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

Coenzyme

書目名稱Downtown Dynamics影響因子(影響力)




書目名稱Downtown Dynamics影響因子(影響力)學科排名




書目名稱Downtown Dynamics網絡公開度




書目名稱Downtown Dynamics網絡公開度學科排名




書目名稱Downtown Dynamics被引頻次




書目名稱Downtown Dynamics被引頻次學科排名




書目名稱Downtown Dynamics年度引用




書目名稱Downtown Dynamics年度引用學科排名




書目名稱Downtown Dynamics讀者反饋




書目名稱Downtown Dynamics讀者反饋學科排名

總

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.

legislate

DALLY

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.

N斯巴達人

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.

鋸齒狀

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.

鋸齒狀

名字的誤用

Indolent

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.

一罵死割除

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.