Cities, Arid Climates and Shading: Persian Vernacular Building Responses DOI

Kimia Chenary,

Mohammad Hamed Abdi

Published: Jan. 1, 2024

Language: Английский

Machine Learning for Urban Heat Island (UHI) Analysis: Predicting Land Surface Temperature (LST) in Urban Environments DOI

Ghazaleh Tanoori,

Alì Soltani,

Atoosa Modiri

et al.

Urban Climate, Journal Year: 2024, Volume and Issue: 55, P. 101962 - 101962

Published: May 1, 2024

Language: Английский

Citations

36
The nexus between transportation infrastructure and housing prices in metropolitan regions DOI
Alì Soltani, Nader Zali,

Hadi Aghajani

et al.

Journal of Housing and the Built Environment, Journal Year: 2024, Volume and Issue: 39(2), P. 787 - 812

Published: Jan. 12, 2024

Language: Английский

Citations

9
Unveiling nonlinear effects of built environment attributes on urban heat resilience using interpretable machine learning DOI

Qing Liu,

Jingyi Wang,

Bowen Bai

et al.

Urban Climate, Journal Year: 2024, Volume and Issue: 56, P. 102046 - 102046

Published: June 28, 2024

Language: Английский

Citations

9
A 3D visible space index for evaluating urban openness based on the digital urban model DOI
Hui Zhu, Xin Yang, Xingyu Zhou

et al.

International Journal of Geographical Information Science, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 26

Published: Sept. 13, 2024

Language: Английский

Citations

8
Predicting Urban Land Use and Mitigating Land Surface Temperature: Exploring the Role of Urban Configuration with Convolutional Neural Networks DOI

Ghazaleh Tanoori,

Alì Soltani,

Atoosa Modiri

et al.

Journal of Urban Planning and Development, Journal Year: 2024, Volume and Issue: 150(3)

Published: June 24, 2024

Language: Английский

Citations

5
A conceptual framework to mitigate the adverse effects of surface urban heat islands through urban acupuncture: a two-phase scenario of diagnosis and prescription at the neighborhood scale DOI Creative Commons

S. Mohammad Reza Moussavi.A,

Azadeh Lak, Nasibeh Tabrizi

et al.

Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12

Published: Jan. 29, 2024

Rising temperatures, a major global environmental challenge, negatively impact health, the environment, society, and economy. Surface Urban Heat Islands (SUHI), exacerbated by urbanization climate change, intensify vulnerabilities for urban areas residents. planning design aime to reduce these through large-scale small-scale interventions. However, addressing significance of capillary effects resulting from interventions bottom-up community engagement is important. acupuncture (UA) an emerging approach in contemporary that focuses on mitigate SUHIs at level. This study develops framework mitigating impacts UA implementation design. The proposed consists two key phases: diagnosis prescription. During phase, we analyzed heat-vulnerable points identify indicators contributing development exacerbation SUHIs. Then, employed Matrix Cross Impact Multiplications Applied Classification (MICMAC) technique comprehensively assess 75 influential related structure across various aspects scales, focusing mesoscale. Among them, 30 leading were identified, which morphological emerged as significant catalysts. Moving prescription developed UA-based called “5 Wh Question” addresses five fundamental questions: why, who, what, how, where. Our findings can provide comprehensive solutions policymakers planners address identified points.

Language: Английский

Citations

4
Quantitative Impact of Key SDG Indicators on National Sustainability Scores in West Asia: A Comprehensive Analysis DOI
Omid Pirian Kalat,

Kimia Chenary,

Ali GhaffarianHoseini

et al.

Lecture notes in civil engineering, Journal Year: 2025, Volume and Issue: unknown, P. 1324 - 1338

Published: Jan. 1, 2025

Language: Английский

Citations

0
Mapping urban heat: Unveiling nature-based solutions in Sari City, Iran. DOI Creative Commons
Teimour Rezaei, Noppol Arunrat,

Uthai Chareonwong

et al.

Urban Climate, Journal Year: 2024, Volume and Issue: 55, P. 102000 - 102000

Published: May 1, 2024

Amidst growing concerns surrounding escalating temperatures and the rapid expansion of urban areas, researchers are delving into intricate interplay between morphology, intensifying Urban Heat Island (UHI) effect, efficacy Nature-based Solutions (NbS). Despite sustained research efforts, a critical knowledge gap persists in precise modeling predicting UHI mitigation through NbS interventions. This is primarily attributed to nuanced spatial variations at neighborhood level, where these interventions commonly implemented. study addressed challenge by employing comprehensive grid structure consisting 699 cells, covering entirety Sari City, Iran, as scale. The investigation identified five hot zones within area. To scrutinize relationships effect various influencing factors diverse models such Ordinary Least Squares (OLS), Random Forest Regression (RFR), Geographically Weighted (GWR), Mixed (MGWR) were applied. Remarkably, fit for simulated data experienced significant enhancement with implementation MGWR models. Five scenarios created using model outputs. analysis revealed responses across different segments. Notably, green roofs emerged most effective mid-term scenario mitigating effect.

Language: Английский

Citations

3
Spatially Explicit Assessments of Heat-Related Health Risks: A Literature Review DOI Creative Commons
Yu Yao, Linlin Lu, Jiaqi Guo

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(23), P. 4500 - 4500

Published: Nov. 30, 2024

Extreme heat events, or heatwaves, exert significant impacts on human society, ecosystems, and the economy. The continuous development of remote sensing technology has facilitated acquisition high-quality data for assessing health risks associated with these extreme events. This study systematically reviews evaluation factors assessment framework a spatially explicit heat-related risks. contribution geospatial big data, particular focus satellite observations, to assessments was investigated. Moderate Resolution Imaging Spectroradiometer (MODIS) Landsat surface temperature (LST) are identified as two most widely utilized sources mapping hazards. incorporation multi-sensor along implementation spatiotemporal fusion downscaling techniques, enhances both spatial resolution temporal frequency hazard characterization. It is essential consider issues justice equality in heat-resilient planning mitigation practices. Integrating heatwave risk results analyses urban morphology, land use functions infrastructure can provide critical information government agencies strategically plan layout, functions, public service facilities while optimizing enhancing green infrastructures.

Language: Английский

Citations

2
Separation of the urbanization effects on thermal environment DOI
Yao Shen

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 112, P. 105585 - 105585

Published: June 12, 2024

Language: Английский

Citations

1