Characteristics, correlations of traditional street space elements and tourist density following spontaneous renovation: a case study on Suzhou’s Shantang Street
Characteristics, correlations of traditional street space elements and tourist density following spontaneous renovation: a case study on Suzhou’s Shantang Street
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自发改造后传统街道空间要素特征、相关性与游客密度——以苏州山塘街为例
DOI：
10.1080/13467581.2020.1781647
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发表时间：
2020
影响因子：
1.3
通讯作者：
N. Furuya
中科院分区：
文献类型：
--
作者：
Zhehan Zhang;Kai Fang;Xinpeng Wang;Lin Chen;Wenda Zhang;N. Furuya
本文以苏州山塘街道为研究对象；利用实地调查、街道测绘、数据统计等方法，观察空间要素、游客密度及其相互关系。山塘街的空间元素分为基础元素（店铺密度、立面开口、临水、D/H）和活动元素（上层遮蔽、商业溢、生活溢）。并对这些特征进行了定量分析。接下来，对山塘街的游客进行现场统计，分析其基本密度。利用SPSS软件的典型相关工具建立基本要素与活动要素之间的关系；得到了两者之间具有显著相关性的一组典型变量。然后使用SPSS多元回归工具观察游客密度与街道空间要素之间的相关性。商店密度、D/H、邻近水域、商业溢出、生活溢出和游客密度呈显著相关。
ABSTRACT 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.