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Titlebook: Downtown Dynamics; Toshiyuki Kaneda Book 2020 Springer Japan KK, part of Springer Nature 2020 Downtown Dynamics.Gaming Simulation.Intellig

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发表于 2025-3-21 17:51:52 | 显示全部楼层 |阅读模式
书目名称Downtown Dynamics
编辑Toshiyuki Kaneda
视频video
概述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 age
丛书名称Agent-Based Social Systems
图书封面Titlebook: Downtown Dynamics;  Toshiyuki Kaneda Book 2020 Springer Japan KK, part of Springer Nature 2020 Downtown Dynamics.Gaming Simulation.Intellig
描述.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 app
出版日期Book 2020
关键词Downtown Dynamics; Gaming Simulation; Intelligent Agent Simulation; Shop-Around Behavior; Simulation; Sys
版次1
doihttps://doi.org/10.1007/978-4-431-54901-7
isbn_ebook978-4-431-54901-7Series ISSN 1861-0803 Series E-ISSN 2364-9542
issn_series 1861-0803
copyrightSpringer Japan KK, part of Springer Nature 2020
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发表于 2025-3-22 00:17:45 | 显示全部楼层
A Comparative Study of Factors of Land Price Index by Space Syntax Measures in Nagoya CBD Between 19cumulation, street width, and the SS index as factors in 1935 and 1965. (2) We compared the two estimated models, focusing on the changes in factor order. We concluded that the SS index has an impact on prosperity for city planning projects.
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https://doi.org/10.1007/978-0-387-30443-4 (1) patterns of change in shop types during this period; (2) a spatial shift in the visitors’ behaviors; and (3) crowding indicators as potential factors behind shop tenant changes. Additionally, a relationship between the amount of walking around by visitors and the density of shops was confirmed.
发表于 2025-3-22 08:43:20 | 显示全部楼层
Prediction of Violence in Inpatient Settingss by installing RFID antennas in the store. From the results of analyzing the tendency to sell products together and the results of in-store behavior recording experiments using RFID antennas, we were able to confirm the presence of customers who traveled around the store twice.
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Violence in Mental Health Settings gate, the visual step depth from the adjoining building via an underground passage, and the counts of directly visible shop tenants. These three variables supported the effectiveness of the SS measure as a factor describing pedestrian numbers.
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发表于 2025-3-23 04:23:35 | 显示全部楼层
A Review of a Shop-Around Behavior Survey in the Osu District district in the form of panel data. Additionally, the 2018 survey categorized the customer base of visitors to the district into six clusters and confirmed the existence of multiple customer bases with different characteristics.
发表于 2025-3-23 05:57:55 | 显示全部楼层
Analyses on Transition Factors of Shop Tenants Inside Osu Shopping District (1) patterns of change in shop types during this period; (2) a spatial shift in the visitors’ behaviors; and (3) crowding indicators as potential factors behind shop tenant changes. Additionally, a relationship between the amount of walking around by visitors and the density of shops was confirmed.
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