survey -- 1.4.1 Summary of Visitor Configuration Analysis Based on a Cluster Analysis -- 1.4.2 Attributes of Each Cluster -- 1.5 Conclusion -- References -- Chapter 2: Analyses on Transition Factors of Shop Tenants Inside Osu Shopping District -- 2.1 Research Background and Objectives -- 2.2 Shop Configuration by Category/Type in the Osu District -- 2.2.1 A Comparison Between 2008 and 2013 -- 2.2.2 Spatial Distribution of Shops and Configuration by Retail Category on Each Street -- 2.2.3 Changes in Shop Tenants -- 2.3 Shop-Around Behavior in the Osu District | |
| 505 | 8 | |a 2.3.1 Summary of the Shop-Around Behavior Survey -- 2.3.2 Attributes of Respondents -- 2.3.3 Shop-Around Behavior -- 2.3.4 Visitor Characteristics from the Viewpoint of the Visited Shop Types -- 2.3.5 Ratios of Planned Visits to Shops -- 2.3.6 Ratio of Purchasing/Non-Purchasing -- 2.3.7 Spatial Distribution of Walk-Through Frequency and Shop Visit Count by Street -- 2.4 Factors Behind Shop Tenant Transitions in the Osu District -- 2.4.1 Analytical Framework of Factors Behind Shop Tenant Transitions -- 2.4.2 Walk-Through Frequency and Visit Count Per Shop by Street -- 2.4.3 Analysis of Dynamic Factors and Characteristics of Shop Type -- 2.5 Conclusion -- References -- Chapter 3: Customer's Spatial Behaviors Inside a Supermarket -- 3.1 Introduction -- 3.2 Backgrounds and Related Work -- 3.3 Data Collection Configuration -- 3.4 Analytical Results -- 3.5 Discussion -- 3.6 Concluding Remarks -- References -- Part II: Spatial Distribution of Prosperity and Visibility -- Chapter 4: Analysis of the Correlation Between Underground Spatial Configurations and Pedestrian Flows Using Space Syntax Meas... -- 4.1 Introduction -- 4.1.1 Research Background and Objectives -- 4.1.2 Prior Research on the Factor Analysis of Pedestrians Applying SS Measures -- 4.1.3 Structure of the Research -- 4.2 Case Study: Sakae District -- 4.2.1 Outline of Sakae District -- 4.2.2 Survey of Pedestrian Numbers in the Sakae District Underground Complex -- 4.3 Candidate Explanatory Variables Including SS Theory Measures -- 4.3.1 SS Theory and Proposed Measures -- 4.3.2 Candidate Explanatory Variables and Spatial Distribution for Spatial Analysis of the Sakae District Underground Complex -- 4.3.3 Candidate Explanatory Variables for Shop Proximity and Spatial Distribution in the Sakae District Underground Complex | |
| 505 | 8 | |a 4.4 Analysis of the Relationships Between Underground Spatial Configurations and Pedestrian Flows Using Space Syntax Measures -- 4.4.1 Correlation Between the Pedestrian Numbers and Candidate Factor Variables -- 4.4.2 Regression Analysis Using the Stepwise Method -- 4.4.3 Discussion of the Models Using Regression Analysis -- 4.5 Conclusion -- References -- Chapter 5: A Comparative Study of Factors of Land Price Index by Space Syntax Measures in Nagoya CBD Between 1935 and 1965: Ca... -- 5.1 Introduction -- 5.1.1 Research Background and Objectives -- 5.1.2 Prior Research on the Prosperity Factor Analysis Using the SS Index -- 5.2 Comparative Eras and Example Target Districts -- 5.3 Land Price Index and Candidate Factor Variables Used in the Analysis -- 5.3.1 Prior Research on the Prosperity Factor Analysis Using the SS Index -- 5.3.2 Extraction of Land Price Index and Candidate Factor Variables -- 5.3.3 Spatial Distribution of Land Price Index and Candidate Factor Variables -- 5.4 Investigation of Land Price Index Factors by Multiple Regression Analysis -- 5.4.1 Correlation Matrix Between Land Price Index Candidate Factor Variables -- 5.4.2 Study of the Model of Results from the Multiple Regression Analysis -- 5.4.3 Consideration of Comparison Between Eras Focusing on the Factor Order -- 5.4.4 Study of the Model with Respect to Spatial Autocorrelation -- 5.5 Conclusion -- References -- Chapter 6: Factor Analysis of Office Rent in the Area Around Kanda Station Using Space Syntax Theory: A Comparison with an Ana... -- 6.1 Introduction -- 6.1.1 Research Background and Objectives -- 6.1.2 Prior Research on Rent Factor Analysis Using the SS Index -- 6.2 Rent Data as an Explained Variable -- 6.3 SS Index and Candidate Factor Variables -- 6.3.1 SS Index -- 6.3.2 Other Candidate Factor Variables -- 6.4 Consideration of Office Rent Factors | |
| 505 | 8 | |a 6.4.1 Correlation Between Office Rent and Candidate Factor Variables at Kanda Station -- 6.4.2 Factor Analysis of Office Rent at Kanda Station -- 6.5 Conclusion -- References -- Part III: Shopper Agents and Downtown Dynamics -- Chapter 7: ASSA: Agent-Based Simulation Model for Shop-Around Agent Model -- 7.1 Significance of Developing This Model -- 7.1.1 Definitions of Shop-Around Behavior -- 7.1.2 Shop-Around Behavior Models in Existing Research -- 7.1.3 The Significance of Developing an Agent-Based Model for Shop-Around Behavior -- 7.1.4 Characteristics of the Model -- 7.2 Concept Category of Shop-Around Behavior -- 7.2.1 Consideration of the Plan Phase -- 7.2.2 Consideration of the Do Phase -- 7.2.3 Consideration of the Revise Phase -- 7.2.4 Consideration of the Accident Phase -- 7.3 Composition of Shop-Around Behavior Simulation Model -- 7.3.1 The Concept Behind This Model -- 7.3.2 The Pedestrian Agent Model -- 7.3.2.1 ASSA Development in Stages -- 7.3.2.2 Development of ASSA1.0 -- Assumptions Made During Construction -- Visit Preparation Model -- Commercial District Shop-Around Model -- Model of Movement Between Home and the Commercial District -- 7.3.2.3 Development of ASSA2.0 -- 7.3.2.4 Development of ASSA3.0 -- 7.3.3 Hierarchical Commercial District Model -- 7.3.4 Stay-At-Home Model -- 7.4 Construction of a Model Evaluation Framework -- 7.4.1 Establishment of Evaluation Points -- 7.4.2 Macro-Behavior Analysis -- 7.4.3 Statistics Analysis -- 7.4.4 Illustration of Agent's Individual Behavior -- 7.4.5 Analysis of Similarity in Visit Sequences -- 7.4.6 Redundancy Analysis -- 7.4.6.1 Level 1 Indicator -- 7.4.6.2 Level 2 Indicator -- 7.4.6.3 Level 3 Indicator -- References -- Chapter 8: Policy Simulation Trials of the Shop-Around Agent Model -- 8.1 Introduction -- 8.2 ASSA: System Design and Components | |
| 505 | 8 | |a 8.3 Implementing the Osu Shopping District Case: Its Spatial Representation, Verification, and Validation -- 8.3.1 Framework -- 8.3.2 Verification: Examples of Agent Performance -- 8.3.2.1 Sample A -- 8.3.2.2 Sample B -- 8.3.2.3 Sample C -- 8.3.2.4 Sample D -- 8.4 Validation: Comparison with Survey Results -- 8.5 Policy Simulation Trials -- 8.5.1 Scenario A: Simulation Result -- 8.5.2 Scenario B: Simulation Result -- 8.5.3 Scenario C: Simulation Result -- 8.6 Conclusion -- References -- Chapter 9: Modeling and Simulation of Downtown Dynamics -- 9.1 Understanding Downtown by Agent-Based Simulation: Background and Objectives of the Research -- 9.2 DDy Research on Jacobs' Diversity Hypotheses -- 9.3 Externalities Brought About by Customers' Shop-Around Behavior in Downtown -- 9.4 Errand-Based Modeling of Customer Agents -- 9.4.1 Visit Decision Process in the Oligo-centric Metropolitan Area -- 9.4.2 Errand-Based Visit Place Choice Model -- 9.4.3 Customer Agents' Behaviors Inside Downtown -- 9.4.4 Post-updating Mechanisms Inside a Customer Agent -- 9.5 Setting Up DDy: A Prototype Simulator -- 9.5.1 DDy as a Dynamic Simulator -- 9.5.2 Composition of Shop Agents -- 9.5.3 Detailed Settings of Customer Agents -- 9.6 Simulation Analysis of DDy -- 9.6.1 Simulation Case Settings -- 9.6.2 Analysis of Condition 1: On the Need for Mixed Primary Uses -- 9.6.3 Analysis of Condition 2: On the Need for Small Blocks -- 9.6.4 Analysis of Condition 3: On the Need for Aged Buildings -- 9.6.5 Analysis of Condition 4: On the Need for Concentration -- 9.7 Conclusion: Implications of DDy Simulation Analysis -- References -- Part IV: Emergence of Vision-Driven Agents -- Chapter 10: The Potential of Vision-Driven Agent Simulation: The VD-Walker -- 10.1 Introduction -- 10.2 Vision-Driven Pedestrian Agent Simulation | |
| 505 | 8 | |a 10.2.1 Designing Districts Based on the Analysis of Pedestrian Behavior | |
| 650 | 4 | |a Central business districts | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Kaneda, Toshiyuki |t Downtown Dynamics |d Tokyo : Springer Japan,c2020 |z 9784431549000 |
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| author | Kaneda, Toshiyuki |
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| contents | Intro -- Preface -- Downtown Dynamics for Agent-Based Urban Analytics -- The Osu District: A Singular Study of a Lively Downtown District -- Downtown as a Phenomenon and the Visitors' Multi-purpose Multi-stop (MPMS) Behavior -- Spatial Maldistribution of Crowd and Visibility -- Agent Modeling of the Downtown Visitor and Dynamic Simulation of the Downtown Area -- Applicability of Vision-Driven Agents -- Acknowledgments -- Contents -- About the Editor -- Part I: Downtown as Phenomenon and Its Mechanism -- Chapter 1: A Review of a Shop-Around Behavior Survey in the Osu District -- 1.1 Introduction -- 1.2 Explanation of the Survey on Shop-Around Behavior in the Osu District -- 1.2.1 Shop-Around Behavior Survey Method -- 1.2.2 Summary of Each Survey and Basic Statistics Regarding Respondents' Data -- 1.2.3 Shop-Type Configuration Survey and Shop-Visit Count -- 1.3 Features of Spatial Distributions of Shop-Around Behaviors in the 2003, 2008, 2013, and 2018 Surveys -- 1.3.1 Calculation of Spatial Distribution in the District for Walkthrough Frequency and Shop-Visit Frequency -- 1.3.2 The 2003 Survey -- 1.3.3 The 2008 Survey -- 1.3.4 The 2013 Survey -- 1.3.5 The 2018 Survey -- 1.3.6 Shop-Around Corridor Patterns -- 1.4 Osu District Visitor-Cluster Analysis in the 2018 Survey -- 1.4.1 Summary of Visitor Configuration Analysis Based on a Cluster Analysis -- 1.4.2 Attributes of Each Cluster -- 1.5 Conclusion -- References -- Chapter 2: Analyses on Transition Factors of Shop Tenants Inside Osu Shopping District -- 2.1 Research Background and Objectives -- 2.2 Shop Configuration by Category/Type in the Osu District -- 2.2.1 A Comparison Between 2008 and 2013 -- 2.2.2 Spatial Distribution of Shops and Configuration by Retail Category on Each Street -- 2.2.3 Changes in Shop Tenants -- 2.3 Shop-Around Behavior in the Osu District 2.3.1 Summary of the Shop-Around Behavior Survey -- 2.3.2 Attributes of Respondents -- 2.3.3 Shop-Around Behavior -- 2.3.4 Visitor Characteristics from the Viewpoint of the Visited Shop Types -- 2.3.5 Ratios of Planned Visits to Shops -- 2.3.6 Ratio of Purchasing/Non-Purchasing -- 2.3.7 Spatial Distribution of Walk-Through Frequency and Shop Visit Count by Street -- 2.4 Factors Behind Shop Tenant Transitions in the Osu District -- 2.4.1 Analytical Framework of Factors Behind Shop Tenant Transitions -- 2.4.2 Walk-Through Frequency and Visit Count Per Shop by Street -- 2.4.3 Analysis of Dynamic Factors and Characteristics of Shop Type -- 2.5 Conclusion -- References -- Chapter 3: Customer's Spatial Behaviors Inside a Supermarket -- 3.1 Introduction -- 3.2 Backgrounds and Related Work -- 3.3 Data Collection Configuration -- 3.4 Analytical Results -- 3.5 Discussion -- 3.6 Concluding Remarks -- References -- Part II: Spatial Distribution of Prosperity and Visibility -- Chapter 4: Analysis of the Correlation Between Underground Spatial Configurations and Pedestrian Flows Using Space Syntax Meas... -- 4.1 Introduction -- 4.1.1 Research Background and Objectives -- 4.1.2 Prior Research on the Factor Analysis of Pedestrians Applying SS Measures -- 4.1.3 Structure of the Research -- 4.2 Case Study: Sakae District -- 4.2.1 Outline of Sakae District -- 4.2.2 Survey of Pedestrian Numbers in the Sakae District Underground Complex -- 4.3 Candidate Explanatory Variables Including SS Theory Measures -- 4.3.1 SS Theory and Proposed Measures -- 4.3.2 Candidate Explanatory Variables and Spatial Distribution for Spatial Analysis of the Sakae District Underground Complex -- 4.3.3 Candidate Explanatory Variables for Shop Proximity and Spatial Distribution in the Sakae District Underground Complex 4.4 Analysis of the Relationships Between Underground Spatial Configurations and Pedestrian Flows Using Space Syntax Measures -- 4.4.1 Correlation Between the Pedestrian Numbers and Candidate Factor Variables -- 4.4.2 Regression Analysis Using the Stepwise Method -- 4.4.3 Discussion of the Models Using Regression Analysis -- 4.5 Conclusion -- References -- Chapter 5: A Comparative Study of Factors of Land Price Index by Space Syntax Measures in Nagoya CBD Between 1935 and 1965: Ca... -- 5.1 Introduction -- 5.1.1 Research Background and Objectives -- 5.1.2 Prior Research on the Prosperity Factor Analysis Using the SS Index -- 5.2 Comparative Eras and Example Target Districts -- 5.3 Land Price Index and Candidate Factor Variables Used in the Analysis -- 5.3.1 Prior Research on the Prosperity Factor Analysis Using the SS Index -- 5.3.2 Extraction of Land Price Index and Candidate Factor Variables -- 5.3.3 Spatial Distribution of Land Price Index and Candidate Factor Variables -- 5.4 Investigation of Land Price Index Factors by Multiple Regression Analysis -- 5.4.1 Correlation Matrix Between Land Price Index Candidate Factor Variables -- 5.4.2 Study of the Model of Results from the Multiple Regression Analysis -- 5.4.3 Consideration of Comparison Between Eras Focusing on the Factor Order -- 5.4.4 Study of the Model with Respect to Spatial Autocorrelation -- 5.5 Conclusion -- References -- Chapter 6: Factor Analysis of Office Rent in the Area Around Kanda Station Using Space Syntax Theory: A Comparison with an Ana... -- 6.1 Introduction -- 6.1.1 Research Background and Objectives -- 6.1.2 Prior Research on Rent Factor Analysis Using the SS Index -- 6.2 Rent Data as an Explained Variable -- 6.3 SS Index and Candidate Factor Variables -- 6.3.1 SS Index -- 6.3.2 Other Candidate Factor Variables -- 6.4 Consideration of Office Rent Factors 6.4.1 Correlation Between Office Rent and Candidate Factor Variables at Kanda Station -- 6.4.2 Factor Analysis of Office Rent at Kanda Station -- 6.5 Conclusion -- References -- Part III: Shopper Agents and Downtown Dynamics -- Chapter 7: ASSA: Agent-Based Simulation Model for Shop-Around Agent Model -- 7.1 Significance of Developing This Model -- 7.1.1 Definitions of Shop-Around Behavior -- 7.1.2 Shop-Around Behavior Models in Existing Research -- 7.1.3 The Significance of Developing an Agent-Based Model for Shop-Around Behavior -- 7.1.4 Characteristics of the Model -- 7.2 Concept Category of Shop-Around Behavior -- 7.2.1 Consideration of the Plan Phase -- 7.2.2 Consideration of the Do Phase -- 7.2.3 Consideration of the Revise Phase -- 7.2.4 Consideration of the Accident Phase -- 7.3 Composition of Shop-Around Behavior Simulation Model -- 7.3.1 The Concept Behind This Model -- 7.3.2 The Pedestrian Agent Model -- 7.3.2.1 ASSA Development in Stages -- 7.3.2.2 Development of ASSA1.0 -- Assumptions Made During Construction -- Visit Preparation Model -- Commercial District Shop-Around Model -- Model of Movement Between Home and the Commercial District -- 7.3.2.3 Development of ASSA2.0 -- 7.3.2.4 Development of ASSA3.0 -- 7.3.3 Hierarchical Commercial District Model -- 7.3.4 Stay-At-Home Model -- 7.4 Construction of a Model Evaluation Framework -- 7.4.1 Establishment of Evaluation Points -- 7.4.2 Macro-Behavior Analysis -- 7.4.3 Statistics Analysis -- 7.4.4 Illustration of Agent's Individual Behavior -- 7.4.5 Analysis of Similarity in Visit Sequences -- 7.4.6 Redundancy Analysis -- 7.4.6.1 Level 1 Indicator -- 7.4.6.2 Level 2 Indicator -- 7.4.6.3 Level 3 Indicator -- References -- Chapter 8: Policy Simulation Trials of the Shop-Around Agent Model -- 8.1 Introduction -- 8.2 ASSA: System Design and Components 8.3 Implementing the Osu Shopping District Case: Its Spatial Representation, Verification, and Validation -- 8.3.1 Framework -- 8.3.2 Verification: Examples of Agent Performance -- 8.3.2.1 Sample A -- 8.3.2.2 Sample B -- 8.3.2.3 Sample C -- 8.3.2.4 Sample D -- 8.4 Validation: Comparison with Survey Results -- 8.5 Policy Simulation Trials -- 8.5.1 Scenario A: Simulation Result -- 8.5.2 Scenario B: Simulation Result -- 8.5.3 Scenario C: Simulation Result -- 8.6 Conclusion -- References -- Chapter 9: Modeling and Simulation of Downtown Dynamics -- 9.1 Understanding Downtown by Agent-Based Simulation: Background and Objectives of the Research -- 9.2 DDy Research on Jacobs' Diversity Hypotheses -- 9.3 Externalities Brought About by Customers' Shop-Around Behavior in Downtown -- 9.4 Errand-Based Modeling of Customer Agents -- 9.4.1 Visit Decision Process in the Oligo-centric Metropolitan Area -- 9.4.2 Errand-Based Visit Place Choice Model -- 9.4.3 Customer Agents' Behaviors Inside Downtown -- 9.4.4 Post-updating Mechanisms Inside a Customer Agent -- 9.5 Setting Up DDy: A Prototype Simulator -- 9.5.1 DDy as a Dynamic Simulator -- 9.5.2 Composition of Shop Agents -- 9.5.3 Detailed Settings of Customer Agents -- 9.6 Simulation Analysis of DDy -- 9.6.1 Simulation Case Settings -- 9.6.2 Analysis of Condition 1: On the Need for Mixed Primary Uses -- 9.6.3 Analysis of Condition 2: On the Need for Small Blocks -- 9.6.4 Analysis of Condition 3: On the Need for Aged Buildings -- 9.6.5 Analysis of Condition 4: On the Need for Concentration -- 9.7 Conclusion: Implications of DDy Simulation Analysis -- References -- Part IV: Emergence of Vision-Driven Agents -- Chapter 10: The Potential of Vision-Driven Agent Simulation: The VD-Walker -- 10.1 Introduction -- 10.2 Vision-Driven Pedestrian Agent Simulation 10.2.1 Designing Districts Based on the Analysis of Pedestrian Behavior |
| ctrlnum | (ZDB-30-PQE)EBC6318137 (ZDB-30-PAD)EBC6318137 (ZDB-89-EBL)EBL6318137 (OCoLC)1191128800 (DE-599)BVBBV048224047 |
| dewey-full | 307.76 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 307 - Communities |
| dewey-raw | 307.76 |
| dewey-search | 307.76 |
| dewey-sort | 3307.76 |
| dewey-tens | 300 - Social sciences |
| discipline | Soziologie |
| discipline_str_mv | Soziologie |
| format | Electronic eBook |
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Maldistribution of Crowd and Visibility -- Agent Modeling of the Downtown Visitor and Dynamic Simulation of the Downtown Area -- Applicability of Vision-Driven Agents -- Acknowledgments -- Contents -- About the Editor -- Part I: Downtown as Phenomenon and Its Mechanism -- Chapter 1: A Review of a Shop-Around Behavior Survey in the Osu District -- 1.1 Introduction -- 1.2 Explanation of the Survey on Shop-Around Behavior in the Osu District -- 1.2.1 Shop-Around Behavior Survey Method -- 1.2.2 Summary of Each Survey and Basic Statistics Regarding Respondents' Data -- 1.2.3 Shop-Type Configuration Survey and Shop-Visit Count -- 1.3 Features of Spatial Distributions of Shop-Around Behaviors in the 2003, 2008, 2013, and 2018 Surveys -- 1.3.1 Calculation of Spatial Distribution in the District for Walkthrough Frequency and Shop-Visit Frequency -- 1.3.2 The 2003 Survey -- 1.3.3 The 2008 Survey -- 1.3.4 The 2013 Survey -- 1.3.5 The 2018 Survey -- 1.3.6 Shop-Around Corridor Patterns -- 1.4 Osu District Visitor-Cluster Analysis in the 2018 Survey -- 1.4.1 Summary of Visitor Configuration Analysis Based on a Cluster Analysis -- 1.4.2 Attributes of Each Cluster -- 1.5 Conclusion -- References -- Chapter 2: Analyses on Transition Factors of Shop Tenants Inside Osu Shopping District -- 2.1 Research Background and Objectives -- 2.2 Shop Configuration by Category/Type in the Osu District -- 2.2.1 A Comparison Between 2008 and 2013 -- 2.2.2 Spatial Distribution of Shops and Configuration by Retail Category on Each Street -- 2.2.3 Changes in Shop Tenants -- 2.3 Shop-Around Behavior in the Osu District</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">2.3.1 Summary of the Shop-Around Behavior Survey -- 2.3.2 Attributes of Respondents -- 2.3.3 Shop-Around Behavior -- 2.3.4 Visitor Characteristics from the Viewpoint of the Visited Shop Types -- 2.3.5 Ratios of Planned Visits to Shops -- 2.3.6 Ratio of Purchasing/Non-Purchasing -- 2.3.7 Spatial Distribution of Walk-Through Frequency and Shop Visit Count by Street -- 2.4 Factors Behind Shop Tenant Transitions in the Osu District -- 2.4.1 Analytical Framework of Factors Behind Shop Tenant Transitions -- 2.4.2 Walk-Through Frequency and Visit Count Per Shop by Street -- 2.4.3 Analysis of Dynamic Factors and Characteristics of Shop Type -- 2.5 Conclusion -- References -- Chapter 3: Customer's Spatial Behaviors Inside a Supermarket -- 3.1 Introduction -- 3.2 Backgrounds and Related Work -- 3.3 Data Collection Configuration -- 3.4 Analytical Results -- 3.5 Discussion -- 3.6 Concluding Remarks -- References -- Part II: Spatial Distribution of Prosperity and Visibility -- Chapter 4: Analysis of the Correlation Between Underground Spatial Configurations and Pedestrian Flows Using Space Syntax Meas... -- 4.1 Introduction -- 4.1.1 Research Background and Objectives -- 4.1.2 Prior Research on the Factor Analysis of Pedestrians Applying SS Measures -- 4.1.3 Structure of the Research -- 4.2 Case Study: Sakae District -- 4.2.1 Outline of Sakae District -- 4.2.2 Survey of Pedestrian Numbers in the Sakae District Underground Complex -- 4.3 Candidate Explanatory Variables Including SS Theory Measures -- 4.3.1 SS Theory and Proposed Measures -- 4.3.2 Candidate Explanatory Variables and Spatial Distribution for Spatial Analysis of the Sakae District Underground Complex -- 4.3.3 Candidate Explanatory Variables for Shop Proximity and Spatial Distribution in the Sakae District Underground Complex</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">4.4 Analysis of the Relationships Between Underground Spatial Configurations and Pedestrian Flows Using Space Syntax Measures -- 4.4.1 Correlation Between the Pedestrian Numbers and Candidate Factor Variables -- 4.4.2 Regression Analysis Using the Stepwise Method -- 4.4.3 Discussion of the Models Using Regression Analysis -- 4.5 Conclusion -- References -- Chapter 5: A Comparative Study of Factors of Land Price Index by Space Syntax Measures in Nagoya CBD Between 1935 and 1965: Ca... -- 5.1 Introduction -- 5.1.1 Research Background and Objectives -- 5.1.2 Prior Research on the Prosperity Factor Analysis Using the SS Index -- 5.2 Comparative Eras and Example Target Districts -- 5.3 Land Price Index and Candidate Factor Variables Used in the Analysis -- 5.3.1 Prior Research on the Prosperity Factor Analysis Using the SS Index -- 5.3.2 Extraction of Land Price Index and Candidate Factor Variables -- 5.3.3 Spatial Distribution of Land Price Index and Candidate Factor Variables -- 5.4 Investigation of Land Price Index Factors by Multiple Regression Analysis -- 5.4.1 Correlation Matrix Between Land Price Index Candidate Factor Variables -- 5.4.2 Study of the Model of Results from the Multiple Regression Analysis -- 5.4.3 Consideration of Comparison Between Eras Focusing on the Factor Order -- 5.4.4 Study of the Model with Respect to Spatial Autocorrelation -- 5.5 Conclusion -- References -- Chapter 6: Factor Analysis of Office Rent in the Area Around Kanda Station Using Space Syntax Theory: A Comparison with an Ana... -- 6.1 Introduction -- 6.1.1 Research Background and Objectives -- 6.1.2 Prior Research on Rent Factor Analysis Using the SS Index -- 6.2 Rent Data as an Explained Variable -- 6.3 SS Index and Candidate Factor Variables -- 6.3.1 SS Index -- 6.3.2 Other Candidate Factor Variables -- 6.4 Consideration of Office Rent Factors</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">6.4.1 Correlation Between Office Rent and Candidate Factor Variables at Kanda Station -- 6.4.2 Factor Analysis of Office Rent at Kanda Station -- 6.5 Conclusion -- References -- Part III: Shopper Agents and Downtown Dynamics -- Chapter 7: ASSA: Agent-Based Simulation Model for Shop-Around Agent Model -- 7.1 Significance of Developing This Model -- 7.1.1 Definitions of Shop-Around Behavior -- 7.1.2 Shop-Around Behavior Models in Existing Research -- 7.1.3 The Significance of Developing an Agent-Based Model for Shop-Around Behavior -- 7.1.4 Characteristics of the Model -- 7.2 Concept Category of Shop-Around Behavior -- 7.2.1 Consideration of the Plan Phase -- 7.2.2 Consideration of the Do Phase -- 7.2.3 Consideration of the Revise Phase -- 7.2.4 Consideration of the Accident Phase -- 7.3 Composition of Shop-Around Behavior Simulation Model -- 7.3.1 The Concept Behind This Model -- 7.3.2 The Pedestrian Agent Model -- 7.3.2.1 ASSA Development in Stages -- 7.3.2.2 Development of ASSA1.0 -- Assumptions Made During Construction -- Visit Preparation Model -- Commercial District Shop-Around Model -- Model of Movement Between Home and the Commercial District -- 7.3.2.3 Development of ASSA2.0 -- 7.3.2.4 Development of ASSA3.0 -- 7.3.3 Hierarchical Commercial District Model -- 7.3.4 Stay-At-Home Model -- 7.4 Construction of a Model Evaluation Framework -- 7.4.1 Establishment of Evaluation Points -- 7.4.2 Macro-Behavior Analysis -- 7.4.3 Statistics Analysis -- 7.4.4 Illustration of Agent's Individual Behavior -- 7.4.5 Analysis of Similarity in Visit Sequences -- 7.4.6 Redundancy Analysis -- 7.4.6.1 Level 1 Indicator -- 7.4.6.2 Level 2 Indicator -- 7.4.6.3 Level 3 Indicator -- References -- Chapter 8: Policy Simulation Trials of the Shop-Around Agent Model -- 8.1 Introduction -- 8.2 ASSA: System Design and Components</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">8.3 Implementing the Osu Shopping District Case: Its Spatial Representation, Verification, and Validation -- 8.3.1 Framework -- 8.3.2 Verification: Examples of Agent Performance -- 8.3.2.1 Sample A -- 8.3.2.2 Sample B -- 8.3.2.3 Sample C -- 8.3.2.4 Sample D -- 8.4 Validation: Comparison with Survey Results -- 8.5 Policy Simulation Trials -- 8.5.1 Scenario A: Simulation Result -- 8.5.2 Scenario B: Simulation Result -- 8.5.3 Scenario C: Simulation Result -- 8.6 Conclusion -- References -- Chapter 9: Modeling and Simulation of Downtown Dynamics -- 9.1 Understanding Downtown by Agent-Based Simulation: Background and Objectives of the Research -- 9.2 DDy Research on Jacobs' Diversity Hypotheses -- 9.3 Externalities Brought About by Customers' Shop-Around Behavior in Downtown -- 9.4 Errand-Based Modeling of Customer Agents -- 9.4.1 Visit Decision Process in the Oligo-centric Metropolitan Area -- 9.4.2 Errand-Based Visit Place Choice Model -- 9.4.3 Customer Agents' Behaviors Inside Downtown -- 9.4.4 Post-updating Mechanisms Inside a Customer Agent -- 9.5 Setting Up DDy: A Prototype Simulator -- 9.5.1 DDy as a Dynamic Simulator -- 9.5.2 Composition of Shop Agents -- 9.5.3 Detailed Settings of Customer Agents -- 9.6 Simulation Analysis of DDy -- 9.6.1 Simulation Case Settings -- 9.6.2 Analysis of Condition 1: On the Need for Mixed Primary Uses -- 9.6.3 Analysis of Condition 2: On the Need for Small Blocks -- 9.6.4 Analysis of Condition 3: On the Need for Aged Buildings -- 9.6.5 Analysis of Condition 4: On the Need for Concentration -- 9.7 Conclusion: Implications of DDy Simulation Analysis -- References -- Part IV: Emergence of Vision-Driven Agents -- Chapter 10: The Potential of Vision-Driven Agent Simulation: The VD-Walker -- 10.1 Introduction -- 10.2 Vision-Driven Pedestrian Agent Simulation</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">10.2.1 Designing Districts Based on the Analysis of Pedestrian Behavior</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Central business districts</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="a">Kaneda, Toshiyuki</subfield><subfield code="t">Downtown Dynamics</subfield><subfield code="d">Tokyo : Springer Japan,c2020</subfield><subfield code="z">9784431549000</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-PQE</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033604780</subfield></datafield></record></collection> |
| id | DE-604.BV048224047 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T19:50:38Z |
| indexdate | 2024-07-10T09:32:28Z |
| institution | BVB |
| isbn | 9784431549017 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033604780 |
| oclc_num | 1191128800 |
| open_access_boolean | |
| physical | 1 Online-Ressource (257 Seiten) |
| psigel | ZDB-30-PQE |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Springer Japan |
| record_format | marc |
| series2 | Agent-Based Social Systems Ser. |
| spelling | Kaneda, Toshiyuki Verfasser aut Downtown Dynamics Tokyo Springer Japan 2020 ©2020 1 Online-Ressource (257 Seiten) txt rdacontent c rdamedia cr rdacarrier Agent-Based Social Systems Ser. v.16 Description based on publisher supplied metadata and other sources Intro -- Preface -- Downtown Dynamics for Agent-Based Urban Analytics -- The Osu District: A Singular Study of a Lively Downtown District -- Downtown as a Phenomenon and the Visitors' Multi-purpose Multi-stop (MPMS) Behavior -- Spatial Maldistribution of Crowd and Visibility -- Agent Modeling of the Downtown Visitor and Dynamic Simulation of the Downtown Area -- Applicability of Vision-Driven Agents -- Acknowledgments -- Contents -- About the Editor -- Part I: Downtown as Phenomenon and Its Mechanism -- Chapter 1: A Review of a Shop-Around Behavior Survey in the Osu District -- 1.1 Introduction -- 1.2 Explanation of the Survey on Shop-Around Behavior in the Osu District -- 1.2.1 Shop-Around Behavior Survey Method -- 1.2.2 Summary of Each Survey and Basic Statistics Regarding Respondents' Data -- 1.2.3 Shop-Type Configuration Survey and Shop-Visit Count -- 1.3 Features of Spatial Distributions of Shop-Around Behaviors in the 2003, 2008, 2013, and 2018 Surveys -- 1.3.1 Calculation of Spatial Distribution in the District for Walkthrough Frequency and Shop-Visit Frequency -- 1.3.2 The 2003 Survey -- 1.3.3 The 2008 Survey -- 1.3.4 The 2013 Survey -- 1.3.5 The 2018 Survey -- 1.3.6 Shop-Around Corridor Patterns -- 1.4 Osu District Visitor-Cluster Analysis in the 2018 Survey -- 1.4.1 Summary of Visitor Configuration Analysis Based on a Cluster Analysis -- 1.4.2 Attributes of Each Cluster -- 1.5 Conclusion -- References -- Chapter 2: Analyses on Transition Factors of Shop Tenants Inside Osu Shopping District -- 2.1 Research Background and Objectives -- 2.2 Shop Configuration by Category/Type in the Osu District -- 2.2.1 A Comparison Between 2008 and 2013 -- 2.2.2 Spatial Distribution of Shops and Configuration by Retail Category on Each Street -- 2.2.3 Changes in Shop Tenants -- 2.3 Shop-Around Behavior in the Osu District 2.3.1 Summary of the Shop-Around Behavior Survey -- 2.3.2 Attributes of Respondents -- 2.3.3 Shop-Around Behavior -- 2.3.4 Visitor Characteristics from the Viewpoint of the Visited Shop Types -- 2.3.5 Ratios of Planned Visits to Shops -- 2.3.6 Ratio of Purchasing/Non-Purchasing -- 2.3.7 Spatial Distribution of Walk-Through Frequency and Shop Visit Count by Street -- 2.4 Factors Behind Shop Tenant Transitions in the Osu District -- 2.4.1 Analytical Framework of Factors Behind Shop Tenant Transitions -- 2.4.2 Walk-Through Frequency and Visit Count Per Shop by Street -- 2.4.3 Analysis of Dynamic Factors and Characteristics of Shop Type -- 2.5 Conclusion -- References -- Chapter 3: Customer's Spatial Behaviors Inside a Supermarket -- 3.1 Introduction -- 3.2 Backgrounds and Related Work -- 3.3 Data Collection Configuration -- 3.4 Analytical Results -- 3.5 Discussion -- 3.6 Concluding Remarks -- References -- Part II: Spatial Distribution of Prosperity and Visibility -- Chapter 4: Analysis of the Correlation Between Underground Spatial Configurations and Pedestrian Flows Using Space Syntax Meas... -- 4.1 Introduction -- 4.1.1 Research Background and Objectives -- 4.1.2 Prior Research on the Factor Analysis of Pedestrians Applying SS Measures -- 4.1.3 Structure of the Research -- 4.2 Case Study: Sakae District -- 4.2.1 Outline of Sakae District -- 4.2.2 Survey of Pedestrian Numbers in the Sakae District Underground Complex -- 4.3 Candidate Explanatory Variables Including SS Theory Measures -- 4.3.1 SS Theory and Proposed Measures -- 4.3.2 Candidate Explanatory Variables and Spatial Distribution for Spatial Analysis of the Sakae District Underground Complex -- 4.3.3 Candidate Explanatory Variables for Shop Proximity and Spatial Distribution in the Sakae District Underground Complex 4.4 Analysis of the Relationships Between Underground Spatial Configurations and Pedestrian Flows Using Space Syntax Measures -- 4.4.1 Correlation Between the Pedestrian Numbers and Candidate Factor Variables -- 4.4.2 Regression Analysis Using the Stepwise Method -- 4.4.3 Discussion of the Models Using Regression Analysis -- 4.5 Conclusion -- References -- Chapter 5: A Comparative Study of Factors of Land Price Index by Space Syntax Measures in Nagoya CBD Between 1935 and 1965: Ca... -- 5.1 Introduction -- 5.1.1 Research Background and Objectives -- 5.1.2 Prior Research on the Prosperity Factor Analysis Using the SS Index -- 5.2 Comparative Eras and Example Target Districts -- 5.3 Land Price Index and Candidate Factor Variables Used in the Analysis -- 5.3.1 Prior Research on the Prosperity Factor Analysis Using the SS Index -- 5.3.2 Extraction of Land Price Index and Candidate Factor Variables -- 5.3.3 Spatial Distribution of Land Price Index and Candidate Factor Variables -- 5.4 Investigation of Land Price Index Factors by Multiple Regression Analysis -- 5.4.1 Correlation Matrix Between Land Price Index Candidate Factor Variables -- 5.4.2 Study of the Model of Results from the Multiple Regression Analysis -- 5.4.3 Consideration of Comparison Between Eras Focusing on the Factor Order -- 5.4.4 Study of the Model with Respect to Spatial Autocorrelation -- 5.5 Conclusion -- References -- Chapter 6: Factor Analysis of Office Rent in the Area Around Kanda Station Using Space Syntax Theory: A Comparison with an Ana... -- 6.1 Introduction -- 6.1.1 Research Background and Objectives -- 6.1.2 Prior Research on Rent Factor Analysis Using the SS Index -- 6.2 Rent Data as an Explained Variable -- 6.3 SS Index and Candidate Factor Variables -- 6.3.1 SS Index -- 6.3.2 Other Candidate Factor Variables -- 6.4 Consideration of Office Rent Factors 6.4.1 Correlation Between Office Rent and Candidate Factor Variables at Kanda Station -- 6.4.2 Factor Analysis of Office Rent at Kanda Station -- 6.5 Conclusion -- References -- Part III: Shopper Agents and Downtown Dynamics -- Chapter 7: ASSA: Agent-Based Simulation Model for Shop-Around Agent Model -- 7.1 Significance of Developing This Model -- 7.1.1 Definitions of Shop-Around Behavior -- 7.1.2 Shop-Around Behavior Models in Existing Research -- 7.1.3 The Significance of Developing an Agent-Based Model for Shop-Around Behavior -- 7.1.4 Characteristics of the Model -- 7.2 Concept Category of Shop-Around Behavior -- 7.2.1 Consideration of the Plan Phase -- 7.2.2 Consideration of the Do Phase -- 7.2.3 Consideration of the Revise Phase -- 7.2.4 Consideration of the Accident Phase -- 7.3 Composition of Shop-Around Behavior Simulation Model -- 7.3.1 The Concept Behind This Model -- 7.3.2 The Pedestrian Agent Model -- 7.3.2.1 ASSA Development in Stages -- 7.3.2.2 Development of ASSA1.0 -- Assumptions Made During Construction -- Visit Preparation Model -- Commercial District Shop-Around Model -- Model of Movement Between Home and the Commercial District -- 7.3.2.3 Development of ASSA2.0 -- 7.3.2.4 Development of ASSA3.0 -- 7.3.3 Hierarchical Commercial District Model -- 7.3.4 Stay-At-Home Model -- 7.4 Construction of a Model Evaluation Framework -- 7.4.1 Establishment of Evaluation Points -- 7.4.2 Macro-Behavior Analysis -- 7.4.3 Statistics Analysis -- 7.4.4 Illustration of Agent's Individual Behavior -- 7.4.5 Analysis of Similarity in Visit Sequences -- 7.4.6 Redundancy Analysis -- 7.4.6.1 Level 1 Indicator -- 7.4.6.2 Level 2 Indicator -- 7.4.6.3 Level 3 Indicator -- References -- Chapter 8: Policy Simulation Trials of the Shop-Around Agent Model -- 8.1 Introduction -- 8.2 ASSA: System Design and Components 8.3 Implementing the Osu Shopping District Case: Its Spatial Representation, Verification, and Validation -- 8.3.1 Framework -- 8.3.2 Verification: Examples of Agent Performance -- 8.3.2.1 Sample A -- 8.3.2.2 Sample B -- 8.3.2.3 Sample C -- 8.3.2.4 Sample D -- 8.4 Validation: Comparison with Survey Results -- 8.5 Policy Simulation Trials -- 8.5.1 Scenario A: Simulation Result -- 8.5.2 Scenario B: Simulation Result -- 8.5.3 Scenario C: Simulation Result -- 8.6 Conclusion -- References -- Chapter 9: Modeling and Simulation of Downtown Dynamics -- 9.1 Understanding Downtown by Agent-Based Simulation: Background and Objectives of the Research -- 9.2 DDy Research on Jacobs' Diversity Hypotheses -- 9.3 Externalities Brought About by Customers' Shop-Around Behavior in Downtown -- 9.4 Errand-Based Modeling of Customer Agents -- 9.4.1 Visit Decision Process in the Oligo-centric Metropolitan Area -- 9.4.2 Errand-Based Visit Place Choice Model -- 9.4.3 Customer Agents' Behaviors Inside Downtown -- 9.4.4 Post-updating Mechanisms Inside a Customer Agent -- 9.5 Setting Up DDy: A Prototype Simulator -- 9.5.1 DDy as a Dynamic Simulator -- 9.5.2 Composition of Shop Agents -- 9.5.3 Detailed Settings of Customer Agents -- 9.6 Simulation Analysis of DDy -- 9.6.1 Simulation Case Settings -- 9.6.2 Analysis of Condition 1: On the Need for Mixed Primary Uses -- 9.6.3 Analysis of Condition 2: On the Need for Small Blocks -- 9.6.4 Analysis of Condition 3: On the Need for Aged Buildings -- 9.6.5 Analysis of Condition 4: On the Need for Concentration -- 9.7 Conclusion: Implications of DDy Simulation Analysis -- References -- Part IV: Emergence of Vision-Driven Agents -- Chapter 10: The Potential of Vision-Driven Agent Simulation: The VD-Walker -- 10.1 Introduction -- 10.2 Vision-Driven Pedestrian Agent Simulation 10.2.1 Designing Districts Based on the Analysis of Pedestrian Behavior Central business districts Erscheint auch als Druck-Ausgabe Kaneda, Toshiyuki Downtown Dynamics Tokyo : Springer Japan,c2020 9784431549000 |
| spellingShingle | Kaneda, Toshiyuki Downtown Dynamics Intro -- Preface -- Downtown Dynamics for Agent-Based Urban Analytics -- The Osu District: A Singular Study of a Lively Downtown District -- Downtown as a Phenomenon and the Visitors' Multi-purpose Multi-stop (MPMS) Behavior -- Spatial Maldistribution of Crowd and Visibility -- Agent Modeling of the Downtown Visitor and Dynamic Simulation of the Downtown Area -- Applicability of Vision-Driven Agents -- Acknowledgments -- Contents -- About the Editor -- Part I: Downtown as Phenomenon and Its Mechanism -- Chapter 1: A Review of a Shop-Around Behavior Survey in the Osu District -- 1.1 Introduction -- 1.2 Explanation of the Survey on Shop-Around Behavior in the Osu District -- 1.2.1 Shop-Around Behavior Survey Method -- 1.2.2 Summary of Each Survey and Basic Statistics Regarding Respondents' Data -- 1.2.3 Shop-Type Configuration Survey and Shop-Visit Count -- 1.3 Features of Spatial Distributions of Shop-Around Behaviors in the 2003, 2008, 2013, and 2018 Surveys -- 1.3.1 Calculation of Spatial Distribution in the District for Walkthrough Frequency and Shop-Visit Frequency -- 1.3.2 The 2003 Survey -- 1.3.3 The 2008 Survey -- 1.3.4 The 2013 Survey -- 1.3.5 The 2018 Survey -- 1.3.6 Shop-Around Corridor Patterns -- 1.4 Osu District Visitor-Cluster Analysis in the 2018 Survey -- 1.4.1 Summary of Visitor Configuration Analysis Based on a Cluster Analysis -- 1.4.2 Attributes of Each Cluster -- 1.5 Conclusion -- References -- Chapter 2: Analyses on Transition Factors of Shop Tenants Inside Osu Shopping District -- 2.1 Research Background and Objectives -- 2.2 Shop Configuration by Category/Type in the Osu District -- 2.2.1 A Comparison Between 2008 and 2013 -- 2.2.2 Spatial Distribution of Shops and Configuration by Retail Category on Each Street -- 2.2.3 Changes in Shop Tenants -- 2.3 Shop-Around Behavior in the Osu District 2.3.1 Summary of the Shop-Around Behavior Survey -- 2.3.2 Attributes of Respondents -- 2.3.3 Shop-Around Behavior -- 2.3.4 Visitor Characteristics from the Viewpoint of the Visited Shop Types -- 2.3.5 Ratios of Planned Visits to Shops -- 2.3.6 Ratio of Purchasing/Non-Purchasing -- 2.3.7 Spatial Distribution of Walk-Through Frequency and Shop Visit Count by Street -- 2.4 Factors Behind Shop Tenant Transitions in the Osu District -- 2.4.1 Analytical Framework of Factors Behind Shop Tenant Transitions -- 2.4.2 Walk-Through Frequency and Visit Count Per Shop by Street -- 2.4.3 Analysis of Dynamic Factors and Characteristics of Shop Type -- 2.5 Conclusion -- References -- Chapter 3: Customer's Spatial Behaviors Inside a Supermarket -- 3.1 Introduction -- 3.2 Backgrounds and Related Work -- 3.3 Data Collection Configuration -- 3.4 Analytical Results -- 3.5 Discussion -- 3.6 Concluding Remarks -- References -- Part II: Spatial Distribution of Prosperity and Visibility -- Chapter 4: Analysis of the Correlation Between Underground Spatial Configurations and Pedestrian Flows Using Space Syntax Meas... -- 4.1 Introduction -- 4.1.1 Research Background and Objectives -- 4.1.2 Prior Research on the Factor Analysis of Pedestrians Applying SS Measures -- 4.1.3 Structure of the Research -- 4.2 Case Study: Sakae District -- 4.2.1 Outline of Sakae District -- 4.2.2 Survey of Pedestrian Numbers in the Sakae District Underground Complex -- 4.3 Candidate Explanatory Variables Including SS Theory Measures -- 4.3.1 SS Theory and Proposed Measures -- 4.3.2 Candidate Explanatory Variables and Spatial Distribution for Spatial Analysis of the Sakae District Underground Complex -- 4.3.3 Candidate Explanatory Variables for Shop Proximity and Spatial Distribution in the Sakae District Underground Complex 4.4 Analysis of the Relationships Between Underground Spatial Configurations and Pedestrian Flows Using Space Syntax Measures -- 4.4.1 Correlation Between the Pedestrian Numbers and Candidate Factor Variables -- 4.4.2 Regression Analysis Using the Stepwise Method -- 4.4.3 Discussion of the Models Using Regression Analysis -- 4.5 Conclusion -- References -- Chapter 5: A Comparative Study of Factors of Land Price Index by Space Syntax Measures in Nagoya CBD Between 1935 and 1965: Ca... -- 5.1 Introduction -- 5.1.1 Research Background and Objectives -- 5.1.2 Prior Research on the Prosperity Factor Analysis Using the SS Index -- 5.2 Comparative Eras and Example Target Districts -- 5.3 Land Price Index and Candidate Factor Variables Used in the Analysis -- 5.3.1 Prior Research on the Prosperity Factor Analysis Using the SS Index -- 5.3.2 Extraction of Land Price Index and Candidate Factor Variables -- 5.3.3 Spatial Distribution of Land Price Index and Candidate Factor Variables -- 5.4 Investigation of Land Price Index Factors by Multiple Regression Analysis -- 5.4.1 Correlation Matrix Between Land Price Index Candidate Factor Variables -- 5.4.2 Study of the Model of Results from the Multiple Regression Analysis -- 5.4.3 Consideration of Comparison Between Eras Focusing on the Factor Order -- 5.4.4 Study of the Model with Respect to Spatial Autocorrelation -- 5.5 Conclusion -- References -- Chapter 6: Factor Analysis of Office Rent in the Area Around Kanda Station Using Space Syntax Theory: A Comparison with an Ana... -- 6.1 Introduction -- 6.1.1 Research Background and Objectives -- 6.1.2 Prior Research on Rent Factor Analysis Using the SS Index -- 6.2 Rent Data as an Explained Variable -- 6.3 SS Index and Candidate Factor Variables -- 6.3.1 SS Index -- 6.3.2 Other Candidate Factor Variables -- 6.4 Consideration of Office Rent Factors 6.4.1 Correlation Between Office Rent and Candidate Factor Variables at Kanda Station -- 6.4.2 Factor Analysis of Office Rent at Kanda Station -- 6.5 Conclusion -- References -- Part III: Shopper Agents and Downtown Dynamics -- Chapter 7: ASSA: Agent-Based Simulation Model for Shop-Around Agent Model -- 7.1 Significance of Developing This Model -- 7.1.1 Definitions of Shop-Around Behavior -- 7.1.2 Shop-Around Behavior Models in Existing Research -- 7.1.3 The Significance of Developing an Agent-Based Model for Shop-Around Behavior -- 7.1.4 Characteristics of the Model -- 7.2 Concept Category of Shop-Around Behavior -- 7.2.1 Consideration of the Plan Phase -- 7.2.2 Consideration of the Do Phase -- 7.2.3 Consideration of the Revise Phase -- 7.2.4 Consideration of the Accident Phase -- 7.3 Composition of Shop-Around Behavior Simulation Model -- 7.3.1 The Concept Behind This Model -- 7.3.2 The Pedestrian Agent Model -- 7.3.2.1 ASSA Development in Stages -- 7.3.2.2 Development of ASSA1.0 -- Assumptions Made During Construction -- Visit Preparation Model -- Commercial District Shop-Around Model -- Model of Movement Between Home and the Commercial District -- 7.3.2.3 Development of ASSA2.0 -- 7.3.2.4 Development of ASSA3.0 -- 7.3.3 Hierarchical Commercial District Model -- 7.3.4 Stay-At-Home Model -- 7.4 Construction of a Model Evaluation Framework -- 7.4.1 Establishment of Evaluation Points -- 7.4.2 Macro-Behavior Analysis -- 7.4.3 Statistics Analysis -- 7.4.4 Illustration of Agent's Individual Behavior -- 7.4.5 Analysis of Similarity in Visit Sequences -- 7.4.6 Redundancy Analysis -- 7.4.6.1 Level 1 Indicator -- 7.4.6.2 Level 2 Indicator -- 7.4.6.3 Level 3 Indicator -- References -- Chapter 8: Policy Simulation Trials of the Shop-Around Agent Model -- 8.1 Introduction -- 8.2 ASSA: System Design and Components 8.3 Implementing the Osu Shopping District Case: Its Spatial Representation, Verification, and Validation -- 8.3.1 Framework -- 8.3.2 Verification: Examples of Agent Performance -- 8.3.2.1 Sample A -- 8.3.2.2 Sample B -- 8.3.2.3 Sample C -- 8.3.2.4 Sample D -- 8.4 Validation: Comparison with Survey Results -- 8.5 Policy Simulation Trials -- 8.5.1 Scenario A: Simulation Result -- 8.5.2 Scenario B: Simulation Result -- 8.5.3 Scenario C: Simulation Result -- 8.6 Conclusion -- References -- Chapter 9: Modeling and Simulation of Downtown Dynamics -- 9.1 Understanding Downtown by Agent-Based Simulation: Background and Objectives of the Research -- 9.2 DDy Research on Jacobs' Diversity Hypotheses -- 9.3 Externalities Brought About by Customers' Shop-Around Behavior in Downtown -- 9.4 Errand-Based Modeling of Customer Agents -- 9.4.1 Visit Decision Process in the Oligo-centric Metropolitan Area -- 9.4.2 Errand-Based Visit Place Choice Model -- 9.4.3 Customer Agents' Behaviors Inside Downtown -- 9.4.4 Post-updating Mechanisms Inside a Customer Agent -- 9.5 Setting Up DDy: A Prototype Simulator -- 9.5.1 DDy as a Dynamic Simulator -- 9.5.2 Composition of Shop Agents -- 9.5.3 Detailed Settings of Customer Agents -- 9.6 Simulation Analysis of DDy -- 9.6.1 Simulation Case Settings -- 9.6.2 Analysis of Condition 1: On the Need for Mixed Primary Uses -- 9.6.3 Analysis of Condition 2: On the Need for Small Blocks -- 9.6.4 Analysis of Condition 3: On the Need for Aged Buildings -- 9.6.5 Analysis of Condition 4: On the Need for Concentration -- 9.7 Conclusion: Implications of DDy Simulation Analysis -- References -- Part IV: Emergence of Vision-Driven Agents -- Chapter 10: The Potential of Vision-Driven Agent Simulation: The VD-Walker -- 10.1 Introduction -- 10.2 Vision-Driven Pedestrian Agent Simulation 10.2.1 Designing Districts Based on the Analysis of Pedestrian Behavior Central business districts |
| title | Downtown Dynamics |
| title_auth | Downtown Dynamics |
| title_exact_search | Downtown Dynamics |
| title_exact_search_txtP | Downtown Dynamics |
| title_full | Downtown Dynamics |
| title_fullStr | Downtown Dynamics |
| title_full_unstemmed | Downtown Dynamics |
| title_short | Downtown Dynamics |
| title_sort | downtown dynamics |
| topic | Central business districts |
| topic_facet | Central business districts |
| work_keys_str_mv | AT kanedatoshiyuki downtowndynamics |