TY - JOUR
T1 - Characteristics, correlations of traditional street space elements and tourist density following spontaneous renovation
T2 - a case study on Suzhou’s Shantang Street
AU - Zhang, Zhehan
AU - Fang, Kai
AU - Wang, Xinpeng
AU - Chen, Lin
AU - Zhang, Wenda
AU - Furuya, Nobuaki
N1 - Funding Information:
This work was supported by the National Natural Science Foundation of China [Grant ID:51978616].
Publisher Copyright:
© 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group on behalf of the Architectural Institute of Japan, Architectural Institute of Korea and Architectural Society of China.
PY - 2021
Y1 - 2021
N2 - Shantang Street in Suzhou serves as the object of this study; field investigation, street mapping, data statistics, and other methods are utilized to observe spatial elements, tourist density, and the relationships among them. The spatial elements of Shantang Street are divided into basic elements (store density, facade opening, water proximity, D/H) and activity elements (upper shelter, commercial overflow, life overflow). These characteristics are also analyzed quantitatively. Next, tourists on Shantang Street are counted on-site to analyze their basic density. The SPSS software Canonical Correlation tool is utilized to establish a relationship between basic elements and activity elements; a set of canonical variates with a significant correlation between the two are obtained. The SPSS Multiple Regression tool is then used to observe the correlation between tourist density and street space elements. Store density, D/H, water proximity, commercial overflow, life overflow, and tourist density are found to be significantly correlated.
AB - Shantang Street in Suzhou serves as the object of this study; field investigation, street mapping, data statistics, and other methods are utilized to observe spatial elements, tourist density, and the relationships among them. The spatial elements of Shantang Street are divided into basic elements (store density, facade opening, water proximity, D/H) and activity elements (upper shelter, commercial overflow, life overflow). These characteristics are also analyzed quantitatively. Next, tourists on Shantang Street are counted on-site to analyze their basic density. The SPSS software Canonical Correlation tool is utilized to establish a relationship between basic elements and activity elements; a set of canonical variates with a significant correlation between the two are obtained. The SPSS Multiple Regression tool is then used to observe the correlation between tourist density and street space elements. Store density, D/H, water proximity, commercial overflow, life overflow, and tourist density are found to be significantly correlated.
KW - Traditional streets
KW - canonical correlation
KW - multiple regression
KW - spatial elements
KW - tourist density
UR - http://www.scopus.com/inward/record.url?scp=85087448269&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85087448269&partnerID=8YFLogxK
U2 - 10.1080/13467581.2020.1781647
DO - 10.1080/13467581.2020.1781647
M3 - Article
AN - SCOPUS:85087448269
SN - 1346-7581
VL - 20
SP - 29
EP - 43
JO - Journal of Asian Architecture and Building Engineering
JF - Journal of Asian Architecture and Building Engineering
IS - 1
ER -