[1]胡昂,戴维维,郭仲薇,等.城市生活型街道空间视觉 品质的大规模测度[J].华侨大学学报(自然科学版),2021,42(4):483-493.[doi:10.11830/ISSN.1000-5013.202010007]
　HU Ang,DAI Weiwei,GUO Zhongwei,et al.Large-Scale Measurement of Visual Quality of Space in Urban Living Streets[J].Journal of Huaqiao University(Natural Science),2021,42(4):483-493.[doi:10.11830/ISSN.1000-5013.202010007]
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城市生活型街道空间视觉 品质的大规模测度()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第42卷
期数:
2021年第4期
页码:
483-493
栏目:
出版日期:
2021-07-20

文章信息/Info

Title:
Large-Scale Measurement of Visual Quality of Space in Urban Living Streets
文章编号:
1000-5013(2021)04-0483-11
作者:
胡昂1;  戴维维1;  郭仲薇2;  牛韶斐1;  晏智翔1;  李想3
1. 四川大学 建筑与环境学院, 四川 成都 610064;2. 四川大学 锦江学院, 四川 成都 620860;3. 四川大学 经济学院, 四川 成都 610064
Author(s):
HU Ang1;  DAI Weiwei1;  GUO Zhongwei2; NIU Shaofei1;  YAN Zhixiang1;  LI Xiang3
1. College of Architecture and Environment, Sichuan University, Chengdu 610064, China; 2. College of Jinjiang, Sichuan University, Chengdu 620860, China; 3. School of Economics, Sichuan University, Chengdu 610064, China
关键词:
生活型街道;  视觉品质;  街景图片;  机器学习
Keywords:
living street;  visual quality;  street view picture;  machine learning
分类号:
TU984.191
DOI:
10.11830/ISSN.1000-5013.202010007
文献标志码:
A
摘要:
对街道空间视觉品质评价方法进行优化,采集街景图片并对其进行物理和感知层面的视觉品质评价.首先,通过5个指标描述街道骨架,采用机器学习分割技术对绿视率、围合度和天空开阔度进行三维计算,对贴线率和横截面比进行二维计算.然后,通过问卷调查对街景视觉品质进行主观的满意度评价.最后,通过相关性和回归分析,构建回归模型及拟合公式.结果表明:街道空间视觉品质满意度与绿视率和贴线率呈显著正相关,与围合度呈显著负相关,与天空开阔度和横截面比无明显相关性;3个强相关指标对视觉品质的影响程度从大到小为贴线率>围合度>绿视率.
Abstract:
The visual quality evaluation method of street space was optimized, street view pictures were collected, and their visual quality was evaluated on physical and perceptual levels. 5 indexes were used to describe the street skeleton, the machine learning segmentation technology was used to calculate greenery, enclosure and openness in three-dimensions, the street wall continuity and cross-sectional proportion were calculated in two-dimensions. Through the questionnaire survey, the subjective satisfaction of visual quality of street view was evaluated. Through correlation and regression analysis, the regression model and fitting formula were constructed. The results show that satisfaction of visual quality of street space is significantly positively correlated with the greenery and the street wall continuity, and negatively correlated with enclosure, but is not correlated with the openness and cross-sectional proportion. The influence degree of the three strong correlation indexes on visual quality is: street wall continuity > enclosure > greenery.

参考文献/References:

[1] JACOBS J.美国大城市的死与生[M].金衡山,译.南京:译林出版社,2005.
[2] 李昆澄,程世丹,李欣.城市街道品质指标及测度方法[J].统计与决策,2019,35(11):56-59.DOI:10.13546/j.cnki.tjyjc.2019.11.013.
[3] 黄丹,戴冬晖.生活性街道构成要素对活力的影响: 以深圳典型街道为例[J].中国园林,2019,35(9):89-94.DOI:10.19775/j.cla.2019.09.0089.
[4] 王彦春,陈秋晓,侯焱,等.基于物质要素的街道空间品质评价研究: 以桐庐县老城区为例[J].建筑与文化,2017(3):201-203.DOI:10.3969/j.issn.1672-4909.2017.03.072.
[5] 徐磊青,施婧.步行活动品质与建成环境: 以上海三条商业街为例[J].上海城市规划,2017(1):17-24.DOI:10.3969/j.issn.1673-8985.2017.01.005.
[6] 韩洁,蒋浩宇,王量量.基于语义与街景数据的生活型街道界面研究: 以南宁市新竹路、凤翔路为例[J].城市建筑,2019,16(7):89-94,99.DOI:10.19892/j.cnki.csjz.2019.07.018.
[7] 唐婧娴,龙瀛,翟炜,等.街道空间品质的测度、变化评价与影响因素识别: 基于大规模多时相街景图片的分析[J].新建筑,2016(5):110-115.DOI:10.3969/j.issn.1000-3959.2016.05.021.
[8] 李诗卉,杨卓,梁潇,等.东四历史街区: 基于多时相街景图片的街道空间品质测度[J].北京规划建设,2016(6):39-48.
[9] 唐婧娴,龙瀛.特大城市中心区街道空间品质的测度: 以北京二三环和上海内环为例[J].规划师,2017,33(2):68-73.DOI:10.3969/j.issn.1006-0022.2017.02.011.
[10] 叶宇,张昭希,张啸虎,等.人本尺度的街道空间品质测度: 结合街景数据和新分析技术的大规模、高精度评价框架[J].国际城市规划,2019,34(1):18-27.DOI:10.22217.upi.2018.490.
[11] LYNCH K.城市意象[M].方益萍,何晓军,译.北京:华夏出版社,2001.
[12] 周韬,郑文晖,陈启泉.城市街道景观特征与连续性评价方法研究[J].风景园林,2019,26(3):99-104.DOI:10.14085/j.fjyl.2019.03.0099.06.
[13] TANG Jingxian,LONG Ying.Measuring visual quality of street space and its temporal variation: Methodology and its application in the Hutong area in Beijing[J].Landscape and Urban Planning,2019,191:1-18.DOI:10.1016/j.landurbplan.2018.09.015.
[14] HARVEY C W.Measuring streetscape design for livability using spatial data and methods[D].Burlington:University of Vermont,2014.
[15] 姜斌.日常绿色景观的健康效应测度及其设计转化四个重要议题[J].时代建筑,2017(5):34-37.DOI:10.13717/j.cnki.ta.2017.05.007.
[16] EWING R,HANDY S,BROWNSON R C,et al.Identifying and measuring urban design qualities related to walkability[J].Journal of Physical Activity and Health,2006,3(s1):s223-s240.DOI:10.1123/jpah.3.s1.s223.
[17] 吴振东.基于3D GIS的建筑遗产空间视觉感知定量方法研究[D].无锡:江南大学,2018.
[18] EWING R,HANDY S.Measuringthe unmeasurable: Urban design qualities related to walkability[J].Journal of Urban Design,2009,14(1):65-84.DOI:10.1080/13574800802451155.
[19] GEHL J,SVARRE B.How to study public life[M].Washington D C: Island Press,2013.
[20] 芦原义信.街道的美学[M].尹培桐,译.天津:百花文艺出版社,2006.
[21] 徐磊青,孟若希,陈筝.迷人的街道: 建筑界面与绿视率的影响[J].风景园林,2017,33(10):27-33.DOI:10.14085/j.fjyl.2017.10.0027.07.
[22] EWING R,CERVERO R.Travel and the built environment: Asynthesis[J].Transpottation Research Record: Journal of the Transportation Research Board,2010,76(3):265-294.DOI:10.3141/1780-10.
[23] REID E,CLEMENTE O.Measuring urban design: Metrics for livable places[M].Washington D C: Island Press,2013.
[24] 周进,黄建中.城市公共空间品质评价指标体系的探讨[J].建筑师,2003(3):54-58.
[25] JIANG B,CHANG C,SULLIVNA W.A dose of nature: Tree cover, stress reduction, and gender differences[J].Landscape and Urban Planning,2014,132:26-36.DOI:10.1016/j.landurbplan.2014.08.005.
[26] HARVEY C,AULTMAN-HALL L,HURLEY S E,et al.Effects of skeletal streetscape design on perceived safety[J].Landscape and Urban Planning,2015,142:18-28.DOI:10.1016/j.landurbplan.2015.05.007.
[27] 龙瀛,周垠.街道活力的量化评价及影响因素分析: 以成都为例[J].新建筑,2016(1):52-57.DOI:10.3969/j.issn.1000-3959.2016.01.009.
[28] 许轲,涂平.福州市养老服务设施的空间可达性评价[J].华侨大学学报(自然科学版),2020,41(3):340-347.DOI:10.11830/ISSN.1000-5013.201909009.
[29] ZHAO Hengshuang,SHI Jianping,Qi Xiaojuan,et al.Pyramid scene parsing network[C]//IEEE Conference on Computer Vision and Pattern Recognition.Hawaii: IEEE Press,2017:6230-6239.DOI:10.1109/CVPR.2017.660.

备注/Memo

备注/Memo:
收稿日期: 2020-10-10
通信作者: 郭仲薇(1996-),女,助教,主要从事城市设计的研究.E-mail:guozhongwei@stu.scu.edu.cn.
基金项目: 教育部人文社会科学资助项目(18JF111); 中央高校基本科研业务费资助项目(20826041C4133)
更新日期/Last Update: 2021-07-20