Greenspace exposure is conducive to the resilience of public sentiment during the COVID-19 pandemic

Song, Liuyi; Zhang, An; Hu, Zhiwen

doi:10.1016/j.healthplace.2023.103096

Cited by 7 publications

(2 citation statements)

References 65 publications

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“…As the core factor in public psychology, scholars were pay more attention to research human perception and its influencing factors (Wood et al 2017). Previous studies have shown that the urban built environment not only affects human perception, but also related to physical and mental health (Mitchell et al 2013, Yang and Mu 2015, Song et al 2023. Therefore, a good urban built environment can promote the positive human perception (Morris 2003).…”

Section: Introductionmentioning

confidence: 99%

Measuring human perception of residential built environment through street view image and deep learning

Meng,

Sun,

Lyu

et al. 2024

Environ. Res. Commun.

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As an important part of the urban built environment, streets exploring the influence mechanism between the built environment and human perception. It is one of the issues in building healthy cities. In this study, the residential streets of Zhongshan Distict, Dalian were selected as the study site, including Mountain Low-rise Neighborhood, Old Mid-rise Neighborhood, and Modern High-rise Neighborhood. Meanwhile, spatial measurement and human perception perception evaluation of the street environment were based on Deep learning and street view image (SVI). The study used human perceptions as dependent variables, and physical features as the independent variables. Finally, two regression models of positive and negative perceptions were established to analyze the relationship between them. The results showed that in the three types of neighborhood, positive perception was mainly focused on Mountain Low-rise Neighborhood; Negative perception was mainly focused on Old Mid-rise Neighborhood. Greenness, Openness, Natural Landscape, Natural to artificial ratio of the horizontal interface, and Natural to artificial ratio of the vertical interface had a positive influence on positive perception. Pedestrian occurrence rate, Enclosure, and Vehicle Occurrence rate had a negative influence on negative emotive. Greenness was the physical feature that most affected human perception. This study provided a method for objectively evaluating the quality of the street built environment. It is important for promoting the quality of residential streets and public mental health.

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Section: Introductionmentioning

confidence: 99%

Measuring human perception of residential built environment through street view image and deep learning

Meng,

Sun,

Lyu

et al. 2024

Environ. Res. Commun.

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“…Geodetector, which is a powerful analytical tool, has been widely utilized for the comprehensive exploration of a broad range of geographic phenomena and their influencing factors. This tool has been applied across critical fields, such as environmental science [44,45], public health [46,47], resource management [48], and ecological risk assessment [49]. For instance, Geodetector facilitated assessments of nitrate contamination in the groundwater in California's Central Valley, identifying the principal factors contributing to this issue [50].…”

Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Distribution Characteristics and Influential Mechanisms of China’s Industrial Landscape Based on Geodetector

Yan,

Li,

Song

2024

Land

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The industrial landscape constitutes a crucial aspect of a region’s historical and cultural identity, serving as a valuable asset in the development of industrial tourism. Exploring the industrial landscape supports initiatives in industrial tourism, acts as a catalyst for community revitalization, and contributes to sustainable urban progress. The primary objective of this research was to investigate the spatial distribution characteristics and underlying determinants of China’s industrial landscape (CIL) to inform urban planning, cultural heritage preservation, and sustainable development initiatives. This study utilized analytical tools, such as the nearest neighbor index, geographic concentration index, and hot spot analysis, to comprehensively examine the spatial distribution of CIL. Additionally, Geodetector was employed to explore the correlating factors behind this distribution. The findings reveal the following: (1) CIL exhibited a pronounced agglomerative spatial pattern characterized by a high degree of concentration, significant disparities, and substantial spatial autocorrelation. (2) Over time, the agglomeration of CIL varied, intensifying initially and then diminishing, with the center of gravity of its distribution shifting eastward before subsequently moving westward in a directional trend resembling “northeast–southwest”. (3) There was a diverse array of industrial landscape types within China, with notable disparities in the prevalence of different categories. The manufacturing and transportation sectors boasted the highest number of heritage sites. (4) The distribution pattern of CIL was shaped by factors such as the level of economic development, socio-demographic conditions, transportation infrastructure, and cultural milieu. The interplay between these factors had a substantial impact on this distribution pattern.

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Wilderness beyond the natural: Mapping urban novel wilderness to support ecological conservation and recreational provision in rapidly urbanizing areas

Shen,

Zhai,

2025

Ecological Indicators

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Greenspace exposure is conducive to the resilience of public sentiment during the COVID-19 pandemic

Cited by 7 publications

References 65 publications

Measuring human perception of residential built environment through street view image and deep learning

Measuring human perception of residential built environment through street view image and deep learning

Spatial and Temporal Distribution Characteristics and Influential Mechanisms of China’s Industrial Landscape Based on Geodetector

Wilderness beyond the natural: Mapping urban novel wilderness to support ecological conservation and recreational provision in rapidly urbanizing areas

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