历史城区街道品质时空演化分异特征及影响因素
Spatiotemporal Differentiation and Influencing Factors of Street Quality in Historic Urban Areas
蒋泽宇
苏州大学金螳螂建筑学院 博士研究生
吴永发（通信作者）
苏州大学金螳螂建筑学院 中国—葡萄牙文化遗产保护科学一带一路联合 实验室 院长，教授，博士生导师 wuyongfa@suda.edu.cn
苗明瑞
苏州大学金螳螂建筑学院 博士研究生
摘要: 街道品质的提升对于历史城区的整体优化至关重要。选取苏州历史城区的街道为研究对象，通过构建主客观评价体系 分析10年期间历史城区街道品质演化的分异特征，并辅以回归模型探寻影响品质时空演化分异的因素。结果表明：总 体上10年之间优良品质街道的占比呈现先上升后下降的趋势。街道的舒适性逐年上升优化，体验性保持平稳，愉悦性 呈小幅度下降态势，友好性一直处于不佳状态。街道总体品质演化受到5种因素的影响最为显著，并且不同时期各分维 度的影响因素各有异同。研究结果将有助于为街道动态更新工作提供支持。
Abstract: The improvement of street quality is crucial for the overall optimization of historic urban areas. Selecting the streets in the historic urban area of Suzhou as the research object, this study constructs a subjective and objective evaluation system to analyze the differentiation characteristics of street quality evolution in the historic urban area over the past decade, and employs regression models to explore the factors influencing the spatiotemporal differentiation of quality evolution. The results indicate that, overall, the proportion of high-quality streets has shown a trend of initially increasing and then decreasing over the past decade. Street comfort has shown continuous improvement year by year, while experience has remained stable. Pleasure has exhibited a slight decrease, whereas friendliness has consistently remained in a poor state. The overall quality evolution of streets is most significantly influenced by five factors, and the influencing factors for different sub-dimensions vary across different periods. These research findings will help provide innovative support for the dynamic renewal of streets.
关键词：街道品质；时空演化；影响因素；分异特征；主客观结合；苏州历史城区
Keyword: street quality; spatiotemporal evolution; influencing factors; differentiation characteristics; subjective and objective evaluation; Suzhou Historic Urban Area
中图分类号：TU984
文献标识码: A
刘康宁. 价值重构视角下历史城区保护与更新
策略研究——以保定古城为例[J]. 城市发展研
究，2024，31（8）：55-65.
LIU Kangning. Research on the protection and
renewal strategies of historical urban areas from the
perspective of value reconstruction: a case study
of Baoding Ancient City[J]. Urban Development
Research, 2024, 31(8): 55-65.
张杨，何依. 由分立走向集成：历史城区体检评
估制度的建构理路——基于系统耦合理论[J].
城市规划学刊，2024（3）：82-90.
ZHANG Yang, HE Yi. From separation to integration: the construction path of the physical examination and evaluation system of historical urban areas -
based on system coupling theory[J]. Urban Planning
Forum, 2024(3): 82-90.
周俭，田银生，徐里格，等. 历史城区如何破境重
圆[J]. 城市规划，2023，47（11）：25-31.
ZHOU Jian, TIAN Yinsheng, XU Lige, et al. How
to restore the historical city district[J]. City Planning
Review, 2023, 47(11): 25-31.
易筱雅，何依，邓巍. 基于社区生活圈的历史城
区保护传承策略研究——以荆州古城为例[J].
中国园林，2025（3）：1-9.
YI Xiaoya, HE Yi, DENG Wei. Research on the
protection and inheritance strategy of historical
urban areas based on community living circles:
taking the ancient city of Jingzhou as an example[J].
Chinese Landscape Architecture, 2025(3): 1-9.
ZHANG L, WANG L, WU J, et al. Decoding urban
green spaces: deep learning and google street view
measure greening structures[J]. Urban Forestry &
Urban Greening, 2023, 87: 128028.
WU Z, XU K, LI Y, et al. Application of an integrated
model for analyzing street greenery through image
semantic segmentation and accessibility: a case study
of Nanjing City[J]. Forests, 2024, 15(3): 561.
朱隆斌，赵瑞寅. 基于机器学习和街景图像的历
史城区店招色彩量化研究——以苏州为例[J].
现代城市研究，2024（6）：120-150.
ZHU Longbin, ZHAO Ruiyin. Research on color
quantification of shop signs in historical urban
areas based on machine learning and street view
images: a case study of Suzhou[J]. Modern Urban
Studies, 2024(6): 120-125.
闵忠荣，丁帆. 基于百度热力图的街道活力时空
分布特征分析——以江西省南昌市历史城区为
例[J]. 城市发展研究，2020，27（2）：31-36.
MIN Zhongrong, DING Fan. Analysis of spatiotemporal distribution characteristics of street
vitality based on Baidu heat map: a case study of
the historical urban area of Nanchang City, Jiangxi
Province[J]. Urban Development Research, 2020,
27(2): 31-36.
林泽钊，李敏稚. 人群感知多维测度下的历史城
区街道空间研究——以广州西关地区为例[J].
南方建筑，2024（11）：41-49.
LIN Zezhao, LI Minzhi. Research on street space
in historical urban areas based on multidimensional
measurement of crowd perception: a case study of
Xiguan area in Guangzhou[J]. Southern Architecture,
2024(11): 41-49.
HE D, MIAO J, LU Y, et al. Urban greenery
mitigates the negative effect of urban density
on older adults’ life satisfaction: evidence from
Shanghai, China[J]. Cities, 2022, 124: 103607.
HUANG Z, TANG L, QIAO P, et al. Socioecological
justice in urban street greenery based on green view
index - a case study within the Fuzhou Third Ring
Road[J]. Urban Forestry & Urban Greening, 2024,
95: 128313.
MA S, WANG B, LIU W, et al. Assessment of street
space quality and subjective well-being mismatch
and its impact, using multi-source big data[J].
Cities, 2024, 147: 104797.
QIU W, ZHANG Z, LIU X, et al. Subjective or
objective measures of street environment, which
are more effective in explaining housing prices?[J].
Landscape and Urban Planning, 2022, 221: 104358.
翟洪雯. 多维关联视角下历史城区空间环境特
征的多尺度解析——以邹城历史城区为例[J].
现代城市研究，2025（1）：58-65.
ZHAI Hongwen. Multi-scale analysis of spatial
environmental characteristics of historical urban
areas from the perspective of multidimensional
correlation: a case study of Zoucheng historical urban
area[J]. Modern Urban Studies, 2025(1): 58-65.
LIANG X, ZHAO T, BILJECKI F. Revealing
spatio-temporal evolution of urban visual
environments with street view imagery[J]. Landscape and Urban Planning, 2023, 237: 104802.
XU J, WANG J, ZUO X, et al. Spatial quality
optimization analysis of streets in historical
urban areas based on street view perception and
multisource data[J]. Journal of Urban Planning and
Development, 2024, 150(4): 05024036.
樊钧，唐皓明，叶宇. 街道慢行品质的多维度评
价与导控策略——基于多源城市数据的整合分
析[J]. 规划师，2019，35（14）：5-11.
FAN Jun, TANG Haoming, YE Yu. Multi dimensional evaluation and guidance strategy for slow
traffic quality on streets: an integrated analysis
based on multi-source urban data[J]. Planners,
2019, 35(14): 5-11.
刘滨谊，杨轶伦. 城市街景动态环视旷奥度评价
[J]. 风景园林，2022，29（8）：64-70.
LIU Binyi, YANG Yilun. Evaluation of dynamic
panoramic spaciousness of urban streetscape[J].
Landscape Architecture, 2022, 29(8): 64-70.
江浩波，卢珊，肖扬. 基于街景技术的上海历史
文化风貌区城市色彩评价[J]. 城市规划学刊，
2022（3）：111-118.
JIANG Haobo, LU Shan, XIAO Yang. Urban
color evaluation method of Shanghai historical and
cultural areas based on street view technology[J].
Urban Planning Journal, 2022(3): 111-118.
胡一可，张龙浩，刘开鑫. 基于计算机视觉与街景
图像的城市街道绿化泛类结构量化分析与分布
机制研究[J]. 中国园林，2024，40（9）：22-28.
HU Yike, ZHANG Longhao, LIU Kaixin.
Quantitative analysis and distribution mechanism
of urban street greening based on computer vision
and street view images[J]. Chinese Landscape
Architecture, 2024, 40(9): 22-28.
段进，李伊格，兰文龙，等. 空间基因：传承中华
营城理念的城市设计路径——从苏州古城到雄
安新区[J]. 中国科学：技术科学，2023，53（5）：
693-703.
DUAN Jin, LI Yige, LAN Wenlong, et al. Spatial
gene: urban design path inheriting the concept
of Zhonghua Yingcheng - from Suzhou Ancient
City to Xiong’an New Area[J]. Chinese Science:
Technological Science, 2023, 53(5): 693-703
王建国. 中国城镇建筑遗产多尺度保护的几个
科学问题[J]. 城市规划，2022，46（6）：7-24.
WANG Jianguo. Several scientific issues on multi
scale protection of Chinese urban architectural
heritage[J]. City Planning Review, 2022, 46(6):
7-24.
LEI H, ZHOU Y. Conducting heritage tourism-led
urban renewal in Chinese historical and cultural
urban spaces: a case study of Datong[J]. Land,
2022, 11(12): 2122.
孙乾. 健康城市导向下的街道空间品质提升研
究——结合多维城市数据测度的分析[J]. 上海
城市规划，2024（5）：80-87.
SUN Qian. Research on the improvement of street
space quality under the guidance of healthy city:
analysis combined with multidimensional urban
data measurement[J]. Shanghai Urban Planning
Review, 2024(5): 80-87.
黄志强，李智轩，郎嵬. 基于多源大数据的街道
空间品质测度及其对街道活力的影响——以广
州历史城区为例[J]. 上海城市规划，2023（6）：
122-130.
HUANG Zhiqiang, LI Zhixuan, LANG Wei.
Measurement of street spatial quality based on
multi source big data and its impact on street
vitality: a case study of Guangzhou Historical
City[J]. Shanghai Urban Planning Review,
2023(6): 122-130.
贺慧，方宇星，张彤，等. 街道空间品质研究的当
下及未来——基于近10年国内外可视化文献的
计量分析[J]. 上海城市规划，2022（6）：73-81.
HE Hui, FANG Yuxing, ZHANG Tong, et al. The
current and future research on street space quality:
a quantitative analysis based on visualization
literature from domestic and foreign countries in
the past 10 years[J]. Shanghai Urban Planning
Review, 2022(6): 73-81.
SHAO Y, YIN Y, XUE Z, et al. Assessing and
comparing the visual comfort of streets across four
Chinese megacities using AI-based image analysis
and the perceptive evaluation method[J]. Land,
2023, 12(4): 834.
高巍，贾梦涵，赵玫，等. 街道空间研究进展与量
化测度方法综述[J]. 城市规划，2022，46（3）：
106-114.
GAO Wei, JIA Menghan, ZHAO Mei, et al. A review
of research progress and quantitative measurement
methods in street space[J]. City Planning Review,
2022, 46(3): 106-114.
CHENG X, LI J, PARKINSON C, et al. Virtual or
physical: how different types of urban streets affect
tourists’ restoration[J]. Current Issues in Tourism,
2025: 1-20.
XIE Q, HU L, WU J, et al. Investigating the
influencing factors of the perception experience
of historical commercial streets: a case study of
Guangzhou’s Beijing Road Pedestrian Street[J].
Buildings, 2024, 14(1): 138.
WEI Z, CAO K, KWAN M P, et al. Measuring the
age-friendliness of streets’ walking environment
using multi-source big data: a case study in
Shanghai, China[J]. Cities, 2024, 148: 104829.
戴锏，陈心朗，陈璐露，等. 基于视觉障碍人群需
求分析的生活性街道无障碍环境评价——以哈
尔滨历史城区为例[J]. 科技导报，2024，42（17）：
130-143.
DAI Jian, CHEN Xinlang, CHEN Lulu, et al.
Assessment of barrier free environment in living
streets based on analysis of the needs of visually
impaired people: a case study of Harbin Historical
City[J]. Science and Technology Guide, 2024,
42(17): 130-143.
杨震，李佳萱，刘昉，等. 城市体检背景下公共服
务设施全龄友好性评估与提升——以北京市展
览路街道为例[J]. 现代城市研究，2023（9）：
96-103.
YANG Zhen, LI Jiaxuan, LIU Fang, et al.
Evaluation and improvement of age friendliness
of public service facilities under the background
of urban physical examination: a case study of
Zhanzhan Road Street in Beijing[J]. Modern
Urban Research, 2023(9): 96-103.
HASLER D, SUESSTRUNK S E. Measuring
colorfulness in natural images[C]//Proceedings
of SPIE – The International Society for Optical
Engineering 5007, Human Vision and Electronic
Imaging VIII. 2003: 87-95.
顾康康，杨梦玲，敬瑶，等. 基于街景图像的城市
街道品质特征对住宅价格的影响研究——以合
肥市中心城区为例[J]. 地域研究与开发，2025，
44（1）：86-92.
GU Kangkang, YANG Mengling, JING Yao, et
al. Research on the impact of urban street quality
characteristics on residential prices based on street
view images: a case study of the central urban area
of Hefei[J]. Regional Research and Development,
2025, 44(1): 86-92.
郭馨，章逸萱，易生奥，等. 日常高频步行街道筛
选机制及其品质匹配度研究——以深圳市为例
[J]. 南方建筑，2023（7）：55-65.
GUO Xin, ZHANG Yixuan, YI Sheng’ao, et al.
Study on the screening mechanism and quality
matching degree of daily high-frequency pedestrian
streets: a case study of Shenzhen[J]. Southern
Architecture, 2023(7): 55-65.
龙瀛，唐婧娴. 城市街道空间品质大规模量化测
度研究进展[J]. 城市规划，2019，43（6）：107-
114.
LONG Ying, TANG Jingxian. Research progress
on large-scale quantitative measurement of urban
street space quality[J]. City Planning Review,
2019, 43(6): 107-114.
