Towards a Sustainable Urban Future: A Comprehensive Review of Urban Heat Island Research Technologies and Machine Learning Approaches

Sustainability, Год журнала: 2024, Номер 16(11), С. 4609 - 4609

Опубликована: Май 29, 2024

The urban heat island (UHI) is a crucial factor in developing sustainable cities and societies. Appropriate data collection, analysis, prediction are essential first steps studying the effects of UHI. This research systematically reviewed papers related to UHI that have used on-site collection United States Canada predicting analyzing this effect these regions. To achieve goal, study extracted 330 articles from Scopus Web Science and, after selecting papers, 30 detail 1998 2023. findings paper indicated methodological shift traditional sensors loggers towards more innovative customized technologies. Concurrently, reveals growing trend using machine learning, moving supportive direct predictive roles techniques like neural networks Bayesian networks. Despite maturation due developments, they also present challenges technology complexity integration. review emphasizes need for future focus on accessible, accurate Moreover, interdisciplinary approaches addressing an era climate change.

Язык: Английский

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Modeling the impact of land use/land cover (LULC) factors on diurnal and nocturnal Urban Heat Island (UHI) intensities using spatial regression models

Urban Climate, Год журнала: 2024, Номер 55, С. 101971 - 101971

Опубликована: Май 1, 2024

Язык: Английский

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Influences of permeable pavements with different hydraulic properties on evaporative cooling and outdoor thermal environment: Field experiments

Building and Environment, Год журнала: 2025, Номер unknown, С. 112525 - 112525

Опубликована: Янв. 1, 2025

Язык: Английский

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Causal inference of urban heat island effect and its spatial heterogeneity: a case study of Wuhan, China

Sustainable Cities and Society, Год журнала: 2024, Номер unknown, С. 105850 - 105850

Опубликована: Сен. 1, 2024

Язык: Английский

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Modeling the Impact of Low-Carbon Procurement on Bidding Dynamics

Journal of Management in Engineering, Год журнала: 2024, Номер 40(4)

Опубликована: Апрель 17, 2024

Low-carbon procurement policies are growing rapidly at the local, state, and federal levels within US globally. Despite prevailing recognition of importance low-carbon procurement, research effort to investigate impact public on different project delivery aspects is notably limited. To this end, study investigates bidding dynamics construction industry. First, parametric distributions were fitted competitors' historic markup records. Second, two considered, lowest eligible bid performance discount rate. Third, environmental considerations approaches integrated into Friedman's Gates's models estimate future outcomes such as optimum value, probability winning against all competitors, expected profit. Finally, showcase practicality reliability proposed framework, it was applied a case from literature. Moreover, scenario analysis conducted considerations, varying global warming potential (GWP) threshold limit, outcomes. The findings provided valuable insights how integration coupled with traditional cost factor in evaluations, serves powerful incentive for contractors prioritize use materials. Also, highlighted an asymmetrical GWP limit approaches, revealing substantial shifts approach compared marginal variations rate approach. results showed that model consistently tends predict superior model. This contributes field by providing influenced effectiveness these improving profitability contractors. Overall, offers practical actionable strategies industry professionals can implement navigate complexities various scenarios.

Язык: Английский

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Diagnostic Bayesian network in building energy systems: Current insights, practical challenges, and future trends

Energy and Buildings, Год журнала: 2025, Номер unknown, С. 115845 - 115845

Опубликована: Май 1, 2025

Язык: Английский

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An IoT-Enabled Sensing Device to Quantify the Reliability of Shared Economy Systems Using Intelligent Sensor Fusion Building Technologies

Buildings, Год журнала: 2023, Номер 13(9), С. 2182 - 2182

Опубликована: Авг. 28, 2023

The concept of smart sustainable cities—as a favorable response to different challenges faced in urban areas—is rapidly gaining momentum and worldwide attention. This trend has driven the exploration various technologies improve utilization limited resources idling capacities (i.e., underutilized physical assets such as buildings or facilities). In fact, new business model been introduced recently cities, known “shared economy”. shared economy is socioeconomic system that enables intermediary exchanges goods services between people and/or organizations, which boosts productivity leverages maximum potential. However, one inherent issues hindering wide adoption systems lack trust providers users systems. To this end, study focuses on long-term properties/buildings proposes an intelligent, IoT-enabled device dynamic pricing address issue information asymmetry. First, 10 indicators were identified assess condition property. Next, multiple sensors used, calibrated, integrated into sensing where collected data was combined using intelligent sensor fusion real-time manner. Third, survey developed distributed examine significance indicators, innovative reliability index created accordingly reflect overall Fourth, reward condition-conscious property penalize condition-unconscious ones. ensure applicability robustness proposed model, pilot project implemented rental Newark, NJ, United States. Ultimately, research provided insights how operational efficiency by offering (1) properties visibility over their through assessment user reliability, (2) assured safety monetary incentives maintain environment good condition.

Язык: Английский

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Assessing the spatial-temporal impacts of underlying surfaces on 3D thermal environment: A field study based on UAV vertical measurements

Building and Environment, Год журнала: 2024, Номер 265, С. 111985 - 111985

Опубликована: Авг. 22, 2024

Язык: Английский

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Development and Validation of a Heat Resilience Index: Measuring Communities Resilience to Extreme Heat Events

Journal of Urban Planning and Development, Год журнала: 2024, Номер 150(4)

Опубликована: Июль 18, 2024

Язык: Английский

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Geo-Sensing-Based Analysis of Urban Heat Island in the Metropolitan Area of Merida, Mexico

Sensors, Год журнала: 2024, Номер 24(19), С. 6289 - 6289

Опубликована: Сен. 28, 2024

Urban Heat Islands are a major environmental and public health concern, causing temperature increase in urban areas. This study used satellite imagery machine learning to analyze the spatial temporal patterns of land surface distribution Metropolitan Area Merida (MAM), Mexico, from 2001 2021. The results show that has increased MAM over period, while footprint expanded. also found high correlation (r> 0.8) between changes cover classes (urbanization/deforestation). If current urbanization trend continues, difference its surroundings is expected reach 3.12 °C ± 1.11 by year 2030. Hence, findings this suggest Island effect growing problem highlight importance for monitoring developing mitigation strategies.

Язык: Английский

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