| 摘要: |
| 在城市健康街道及步行友好型街道建
设的人本视角下，街道空间的优化设计逐渐成
为城市规划研究的热点。绿视率作为街道可步
行性的评价要素之一，可以对步行者的心理产生
影响，同时，步行愉悦度可以用于描述步行者的
心理。研究通过对武汉市生活型、商业型、交通
型三类街道共9个样本进行比较分析，分析街道
步行空间绿视率与步行愉悦度的特征，以及二
者之间的关联。结果表明，街道步行空间的平均
绿视率与步行愉悦度呈显著正相关，当绿视率
达到0.142 5后，步行愉悦度为正，反之为负；街
道步行空间的绿视率标准差与步行愉悦度无显
著相关关系。最后以提升步行愉悦度为导向，针
对街道共性问题和不同类型街道的个性问题提
出街道步行空间绿化的具体建议，同时提出三
个方面的优化策略，以期提高街道步行空间绿
视率，提升步行愉悦度。研究为提升街道步行
空间绿视率及步行愉悦度提供了理论依据及策
略参考，对城市街道的人性化建设具有一定的
参考价值。 |
| 关键词: 街道步行空间 绿视率 步行愉悦度 街景图像 |
| DOI：10.13791/j.cnki.hsfwest.20230208 |
| 分类号: |
| 基金项目:国家自然科学基金项目（51978298） |
|
| A Study on the Relationship Between Green View and Walking Pleasure in Street WalkingSpace: An Empirical Comparison Based on Multiple Types of Streets in Wuhan |
|
GAO Xiang,DONG He xuan
|
| Abstract: |
| Street space is one of the important components of urban space and an important outdoor
space for urban residents’ social activities. With the revival of slow traffic, the advocacy of “low-
carbon travel”, and the proposal of healthy street strategies, the construction of street space has
received renewed attention. At the same time, the optimal design of street space has gradually
become a hot spot in urban planning research.
As one of the evaluation elements of street walkability, green view has an impact on the
psychology of pedestrians. And walking pleasure can be used to describe the psychological. The
green view data was obtained by analyzing street view images captured by cameras simulating the
perspective of pedestrians, and extracting the green part of the image. Factors influencing walking
pleasure were screened: safety, comfort, relaxation, attractiveness, and satisfaction. Then their
weights were determined by Delphi method: 0.109 7, 0.240 8, 0.271 8, 0.059 0, 0.318 6. In order
to ensure the diversity and representativeness of the samples, three types of streets were selected:
lifestyle streets, commercial streets, and traffic streets, with a total of 9 samples, located in Wuhan.
The seven-level Likert scale was chosen to allow subjects to rate the factors that affect walking
pleasure for each sample. Then the walking pleasure is obtained by calculation.
First, the characteristics of the green view and walking pleasure of samples are analyzed. The
evaluation of the characteristics of the green view of samples is divided into two parts: the average
value and the change rate. The results show: 1) Averages green view are in the range of 0.056 4-0.378
1, and the green view of lifestyle streets are relatively high. 2) By observing the change trend chart of
the green view, it is found that the three types of streets present different changing laws of the green
view. Standard deviations of green view are mostly concentrated in 0.08-0.12, the standard deviation
of the street green view has little correlation with the street type. 3) Generally, the higher the average
value of the green view, the larger the standard deviation of the green view, that is, the greater the
difference in the green view.4. Walking pleasure data range from -1.0732 to 0.8806.
Secondly, the relationship between the green view of the analysis sample and the walking
pleasure is analyzed by SPSS. The results show: 1) taking the average green view as the independent
variable and walking pleasure as the dependent variable, the regression estimation of the two is
carried out, and the optimal regression model is obtained: Y=-0.548+3.846X. The average green
view of the street pedestrian space is significantly positively correlated with the walking pleasure.
When the green view reaches 0.142 5, the walking pleasure is positive. 2) Among the influencing
factors of walking pleasure, the strongest correlation with the average green view is satisfaction,
followed by sense of security, relaxation, and comfort. And they are positively correlated. 3) There
is no significant correlation between the standard deviation of the green view of the street pedestrian
space and the walking pleasure. And different types of streets show different changes in green view.
The green view of street pedestrian space is also affected by the surrounding environment.
Thirdly, oriented to improve the walking pleasure, specific suggestions for greening thepedestrian space of the streets are put forward, aiming at the common problems of the streets and the individual problems of different types of streets.
At the same time, three optimization strategies are proposed: 1)when evaluating the greening level of urban streets, the “green view” can be used as a
supplementary indicator. Set the green view of not less than 0.15 as the minimum standard for street greening, and set the green view greater than or equal
to 0.25 as the “good” standard. 2) Build a multi-level plant configuration mode to increase the vertical layering of the plant landscape. 3) Create a variety of
street plant spaces through changes in planting methods, thereby enhancing the attractiveness of street pedestrian spaces.
The study explores the relationship between the green view of street pedestrian space and the walking pleasure, and it develops a fundamental
theoretical model that serves as a foundation for the best design of the pedestrian space on the street based on walking pleasure. At the same time, the
study proposes specific strategies to improve the green view of street pedestrian space, and provides references for building pedestrian-friendly streets and
humanized cities. |
| Key words: Street Pedestrian Space Green View Walking Pleasure Street View Image |
