Assessing Heat Vulnerability and Multidimensional Inequity: Lessons from Indexing the Performance of Australian Capital Cities

Sustainable Cities and Society, Год журнала: 2024, Номер 115, С. 105875 - 105875

Опубликована: Окт. 2, 2024

Язык: Английский

---

A Novel Urban Heat Vulnerability Analysis: Integrating Machine Learning and Remote Sensing for Enhanced Insights

Remote Sensing, Год журнала: 2024, Номер 16(16), С. 3032 - 3032

Опубликована: Авг. 18, 2024

Rapid urbanization and climate change exacerbate the urban heat island effect, increasing vulnerability of residents to extreme heat. Although many studies have assessed vulnerability, there is a significant lack standardized criteria references for selecting indicators, building models, validating those models. Many existing approaches do not adequately meet planning needs due insufficient spatial resolution, temporal coverage, accuracy. To address this gap, paper introduces U-HEAT framework, conceptual model analyzing vulnerability. The primary objective outline theoretical foundations potential applications U-HEAT, emphasizing its nature. This framework integrates machine learning (ML) with remote sensing (RS) identify at both long-term detailed levels. It combines retrospective forward-looking mapping continuous monitoring assessment, providing essential data developing comprehensive strategies. With active capacity, enables refinement evaluation policy impacts. presented in offers sustainable approach, aiming enhance practical analysis tools. highlights importance interdisciplinary research bolstering resilience stresses need ecosystems capable addressing complex challenges posed by increased study provides valuable insights researchers, administrators, planners effectively combat challenges.

Язык: Английский

---

Building a climate-adaptative city: A study on the optimization of thermal vulnerability

Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 144768 - 144768

Опубликована: Янв. 1, 2025

Язык: Английский

---

Strategic tree placement for urban cooling: A novel optimisation approach for desired microclimate outcomes

Urban Climate, Год журнала: 2024, Номер 56, С. 102084 - 102084

Опубликована: Июль 1, 2024

Trees are crucial elements for improving urban microclimates by providing cooling through shading, evapotranspiration, and windbreaks. To maximise their effects, it is essential to strategically position the trees in optimal locations. However, research on optimising tree location its impact limited owing computational challenges costs. This study introduces a novel method that employs three optimisation algorithms—i.e., Non-dominated Sorting Genetic Algorithm II (NSGA-II), Particle Swarm Optimisation (PSO), Ant Colony (ACO)—to identify locations environments enhance thermal comfort. The methodology involves simulating microclimate responses placements optimised each algorithm assessing results based underscore efficacy of locations, demonstrating can significantly reduce Universal Thermal Comfort Index (UTCI) areas. Furthermore, findings suggest clustering canopies has compounding these benefits Notably, all algorithms improved UTCI. PSO demonstrated rapid identification effective configurations. ACO provided most substantial reduction air temperature, highlighting potential as an tool cooling. While efficient, NSGA-II plateaued earlier, suggesting utility scenarios where timely solutions crucial.

Язык: Английский

---

Spatio-Temporal Analysis of Countries’ Vulnerability to Extreme Heat, Using the Hybrid F’ANP Model

International Journal of Disaster Risk Reduction, Год журнала: 2025, Номер unknown, С. 105448 - 105448

Опубликована: Апрель 1, 2025

Язык: Английский

---

Mapping Heat Vulnerability in Australian Capital Cities: A Machine Learning and Multi-Source Data Analysis

Опубликована: Янв. 1, 2024

Язык: Английский

---