Mitigating urban heat and air pollution considering green and transportation infrastructure

Wang, Aijia; Wang, Junqi; Zhang, Ruijun; Cao, Shi-Jie

doi:10.1016/j.tra.2024.104079

Cited by 3 publications

(2 citation statements)

References 110 publications

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“…Additionally, the influence of the durables sector on the UHI effect was more pronounced in large cities, with β decreasing from 0.16 in first-tier cities to 0.13 in smaller cities. Thus, the wider array of consumer choices available in larger cities not only spurs urban consumption but also increases the potential for mobile heat sources within the city, thereby exacerbating the UHI effect …”

Section: Discussionsupporting

confidence: 85%

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Uncovering the Nexus between Urban Heat Islands and Material Stocks of Built Environment in 335 Chinese Cities

Sun,

Liu,

Xia

et al. 2024

Environ. Sci. Technol.

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China's unprecedented rapid urbanization has dramatically reshaped the urban built environment, disrupting the thermal balance of cities. This disruption causes the urban heat island (UHI) effect, adversely affecting urban sustainability and public health. Although studies have highlighted the remarkable impacts of the built environment on UHIs, the specific effects of its various structures and components remain unclear. In this study, a multidimensional remote sensing data set was used to quantify the atmospheric UHIs across 335 Chinese cities from 1980 to 2020. In conjunction with stocks of three end-use sectors and three material groups, the impacts of gridded material stocks on UHI variations were analyzed. The findings reveal that building stocks exert a predominant influence in 48% of cities. Additionally, the extensive use of metal and inorganic materials has increased thermal stress in 220 cities, leading to an average UHI increase of 0.54 °C. The effect of organic materials, primarily arising from mobile heat sources, is continuously increasing. Overall, this study elucidates the effect of the functional structure and material composition of urban landscapes on UHIs, highlighting the complexities associated with the influence of the built environment on the urban heat load.

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Section: Discussionsupporting

confidence: 85%

“…Thus, the wider array of consumer choices available in larger cities not only spurs urban consumption but also increases the potential for mobile heat sources within the city, thereby exacerbating the UHI effect. 63 4.2. Examining the UHI Effect from a Material Perspective.…”

Section: Discussionmentioning

confidence: 99%

Uncovering the Nexus between Urban Heat Islands and Material Stocks of Built Environment in 335 Chinese Cities

Sun,

Liu,

Xia

et al. 2024

Environ. Sci. Technol.

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Mitigating Urban Heat Islands Using Green Roof Technology

Lukinov,

Kumar,

Venkateswara Reddy

et al. 2024

E3S Web Conf.

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Urban Heat Islands (UHIs) are a growing concern in metropolitan areas due to the concentration of infrastructure, reduced vegetation, and increased human activities. The UHI effect results in higher temperatures in urban areas compared to rural surroundings, contributing to adverse environmental and health impacts. One of the promising mitigation strategies is the implementation of green roof technology. This paper investigates the potential of green roofs in reducing UHI effects by analyzing their thermal performance, vegetation characteristics, and energy savings. An experimental study was conducted on two types of green roofs: extensive and intensive, across three cities with varied climatic conditions. Results showed that green roofs could reduce the surface temperature by up to 5°C, resulting in significant reductions in building cooling demands. The study concludes that green roofs, particularly extensive systems, offer a viable solution for UHI mitigation while providing additional ecological and economic benefits.

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Energy-Efficient Urban Transportation Planning using Traffic Flow Optimization

Khandelwal,

Karuna,

Reddy

et al. 2024

E3S Web Conf.

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This study examines how predictive analytics and the IoT might improve sustainable urban transportation systems. Using IoT device data, this study will explore how predictive analytics and IoT integration alter urban transportation. The data covers vehicle speed, traffic density, AQI, and weather. The research estimates traffic congestion, AQI, and volume using predictive modeling. This assesses prediction accuracy and data match. Unfavorable weather increases congestion, whereas traffic density decreases vehicle speed. Predictive methods accurately estimate congestion and air quality, but traffic volume is more difficult. The algorithms' accuracy in anticipating congestion and AQI is confirmed by comparing predicted and actual outcomes. Despite a 1.4% traffic flow increase, predictive analytics and IoT solutions reduce congestion by 25% and improve air quality by 12.7%. The impact research shows that these methods reduce congestion and promote sustainability. This research highlights the potential of predictive analytics and IoT to improve urban mobility, enable smarter decision-making, and create sustainable urban environments via data-driven insights and proactive actions.

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Mitigating urban heat and air pollution considering green and transportation infrastructure

Cited by 3 publications

References 110 publications

Uncovering the Nexus between Urban Heat Islands and Material Stocks of Built Environment in 335 Chinese Cities

Uncovering the Nexus between Urban Heat Islands and Material Stocks of Built Environment in 335 Chinese Cities

Mitigating Urban Heat Islands Using Green Roof Technology

Energy-Efficient Urban Transportation Planning using Traffic Flow Optimization

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