Article
Environmental Studies
Yuyang Zhang, Qilin Wu, Lei Wu, Yan Li
Summary: Green spaces exposure is beneficial for the physical and mental health of community residents, but the spatial distribution of green space is often inequitable. This study proposed a methodology to assess community green equity using metrics in morphology, visibility, and accessibility categories, which revealed large differences and complementarities between different categories of metrics, while similarities exist within the same category. The findings can guide decision makers and urban green designers in creating and maintaining more equitable community green spaces, and can be combined with other studies for more comprehensive conclusions in the future.
Article
Plant Sciences
Longhao Zhang, Lei Wang, Jun Wu, Pengbo Li, Jiali Dong, Tianrun Wang
Summary: This study proposes a method based on semantic segmentation of panoramic street images to evaluate the structure of urban street greenery. By constructing a new street view dataset and training the system using a deep learning model, the proposed method can accurately visualize the greening structure at the urban street level. The findings indicate that this method offers a valuable tool for urban planners and policymakers to assess the ecological quality of urban areas.
URBAN FORESTRY & URBAN GREENING
(2023)
Article
Biodiversity Conservation
Quanquan Rui, Huishan Cheng
Summary: With the progress of global urbanization, urban streetscapes have become a crucial part of urban public spaces. However, certain issues, such as excessive focus on surface and light protection, still exist in the construction of urban streetscapes. This study proposes a method that combines deep learning and machine learning to quantify the spatial quality of urban streets by integrating a large number of streetscape images. The evaluation of street landscape quality in the main urban area of Fuzhou City showed high overall quality with a pattern of concentrated high values in the center and dispersed high values in the periphery. Based on the quantification of spatial quality, strategies such as pavement layout and visual landscape element control should be regulated to improve the construction of cities.
ECOLOGICAL INDICATORS
(2023)
Article
Construction & Building Technology
Yao Sun, Dongwei Tian, Man Zhang, Yue Hou
Summary: Green space in urban areas is critical for residents' well-being. This study examines the accessibility of green space in Hongkou District and its relationship with green space level, surrounding green space, and population density. The findings suggest that green space accessibility decreases with a decrease in green space level, is influenced by surrounding large green spaces, and is impacted by the mismatch between population density and green space. Recommendations for optimizing green space layout are proposed to promote equalization of green space services and improve the quality of the urban living environment.
Article
Plant Sciences
Wen Wu, Tianhao Zheng
Summary: As an important part of the urban environment, urban green space (UGS) plays a crucial role in maintaining the balance of urban ecosystems and biodiversity. The study proposes a dynamic two-step floating catchment area method (D2SFCA) based on the Baidu heatmap and direction application programming interface to assess UGS accessibility in the first-ring built-up area of Shenyang, China. The results show that the D2SFCA method is more suitable for assessing accessibility and identifying specific areas that lack UGS.
URBAN FORESTRY & URBAN GREENING
(2023)
Article
Computer Science, Interdisciplinary Applications
Yingjing Huang, Fan Zhang, Yong Gao, Wei Tu, Fabio Duarte, Carlo Ratti, Diansheng Guo, Yu Liu
Summary: This study proposes a deep learning-based module called Vision-LSTM, which can obtain vector representation from varying numbers of street-level images. The module is validated to effectively recognize urban villages by combining street-level imagery with remote sensing imagery and social sensing data. Compared to existing image fusion methods, Vision-LSTM demonstrates significant effectiveness in capturing associations between street-level images.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2023)
Article
Environmental Studies
Luis A. Guzman, Daniel Oviedo, Julian Arellana, Victor Cantillo-Garcia
Summary: In dense cities, private vehicles have a negative impact on transport justice, and the unfair distribution of street space poses significant challenges to sustainable transport. The study reveals a bias towards providing space for private motorization, highlighting the need for a more equitable distribution of public space.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Environmental Sciences
Ruoyu Wang, Wenjie Wu, Yao Yao, Wenxuan Tan
Summary: This study develops a new and systematic framework to assess potential disparities in quality and quantity aspects of visible green space provision around subway stations. The results show that there are disparities in visible green space provision around subway stations, but such disparities tend to fade with distance away from stations. Population density, land use mix, intersection density, and bus stop density are significantly associated with quantity and quality aspects of visible green space provision around subway stations.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Computer Science, Interdisciplinary Applications
Zhen Xu, Furong Zhang, Yingying Wu, Yajun Yang, Yuan Wu
Summary: This paper proposes a novel method for calculating building heights in urban areas based on street view images and a deep learning model called Mask R-CNN. The method utilizes a spider of street view maps and a genetic algorithm to optimize the observation locations and obtain the street view images of all buildings with minimal downloads. A deep learning workflow based on Mask R-CNN is then designed to detect buildings from the panorama images. A height calculation model considering repeated detection of buildings is developed by mapping between the detected buildings and actual buildings. Case studies demonstrate high precision and efficiency of the proposed method in calculating building heights in urban areas.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Tianhong Zhao, Xiucheng Liang, Wei Tu, Zhengdong Huang, Filip Biljecki
Summary: Based on machine learning, a new application of street view imagery is introduced to estimate large-area high-resolution urban soundscapes. This approach enables low-cost but accurate and detailed sensing of urban soundscapes, providing an alternative means to generate soundscape maps.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2023)
Article
Computer Science, Interdisciplinary Applications
Jiahao Zhang, Anqi Hu
Summary: Analyzing and studying street-level greenery is crucial for urban landscape research as it enhances understanding of a city's greenery and contributes to better urban living environment planning and design. Using Google street view imagery and semantic segmentation, this study analyzed the green view index (GVI) of Osaka City, calculated the GVI best path, and visualized and integrated neighborhood urban greenery.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2022)
Article
Plant Sciences
Tetsuya Aikoh, Riko Homma, Yoshiki Abe
Summary: Urban greenery has positive effects on mental well-being. The green view index (GVI) is a suitable measure of urban greening and can be calculated using Google Street View (GSV) photos and automatic image segmentation. However, automatic image segmentation may not accurately identify all vegetation and the year of GSV photos, and the distance to greenery may be biased depending on the street location.
URBAN FORESTRY & URBAN GREENING
(2023)
Article
Engineering, Multidisciplinary
Dheah Hameed Basee, Zina Riadh Abdulla
Summary: This study explores the transformed and disconnected urban morphology of the traditional organic city in the Al-Karkh area of Baghdad through space syntax evaluation and analysis. The results show that the modern alterations have weakened the bonds within the urban structure, resulting in a decrease in the activity and vitality of traditional alleys, streets, and squares. However, the area has shown rapid adaptation to the forced transformation due to the flexibility of its traditional form.
AIN SHAMS ENGINEERING JOURNAL
(2022)
Article
Economics
Chuanyao Li, Junren Wang
Summary: This study proposes a new hierarchical two-step floating catchment area method based on the conventional enhanced two-step floating catchment area method, to analyze the accessibility to medical facilities in urban agglomerations. The research findings suggest the need for a new method to evaluate the accessibility to high-level medical facilities in urban agglomerations, as the healthcare accessibility in the core city is overestimated due to the ignorance of intensive competition between potential demands, and residents' medical preference has various impacts on healthcare accessibility in different regions.
JOURNAL OF TRANSPORT GEOGRAPHY
(2022)
Article
Geography
Jingjia Chen, Long Chen, Yan Li, Wenjia Zhang, Ying Long
Summary: This article proposes an approach using street view images and deep learning models to quantitatively measure physical disorder in urban street spaces. The effectiveness and efficiency of this method are validated through a large-scale empirical analysis in Chinese cities. Additionally, the article expands the factors of physical disorder and identifies typical spatial distribution patterns, providing insights for understanding the development trends of physical disorder and making interventions.
ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS
(2023)
Article
Construction & Building Technology
Qingsong He, Chen Zeng, Peng Xie, Shukui Tan, Jiayu Wu
SUSTAINABLE CITIES AND SOCIETY
(2019)
Article
Ecology
Binhui Wang, Tiantian Xu, Hei Gao, Na Ta, Yanwei Chai, Jiayu Wu
Summary: This study measures residents' static and dynamic green exposure in different geographical contexts to examine the disparity in dynamic green exposure. The results show that satisfactory green spaces can increase dynamic green exposure, while differences in community greenness can polarize dynamic green exposure.
LANDSCAPE AND URBAN PLANNING
(2021)
Article
Environmental Studies
Na Ta, Hong Li, Yanwei Chai, Jiayu Wu
Summary: Research indicates that contact with green spaces during travel increases individuals' satisfaction with travel, and the impact of green space exposure on travel satisfaction varies depending on travel mode, duration, and purpose.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Urban Studies
Jiayu Wu, Yisong Peng, Ping Liu, Yubing Weng, Jian Lin
Summary: The study finds that evaluating the inequality in the quantity of urban green space may lead to an overestimation of real inequality, while other functional advantages can offset the quantitative disadvantages. The government can alleviate green inequality through interventions to improve quality and enhance residents' transportation capacity.
Article
Geography
Jiayu Wu, Binhui Wang, Na Ta, Yanwei Chai
Summary: This study demonstrates the existence of NEPP in green exposure and reveals another form of neighborhood health effect bias and potentially more serious environmental justice problems that exist in the travel environment.
ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS
(2023)
Article
Environmental Studies
Linzi Zheng, Ke Chen, Shukui Tan, Chaohui Yin, Qingsong He, Jiayu Wu
Summary: The study reveals that in Chinese cities, compact cities have a positive impact on quality of place, but this effect may be attenuated by policy shocks. Cities located in economically backward areas of the west experience the most significant positive effects from compact cities.
Article
Development Studies
Yingxue Rao, Jiang Zhou, Min Zhou, Qingsong He, Jiayu Wu
Article
Urban Studies
Qingsong He, Jiang Zhou, Shukui Tan, Yan Song, Lu Zhang, Yanchuan Mou, Jiayu Wu
Article
Urban Studies
Jiayu Wu, Qi Guo, Geoffrey J. D. Hewings
Article
Environmental Studies
Qingsong He, Min Xu, Zike Xu, Yanmei Ye, Xianfan Shu, Peng Xie, Jiayu Wu
Article
Environmental Studies
Yingjie Hu, Bin Lu, Jiayu Wu
Article
Geosciences, Multidisciplinary
Weitao Zhang, Jiayu Wu, Yingxia Yun
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2019)
Article
Urban Studies
Jiayu Wu, Yingjie Hu, Qingxi Wang, Yunwen Chen, Qingsong He, Na Ta
Article
Computer Science, Interdisciplinary Applications
Jiayu Wu, Shantong Wang, Yang Zhang, Anqi Zhang, Chang Xia
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2019)
