摘要
本文利用Python软件筛选历史街区高频语料库并选取形容词,采用SD法与Hololens2搭载的混合现实环境结合的方式,对苏南地区历史街区不同类型公共空间进行场景重现,探究影响历史街区公共空间建成环境的因素。本文运用因子分析法提炼历史街区公共空间的四类评价因子,在各评分基础上解析不同类型公共空间建成环境特点,为公共空间优化提供数据参考。
In this paper,python is used to screen the high-frequency corpus of historical blocks,and adjectives are selected.Semantic Differential and Hololens2 loaded mixed reality environment are used to reproduce different types of scenes in public spaces of historical blocks in southern Jiangsu,and the factors affecting the built environment of public space in historical blocks are explored.Four kinds of evaluation factors of public space in historical blocks are extracted by factor analysis method,and the built environment characteristics of different types of public space are analyzed on the basis of each score to provide data references for public space optimization.
作者
马爽
钱才云
周扬
Ma Shuang;Qian Caiyun;Zhou Yang
出处
《当代建筑》
2022年第11期61-66,共6页
Contemporary Architecture
基金
教育部人文社会科学研究基金项目(编号:21YJCZH248)
江苏省高校哲学社会科学研究一般项目(编号:2021SJA0223)。
关键词
历史街区
公共空间
词频分析
混合现实
建成环境评价
historical blocks
public space
word frequency analysis
mixed reality
built environment evaluation
