Integrating restorative perception into urban street planning: A framework using street view images, deep learning, and space syntax

Wu, Yunfei; Liu, Qiqi; Hang, Tian; Yang, Yihong; Wang, Yijun; Cao, Lei

doi:10.1016/j.cities.2024.104791

Cited by 13 publications

(5 citation statements)

References 82 publications

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“…Finally, there are personal factors, such as age, gender, health or attitude, which also contribute to the perception of lighting [44].…”

Section: Factors Impacting People Under Public Lighting: Identificati...mentioning

confidence: 99%

The Basic Process of Lighting as Key Factor in the Transition towards More Sustainable Urban Environments

Peña-García,

Castillo-Martínez,

Ernst

2024

Sustainability

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The design of lighting installations on roads and urban infrastructure has strictly followed the regulatory requirements of each country for a long time. Based on the traffic intensity, the presence of pedestrians and the nature of activities within the area, these regulations have been used to establish the luminance or illuminance levels from or on the pavement, the minimum average uniformity, the maximum glare and the minimum energy efficiency. Accurate values of these static parameters are supposed to ensure safety, security, and efficacy, and have traditionally been considered as the main targets of lighting installations. Therefore, compliance with these regulations indicates whether an installation is legal or not. Although this philosophy is operative, the reality is different due to two main issues. First, the progressive ageing of populations, mainly in North America and Europe, the changing circumstances of traffic flow and modalities and the presence of groves or socioeconomic factors, might have a strong impact on the safety, security and sustainability of cities. Secondly, the current regulations leave out perceived safety and security issues, as well as the well-being of people; that is, how people feel about the city independently of real danger. In this research, the Basic Process of Lighting (BPL) is formulated including, for the first time, the human factors involved when people develop their activities under public lighting. Using this framework, the potential factors influencing human wellbeing and feelings are summarized after being rated by people in a survey distributed among 133 participants. The results highlight a higher perceived impact of social factors compared to physical and visual ones.

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“…Finally, there are personal factors, such as age, gender, health or attitude, which also contribute to the perception of lighting [44].…”

Section: Factors Impacting People Under Public Lighting: Identificati...mentioning

confidence: 99%

The Basic Process of Lighting as Key Factor in the Transition towards More Sustainable Urban Environments

Peña-García,

Castillo-Martínez,

Ernst

2024

Sustainability

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“…Using space syntax theory can help urban planners and managers better identify the most active areas in the street and compare street quality. For example, Wu et al [28] combined deep learning with space syntax theory to provide more accurate and practical information for urban streets' restorative perception. In addition, the space syntax theory has been applied to commercial district planning to improve space utilization and economic efficiency.…”

Section: Quantifying Accessibility In the Urban Street Using Space Sy...mentioning

confidence: 99%

“…An image semantic segmentation neural network model was constructed using Python's TensorFlow framework to fully segment BSVIs and extract street perception metrics. In addition, we used the space syntax method to process the urban street network to measure the pedestrian accessibility of each street with a 500 m accessibility radius (the average daily travel distance for urban residents in first-and second-tier cities in China was approximately 500 m) [28,29]. The top 20% of streets with the highest accessibility scores are designated as highest accessibility streets [12].…”

Section: Study Areamentioning

confidence: 99%

“…To simulate the natural feeling of a human in the street space, we set the vertical angle (Pitch) at 20 • and camera angles (FOV) at 0 • , 90 • , 180 • , and 270 • [28]. For each sampling point, we created a 360 • panoramic street image by stitching together views from these four images (0-90 • , 90-180 • , 180-270 • , and 270-360 • ).…”

Section: Data Collection and Processingmentioning

confidence: 99%

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Evaluating and Comparing Human Perceptions of Streets in Two Megacities by Integrating Street-View Images, Deep Learning, and Space Syntax

Lei,

Zhou,

Xue

et al. 2024

Buildings

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Street quality plays a crucial role in promoting urban development. There is still no consensus on how to quantify human street quality perception on a large scale or explore the relationship between street quality and street composition elements. This study investigates a new approach for evaluating and comparing street quality perception and accessibility in Shanghai and Chengdu, two megacities with distinct geographic characteristics, using street-view images, deep learning, and space syntax. The result indicates significant differences in street quality perception between Shanghai and Chengdu. In Chengdu, there is a curvilinear distribution of the highest positive perceptions along the riverfront space and a radioactive spatial distribution of the highest negative perceptions along the ring road and main roads. Shanghai displays a fragmented cross-aggregation and polycentric distribution of the streets with the highest positive and negative perceptions. Thus, it is reasonable to hypothesize that street quality perception closely correlates with the urban planning and construction process of streets. Moreover, we used multiple linear regression to explain the relationship between street quality perception and street elements. The results show that buildings in Shanghai and trees, pavement, and grass in Chengdu were positively associated with positive perceptions. Walls in both Shanghai and Chengdu show a consistent positive correlation with negative perceptions and a consistent negative correlation with other positive perceptions, and are most likely to contribute to the perception of low street quality. Ceilings were positively associated with negative perceptions in Shanghai but are not the major street elements in Chengdu, while the grass is the opposite of the above results. Our research can provide a cost-effective and rapid solution for large-scale, highly detailed urban street quality perception assessments to inform human-scale urban planning.

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“…As a critical evaluation tool, space syntax focuses on aspects such as accessibility, connectivity, and choice. It quantifies the distribution of services in public spaces and enhances their vitality and functionality by improving spatial distribution [31][32][33]. The theory of space syntax establishes a measurable relationship between spatial configuration and potential coexistence patterns on an abstract level [34].…”

Section: Introductionmentioning

confidence: 99%

Research on Publicness Evaluation and Behavioral Characteristics in Traditional Villages—A Case Study of Chongqing Hewan Village

Xiao,

Qian,

Chen

et al. 2024

Buildings

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(1) Background: Public space is an important carrier for maintaining the cultural values of a village and the production and living customs of the villagers, but the use rights and boundaries are in an unstable and ambiguous state, and it is not a completely open and inclusive public space. The study aims to deepen the understanding of the publicness of public space in traditional villages from the perspective of subjective and objective combination, which reveals the relationship between the space and villagers’ behavior. (2) Methods: The research established an evaluation framework for assessing the “publicness” of public spaces in traditional villages by integrating space syntax and cognitive surveys. This framework facilitates the analysis of the extent and dimensions of publicness, along with corresponding behavioral patterns, and explores the underlying mechanisms influencing publicness. (3) Results: The study reveals significant variations in the publicness of traditional village spaces. High-publicness areas tend to cluster, whereas low-publicness areas are more scattered, and riverfront regions exhibit greater publicness compared to mountain-adjacent ones. Villagers exhibit notable differences in their evaluations of public spaces, and individuals aged 14–18 and those over 66 rate the highest. The utilization rate of high-publicness spaces is significantly high, catering to a diverse array of activities. In spaces with lower publicness, the duration and variety of activities tend to be more constrained, often limited to rapid exchanges or brief respites, exhibiting a narrower scope of activities. (4) Conclusions: The study underscores the variability and complexity of publicness in traditional village spaces, which manifest not only in spatial layouts and types but also in villagers’ usage patterns and behavioral preferences. This may be influenced by objective factors such as spatial accessibility, social interaction, and richness of cultural activities.

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Integrating restorative perception into urban street planning: A framework using street view images, deep learning, and space syntax

Cited by 13 publications

References 82 publications

The Basic Process of Lighting as Key Factor in the Transition towards More Sustainable Urban Environments

The Basic Process of Lighting as Key Factor in the Transition towards More Sustainable Urban Environments

Evaluating and Comparing Human Perceptions of Streets in Two Megacities by Integrating Street-View Images, Deep Learning, and Space Syntax

Research on Publicness Evaluation and Behavioral Characteristics in Traditional Villages—A Case Study of Chongqing Hewan Village

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