Overview
- Analyzes 20 years of data on visitors’ shopping-around behavior in a representative Japanese downtown: Osu, Nagoya
- Explains two modeling studies on ‘redundant’ spatial behaviors of shopping-around agents and vision-driven agents
- Presents a research program toward an artificial society for modeling downtown dynamics
Part of the book series: Agent-Based Social Systems (ABSS, volume 16)
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Table of contents (13 chapters)
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Front Matter
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Downtown as Phenomenon and Its Mechanism
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Front Matter
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Spatial Distribution of Prosperity and Visibility
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Front Matter
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Shopper Agents and Downtown Dynamics
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Front Matter
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Emergence of Vision-Driven Agents
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Front Matter
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Keywords
About this book
In urban analytics, ‘crowding’ implies the spatiotemporal distributional unevenness of people’s 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 author’s 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.
Editors and Affiliations
About the editor
Bibliographic Information
Book Title: Downtown Dynamics
Editors: Toshiyuki Kaneda
Series Title: Agent-Based Social Systems
DOI: https://doi.org/10.1007/978-4-431-54901-7
Publisher: Springer Tokyo
eBook Packages: Economics and Finance, Economics and Finance (R0)
Copyright Information: Springer Japan KK, part of Springer Nature 2020
Hardcover ISBN: 978-4-431-54900-0Published: 25 August 2020
eBook ISBN: 978-4-431-54901-7Published: 24 August 2020
Series ISSN: 1861-0803
Series E-ISSN: 2364-9542
Edition Number: 1
Number of Pages: XXI, 250
Number of Illustrations: 82 b/w illustrations, 51 illustrations in colour
Topics: Regional/Spatial Science, Economic Theory/Quantitative Economics/Mathematical Methods, Business and Management, general