2022
Liu, Shaobo; Ji, Yifeng; Li, Jiang; Peng, You; Li, Zhitao; Lai, Wenbo; Feng, Tao
Analysis of students’ positive emotions around the green space in the university campus during the COVID-19 pandemic in China Journal Article
In: Frontiers in Public Health, 2022.
Abstract | Links | BibTeX | Tags: COVID-19, Health
@article{@FrontiersPublicHealthPengFeng,
title = {Analysis of students' positive emotions around the green space in the university campus during the COVID-19 pandemic in China},
author = {Shaobo Liu and Yifeng Ji and Jiang Li and You Peng and Zhitao Li and Wenbo Lai and Tao Feng},
url = {https://doi.org/10.3389/fpubh.2022.888295},
doi = {doi.org/10.3389/fpubh.2022.888295},
year = {2022},
date = {2022-08-09},
urldate = {2022-08-09},
journal = {Frontiers in Public Health},
abstract = {Green space around the university campus is of paramount importance for emotional and psychological restorations in students. Positive emotions in students can be aroused when immersed in green space and naturalness. However, to what extent can perceived naturalness influence students' positive emotion remains unclear, especially in the context of COVID-19 countermeasures. This study, therefore, attempts to investigate in-depth the nature and strength of the relationships between students' positive emotion and their perceived naturalness, place attachment, and landscape preference, which are potentially varying across universities in different social and environmental contexts and different restrictions policies regarding the COVID-19 pandemic. A course of questionnaire-based surveys was administered on two university campuses in Heilongjiang and Hunan Provinces, China, resulting in 474 effective samples. Structural equation modeling was used to explore the hypothetical conceptual framework of latent variables and the indicators. The findings indicate that the higher students' perceived naturalness results in greater positive emotion. Students' perceived naturalness in green spaces of campus has a positive effect on their place attachment and landscape preference. Moreover, the difference between mediate effects of place attachment and landscape preference were addressed, which verifies the contextual influences.},
keywords = {COVID-19, Health},
pubstate = {published},
tppubtype = {article}
}
Green space around the university campus is of paramount importance for emotional and psychological restorations in students. Positive emotions in students can be aroused when immersed in green space and naturalness. However, to what extent can perceived naturalness influence students’ positive emotion remains unclear, especially in the context of COVID-19 countermeasures. This study, therefore, attempts to investigate in-depth the nature and strength of the relationships between students’ positive emotion and their perceived naturalness, place attachment, and landscape preference, which are potentially varying across universities in different social and environmental contexts and different restrictions policies regarding the COVID-19 pandemic. A course of questionnaire-based surveys was administered on two university campuses in Heilongjiang and Hunan Provinces, China, resulting in 474 effective samples. Structural equation modeling was used to explore the hypothetical conceptual framework of latent variables and the indicators. The findings indicate that the higher students’ perceived naturalness results in greater positive emotion. Students’ perceived naturalness in green spaces of campus has a positive effect on their place attachment and landscape preference. Moreover, the difference between mediate effects of place attachment and landscape preference were addressed, which verifies the contextual influences.
2021
Li, B.; Peng, Y.; He, H.; Wang, M.; Feng, T.
Built environment and early infection of COVID-19 in urban districts: A case study of Huangzhou Journal Article
In: Sustainable Cities and Society, vol. 66, 2021, ISSN: 22106707.
Abstract | Links | BibTeX | Tags: Built environment, Commercial prosperity, COVID-19, DBSCAN, GIS, Medical service, SEM, Transportation infrastructure
@article{Li2021,
title = {Built environment and early infection of COVID-19 in urban districts: A case study of Huangzhou},
author = {B. Li and Y. Peng and H. He and M. Wang and T. Feng},
doi = {10.1016/j.scs.2020.102685},
issn = {22106707},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {Sustainable Cities and Society},
volume = {66},
abstract = {Since COVID-19 spread rapidly worldwide, many countries have experienced significant growth in the number of confirmed cases and deaths. Earlier studies have examined various factors that may contribute to the contagion rate of COVID-19, such as air pollution, smoking, humidity, and temperature. As there is a lack of studies at the neighborhood-level detailing the spatial settings of built environment attributes, this study explored the variations in the size of the COVID-19 confirmed case clusters across the urban district Huangzhou in the city of Huanggang. Clusters of infectious cases in the initial outbreak of COVID-19 were identified geographically through GIS methods. The hypothetic relationships between built environment attributes and clusters of COVID-19 cases have been investigated with the structural equation model. The results show the statistically significant direct and indirect influences of commercial vitality and transportation infrastructure on the number of confirmed cases in an infectious cluster. The clues ch inducing a high risk of contagions have been evidenced and provided for the decision-making practice responding to the initial stage of possible severe epidemics, indicating that the local public health authorities should implement sufficient measures and adopt effective interventions in the areas and places with a high probability of crowded residents.},
keywords = {Built environment, Commercial prosperity, COVID-19, DBSCAN, GIS, Medical service, SEM, Transportation infrastructure},
pubstate = {published},
tppubtype = {article}
}
Since COVID-19 spread rapidly worldwide, many countries have experienced significant growth in the number of confirmed cases and deaths. Earlier studies have examined various factors that may contribute to the contagion rate of COVID-19, such as air pollution, smoking, humidity, and temperature. As there is a lack of studies at the neighborhood-level detailing the spatial settings of built environment attributes, this study explored the variations in the size of the COVID-19 confirmed case clusters across the urban district Huangzhou in the city of Huanggang. Clusters of infectious cases in the initial outbreak of COVID-19 were identified geographically through GIS methods. The hypothetic relationships between built environment attributes and clusters of COVID-19 cases have been investigated with the structural equation model. The results show the statistically significant direct and indirect influences of commercial vitality and transportation infrastructure on the number of confirmed cases in an infectious cluster. The clues ch inducing a high risk of contagions have been evidenced and provided for the decision-making practice responding to the initial stage of possible severe epidemics, indicating that the local public health authorities should implement sufficient measures and adopt effective interventions in the areas and places with a high probability of crowded residents.