Roadside Vehicle Particulate Vertical Dispersion Model for Friction Course Materials: A Case of Hong Kong DOI Open Access
Kai Long Mak,

Wai-Keung Anthony Loh,

Chun-Kit Wilson Kwan

и другие.

Trends in Applied Sciences Research, Год журнала: 2024, Номер 19(1), С. 170 - 179

Опубликована: Июль 30, 2024

Background and Objective:The rapid urban development has caused various pollution in Hong Kong.However, the current measures adopted are aimed at controlling surface level emission, while vertical dispersion of pollutants is less investigated.This research project aims to identify patterns particulate matter noise emitted from road traffic their decay rates with increasing distance source examine possible correlation between frequency levels vehicle-emitted particulate.Materials Methods: Three sets equipment have been installed three different heights on building facades perpendicular surface, facing monitor PM concentrations (PM 1 , 2.5 4.25 10 ), frequencies other environmental data namely temperature, relative humidity wind speed.Results: The study anticipates uncovering a positive relationship vehicular emissions traffic-related lower floors, specifically an 800 Hz frequency.Analysis three-dimensional plots indicates that pollutant highest levels.Notably, demonstrate relatively high R-squared values = 0.674, 0.649 0.538), indicating satisfactory fit these models data.Conclusion: By highlighting often-overlooked transmission vehicles, this contributes deeper understanding air high-rise environments.These insights hold potential inform future planning initiatives enhancing public health outcomes.

Язык: Английский

Investigating consistent effects of the urban built environment and human mobility on COVID-19 outbreaks: A comprehensive meta-analysis DOI
Mijin Choo, Hyewon Yoon, Dong Keun Yoon

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 102, С. 105226 - 105226

Опубликована: Янв. 21, 2024

Язык: Английский

Процитировано

9

Changes in visitor behaviour across COVID-19 pandemic: Unveiling urban visitation dynamics and non-linear relationships with the built environment using mobile big data DOI Creative Commons

Lang Yuan,

Kojiro Sho, Sunyong Eom

и другие.

Habitat International, Год журнала: 2024, Номер 154, С. 103216 - 103216

Опубликована: Ноя. 5, 2024

Язык: Английский

Процитировано

5

The State of the Art in Visual Analytics for 3D Urban Data DOI Creative Commons
Fábio Miranda, Thomas Ortner, Gustavo Moreira

и другие.

Computer Graphics Forum, Год журнала: 2024, Номер 43(3)

Опубликована: Июнь 1, 2024

Abstract Urbanization has amplified the importance of three‐dimensional structures in urban environments for a wide range phenomena that are significant interest to diverse stakeholders. With growing availability 3D data, numerous studies have focused on developing visual analysis techniques tailored unique characteristics environments. However, incorporating third dimension into analytics introduces additional challenges designing effective tools tackle data's complexities. In this paper, we present survey data. Our work characterizes published works along three main dimensions ( why, what , and how ), considering use cases, tasks, visualizations, interactions. We provide fine‐grained categorization from visualization journals conferences, as well myriad domains, including planning, architecture, engineering. By perspectives both experts, identify literature gaps, motivate researchers understand opportunities, indicate future research directions.

Язык: Английский

Процитировано

4

The impact of urban spatial environment on COVID-19: a case study in Beijing DOI Creative Commons
Zhen Yang, Jiaxuan Li, Yu Li

и другие.

Frontiers in Public Health, Год журнала: 2024, Номер 11

Опубликована: Янв. 8, 2024

Epidemics are dangerous and difficult to prevent control, especially in urban areas. Clarifying the correlation between COVID-19 Outbreak Frequency spatial environment may help improve cities’ ability respond such public health emergencies. In this study, we firstly analyzed distribution characteristics of by correlating geographic locations epidemic-affected neighborhoods city Beijing with time point onset. Secondly, created a geographically weighted regression model combining external environmental elements city. Thirdly, different grades study area were classified according clustering analysis results. Finally, internal was investigated using binomial logistic model. The yielded following (i) Epidemic outbreak frequency evidently correlated environment, among building density, volume ratio, density commercial facilities, service transportation facilities positively Frequency, while water greenery coverage negatively it. (ii) differed. House price number households low-end neighborhoods, mid-end neighborhoods. order achieve justice, society should strive address inequality phenomena income gaps residential differentiation, promote fair environments.

Язык: Английский

Процитировано

3

Pathogenic built environment? Reflections on modeling spatial determinants of health in urban settings considering the example of COVID-19 studies DOI Creative Commons
Tobia Lakes,

Tillman Schmitz,

Henning Füller

и другие.

Frontiers in Public Health, Год журнала: 2025, Номер 13

Опубликована: Март 17, 2025

The triad of host, agent, and environment has become a widely accepted framework for understanding infectious diseases human health. While modern medicine traditionally focused on the individual, there is renewed interest in role environment. Recent studies have shifted from an early-twentieth-century emphasis individual factors to broader consideration contextual factors, including environmental, climatic, social settings as spatial determinants This focus been particularly relevant context COVID-19 pandemic, where built urban increasingly recognized crucial factor influencing disease transmission. However, operationalizing complexity associations between health empirical analyses presents significant challenges. study aims identify key caveats operationalization analysis proposes guiding principles future research. We how was studied recent literature COVID-19. Based set criteria, we analyze 23 explicit implicit assumptions regarding health-related dimensions Our findings highlight complexities potential pitfalls, referred 'spatial trap,' current approaches epidemiology concerning conclude with recommendations questions avoid falsely attributing impact outcomes clarify dimensions.

Язык: Английский

Процитировано

0

Dynamic Integration of Shading and Ventilation: Novel Quantitative Insights into Building Performance Optimization DOI Creative Commons
Silvia Mazzetto

Buildings, Год журнала: 2025, Номер 15(7), С. 1123 - 1123

Опубликована: Март 30, 2025

Buildings consume nearly 40% of global energy, necessitating innovative strategies to balance energy efficiency and occupant comfort. While shading ventilation are critical sustainable design, they often studied independently, leaving gaps in understanding their combined potential. This study provides a novel quantitative analysis dynamic strategies, using dataset 5000 simulations IDA Indoor Climate Energy (IDA ICE) reveal the synergies trade-offs building performance. Four distinct scenarios analyzed: minimal limited (shading factor Sf = 0.0, ACH 0.5), optimized moderate (Sf 0.5, 1.5), enhanced dynamically adjusted, 2.5), high with maximum 1.0, 3.0). The results show progressive reduction thermal discomfort, predicted percentage dissatisfied (PPD) decreasing from >80% first scenario ~25% ~15% scenario. demand increases by up highest scenario, highlighting trade-offs. These findings underscore importance integrating ventilation, providing actionable recommendations such as night cooling that can reduce discomfort improve 30%. By bridging research gaps, this advances design offers robust framework for creating energy-efficient, comfortable buildings.

Язык: Английский

Процитировано

0

Spatial Spillover Effects of Urban Gray–Green Space Form on COVID-19 Pandemic in China DOI Creative Commons
Tingting Kang,

Yangyang Jiang,

Chuansheng Yang

и другие.

Land, Год журнала: 2025, Номер 14(4), С. 896 - 896

Опубликована: Апрель 18, 2025

Although the immediate impact of COVID-19 pandemic has been alleviated, its long-term effects continue to shape global health and public safety. Policymakers should prepare for potential future crises direct urban planning toward more sustainable outcomes. While numerous studies have examined factors influencing risk COVID-19, few investigated spatial spillover form green space. In this study, we quantified using landscape pattern indices, represented population mobility with Baidu Migration Scale Index, assessed role key on epidemic through STIRPAT Durbin models. Our findings reveal that migration from Wuhan had a significant local spread COVID-19. These not only intensified transmission, but also triggered positive effects, spreading virus neighboring regions. We found space connectivity (pc5) plays crucial in reducing virus, both locally surrounding areas. High helps mitigate disease transmission during an epidemic. contrast, configuration unipolarity areas (pc1) contributed increased cities. Ultimately, balancing building density distribution is essential enhancing resilience. This research provides new insights into us understand gray–green forms

Язык: Английский

Процитировано

0

High-Density Communities and Infectious Disease Vulnerability: A Built Environment Perspective for Sustainable Health Development DOI Creative Commons
Yue Hu,

Ziyi Lin,

Sheng Jiao

и другие.

Buildings, Год журнала: 2023, Номер 14(1), С. 103 - 103

Опубликована: Дек. 30, 2023

High-density communities have proliferated globally during rapid urbanization. They are characterized by a high population density and limited per capita public spaces, making them susceptible to infectious disease risks. The impact of diseases in these communities, as evident the COVID-19 pandemic, underscores their vulnerabilities. Yet, research on prevention high-density areas remains limited. This study aims investigate relationship between built environment transmission urban with particular focus lessons learned pandemic. Utilizing Shenzhen city case study, this collected data epidemic trends involved generalized linear regression analysis, aiming understand key factors that affect spread areas. results from revealed experience higher rates compared medium- low-density counterparts. significant identified include land use mixture walkability, showing most substantial infection rates. Through combination qualitative analysis empirical research, we constructed conceptual framework linking containment measures, non-pharmaceutical interventions, environment. findings emphasize significance health development offer valuable insights for tailored planning design. These crucial promoting healthy sustainable transformation existing communities.

Язык: Английский

Процитировано

7

Architectural design and epidemic prevalence: Insights from Hong Kong's fifth wave DOI
Qingyao Qiao, Chinmoy Sarkar, Eric Schuldenfrei

и другие.

Building and Environment, Год журнала: 2024, Номер 256, С. 111516 - 111516

Опубликована: Апрель 10, 2024

Язык: Английский

Процитировано

2

Shaping school for childhood myopia: the association between floor area ratio of school environment and myopia in China DOI

Danqi Zeng,

Yahan Yang, Yang Tang

и другие.

British Journal of Ophthalmology, Год журнала: 2024, Номер unknown, С. bjo - 325448

Опубликована: Июль 2, 2024

Aim To investigate the association of floor area ratio (FAR), an indicator built environments, and myopia onset. Methods This prospective cohort study recruited 136 753 children aged 6–10 years from 108 schools in Shenzhen, China at baseline (2016–2017). Refractive power was measured with non-cycloplegic autorefraction over a 2-year follow-up period. FAR objectively evaluated using geographical information system technology. Mixed-effects logistic regression models were constructed to examine cumulative incidence among individuals without myopia; multiple linear model, rate each school. Results Of 101 624 non-myopic (56.3% boys; mean (SE) age, 7.657±1.182 years) included study, 26 391 (26.0%) them developed after 2 years. In individual-level analysis adjusting for demographic, socioeconomic greenness factors, IQR associated decreased risk (OR 0.898, 95% CI 0.866 0.932, p<0.001). Similar findings observed additionally adjusted genetic behavioural factors 0.821, 0.766 0.880, school-level, increase found be 2.0% reduction (95% 1.3% 2.6%, Conclusions Exposure higher incidence, providing insights into prevention through school environments China.

Язык: Английский

Процитировано

2