| Description |
1 online resource |
| Series |
Agent-Based Social Systems ; volume 16 |
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Agent-based social systems ; v. 16.
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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 |
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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 |
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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 |
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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 |
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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: Customerś 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.. |
| Summary |
In urban analytics, 'crowding implies the spatiotemporal distributional unevenness of peoples stays and flows in middle-scale urban spaces, and has since become an emerging keyword, attracting not only practical interests but also research interests, especially in the current IoT devised downtown. This book presents a collection of papers on a series of exploratory studies on the rise and fall of downtowns (Downtown Dynamics), which the authors group has been working on with the aim of constructing an artificial society that contributes to the planning and management of crowds by developing Agent-Based Social Simulation (ABSS). In particular, the book includes (1) an analysis of 20 years worth of survey data on visitors shopping-around behavior for Osu district in Nagoya city, as a representative Japanese downtown, (2) correlation analyses of spatial distributions between Visibility Graph Analysis (VGA) as a "visibility index" and crowding in middle scale urban spaces, (3) agent modeling of visitors shopping-around behavior and construction of the Downtown Dynamics Model as an artificial society, and (4) modeling of the vision-driven agent as a "crowd generator" and its applicability to spatial design and sign layout in urban spaces. The book also includes a novel research program derived from complexity system science that provides new approaches to Agent-Based Modeling (ABM), social simulation, regional sciences, geo-informatics, and urban planning studies for researchers and graduate students, as well as planning scientists and practitioners such as town managers and planners who are concerned with downtown revitalization |
| Notes |
Online resource; title from digital title page (viewed on September 30, 2020) |
| Subject |
Central business districts -- Computer simulation
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City planning.
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Economic theory & philosophy.
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Business & management.
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Political economy.
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Business & Economics -- Economics -- Theory.
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Business & Economics -- Management Science.
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Business & Economics -- Urban & Regional.
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City planning
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| Form |
Electronic book
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| Author |
Kaneda, Toshiyuki, editor
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| ISBN |
9784431549017 |
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4431549013 |
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