Sustainable Cities and Society最新文献

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Spatial scale increment identification and dynamic simulation of network resilience disturbances in landscape infrastructure: A comprehensive approach for optimizing regional planning
IF 10.5 1区 工程技术
Sustainable Cities and Society Pub Date : 2025-01-30 DOI: 10.1016/j.scs.2025.106180
Shihao Zhang , Jie Zhu , Liang Lv , Zhe Wang
{"title":"Spatial scale increment identification and dynamic simulation of network resilience disturbances in landscape infrastructure: A comprehensive approach for optimizing regional planning","authors":"Shihao Zhang ,&nbsp;Jie Zhu ,&nbsp;Liang Lv ,&nbsp;Zhe Wang","doi":"10.1016/j.scs.2025.106180","DOIUrl":"10.1016/j.scs.2025.106180","url":null,"abstract":"<div><div>Human-driven material production has brought social and economic benefits. However, it has also exacerbated environmental degradation, posing considerable challenges to the functional attributes and network structures that some communities rely on and threatening their service supply. The current development model continues to compress limited landscape space, and infrastructure has become a characteristic feature of high-density cities, urgently requiring integrated solutions to plan them synergistically. Landscape Infrastructure (LI)-oriented regional planning offer the possibility of integrating social, cultural, and ecosystem services into urban planning. Therefore, this study utilized Genetic Algorithms (GA) to optimize LI distribution, combined with network node testing to assess the rationality of spatial configuration and dynamically simulated urban disturbance scenarios. Using Chongqing as a typical case, the optimized LI area increased by 47.5%, and network efficiency and connectivity indicators significantly improved. While completing the scale increment and structural stability requirements, the model calculations revealed a regional network resilience threshold of 0.36, effectively guiding priority areas for construction and protection. The study provides a replicable Landscape Infrastructure System (LIS) framework, integrating GA and network theory to develop a multi-objective optimization approach. The results support targeted spatial management policies and contribute to sustainable urban development and resilience of socio-ecological systems.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"121 ","pages":"Article 106180"},"PeriodicalIF":10.5,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143209940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Association between urban heat islands and heat-related mortality in 70 pairs of adjacent urban-rural counties among 8 topographic regions in China
IF 10.5 1区 工程技术
Sustainable Cities and Society Pub Date : 2025-01-29 DOI: 10.1016/j.scs.2025.106182
Yi Huang , Fan Mao , Yating Xu , Jinlei Qi , Weiwei Zhang , Chen Li , Maigeng Zhou
{"title":"Association between urban heat islands and heat-related mortality in 70 pairs of adjacent urban-rural counties among 8 topographic regions in China","authors":"Yi Huang ,&nbsp;Fan Mao ,&nbsp;Yating Xu ,&nbsp;Jinlei Qi ,&nbsp;Weiwei Zhang ,&nbsp;Chen Li ,&nbsp;Maigeng Zhou","doi":"10.1016/j.scs.2025.106182","DOIUrl":"10.1016/j.scs.2025.106182","url":null,"abstract":"<div><div>Urban heat island (UHI)-related mortality in different geographical regions remains controversial. In this study, we selected 70 pairs of adjacent urban-rural counties from 8 topographic regions in China. Daily mortality data from 2017 to 2021 were obtained from the mortality surveillance system of China. Daily temperature data were obtained from national meteorological stations located within the boundary of each county. A distributed lag nonlinear model and meta-regression were used to analyze the data. The results showed that the relationship between UHI and heat-related mortality varied across regions in China and could be classified into four categories. Regions with seldom and most frequent heat show lower urban-rural disparities in heat-related mortality. A higher heat risk was observed in urban than in rural areas in the Northeast Plain and Loess Plateau, with a moderate frequency of heat and low air conditioner ownership rate. Conversely, a negative correlation between UHI and mortality was observed in regions with frequent heat and high urban-rural disparity in the air conditioner ownership rate. Similar urban-rural disparities were found in older adults with specific causes. These findings contribute to a better understanding of the impacts of UHI on health and adaptive strategies.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"121 ","pages":"Article 106182"},"PeriodicalIF":10.5,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143183000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multi-criteria approach for the energy and environmental impact evaluation in urban districts in the central Mediterranean area
IF 10.5 1区 工程技术
Sustainable Cities and Society Pub Date : 2025-01-29 DOI: 10.1016/j.scs.2025.106179
Samantha Di Loreto , Valentino Sangiorgio , Massimiliano Bagagli , Sergio Montelpare
{"title":"Multi-criteria approach for the energy and environmental impact evaluation in urban districts in the central Mediterranean area","authors":"Samantha Di Loreto ,&nbsp;Valentino Sangiorgio ,&nbsp;Massimiliano Bagagli ,&nbsp;Sergio Montelpare","doi":"10.1016/j.scs.2025.106179","DOIUrl":"10.1016/j.scs.2025.106179","url":null,"abstract":"<div><div>Rapid urbanization and growing awareness of climate change have made sustainability crucial for the future of cities. However, knowledge about the factors affecting environmental sustainability in urban districts is still fragmented, and comprehensive multi-criteria approaches to quantify this remain is lacking. This study presents an analysis aimed at quantifying the influence of various criteria on the environmental impact of anthropogenic activities in urban districts. The authors propose a novel index that integrates qualitative and quantitative parameters to assess and predict the environmental impact in urban areas. The methodological approach involves four steps: (i) extensive bibliographic analysis of relevant parameters, (ii) three years of data acquisition using on-site surveys and data mining techniques, (iii) calibration and validation via Support Vector Machine (SVM) algorithms, and (iv) index definition. The index is applied to a case study in Pescara, Abruzzo, Italy, demonstrating the potential of this approach. Unlike prior studies, which focus on limited parameters, this work quantifies the importance of 17 criteria related to energy and environmental impacts. Among the most influential parameters, carbon dioxide emissions, active mobility, and the availability of open public space stand out, contributing 8.2 %, 8.2 %, and 6.7 % to the overall impact, respectively. This study offers a comprehensive understanding of factors driving sustainability in urban districts and provides insights to support strategies aimed at reducing environmental impacts in urban settings.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"120 ","pages":"Article 106179"},"PeriodicalIF":10.5,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Traffic noise assessment in urban Bulgaria using explainable machine learning
IF 10.5 1区 工程技术
Sustainable Cities and Society Pub Date : 2025-01-29 DOI: 10.1016/j.scs.2025.106169
Marco Helbich , Julian Hagenauer , Angel Burov , Angel M. Dzhambov
{"title":"Traffic noise assessment in urban Bulgaria using explainable machine learning","authors":"Marco Helbich ,&nbsp;Julian Hagenauer ,&nbsp;Angel Burov ,&nbsp;Angel M. Dzhambov","doi":"10.1016/j.scs.2025.106169","DOIUrl":"10.1016/j.scs.2025.106169","url":null,"abstract":"<div><div>Fine-grained noise maps are vital for epidemiological studies on traffic noise. However, detailed information on traffic noise is often limited, especially in Eastern Europe. When acoustic noise propagation models are unavailable, rigid linear noise land-use regressions are typically employed to estimate noise levels; however, machine learning likely offers more accurate noise predictions. We innovated by comparing the predictive accuracies of supervised machine learning models to estimate traffic noise levels across the five largest Bulgarian cities. In situ A-weighted equivalent continuous sound levels were obtained from 232 fixed-site monitors across these cities. We included transport- and land-use-related predictors using 50–1,000 m buffers. Extreme gradient boosting (XGB) had the highest ten-fold cross-validated fit (<em>R²</em>=0.680) and the lowest root mean square error (RMSE=4.739), insignificantly besting the random forest-based model (<em>R²</em>=0.667, RMSE=4.895). Support vector regression (<em>R²</em>=0.633, RMSE=5.358), elastic net (<em>R²</em>=0.568, RMSE=5.625), and linear regression (<em>R²</em>=0.548, RMSE=5.569) performed significantly worse. Shapley values for the XGB showed that the length of major roads within 100 m buffers, footways within 50 m buffers, residential roads within 50 m buffers, and the number of buildings within 50 m buffers were important non-linear predictors. Our spatially resolved noise maps revealed striking geographic noise variations and that, on average, 96.8 % of the urban population experiences harmful noise levels.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"120 ","pages":"Article 106169"},"PeriodicalIF":10.5,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A computational approach to assess the effects of ecological building envelopes on outdoor thermal comfort
IF 10.5 1区 工程技术
Sustainable Cities and Society Pub Date : 2025-01-29 DOI: 10.1016/j.scs.2025.106170
Francesca Mosca , Mariasole Calbi , Enrica Roccotiello , Katia Perini
{"title":"A computational approach to assess the effects of ecological building envelopes on outdoor thermal comfort","authors":"Francesca Mosca ,&nbsp;Mariasole Calbi ,&nbsp;Enrica Roccotiello ,&nbsp;Katia Perini","doi":"10.1016/j.scs.2025.106170","DOIUrl":"10.1016/j.scs.2025.106170","url":null,"abstract":"<div><div>Rapid urbanization and the progressive reduction of green spaces in urban areas are among the main causes of the Urban Heat Island (UHI) effect. Nature-based building envelopes can effectively support the mitigation of UHI and the improvement of microclimate conditions. This paper aims to identify the most efficient computational method(s) to be included in a parametric optimization process for evaluating outdoor thermal comfort (OTC), considering the contribution of design parameters and plants. In addition, the performance of ecological building envelopes is evaluated, identifying the most relevant design and context parameters for OTC improvement. Specifically, building height (up to Δ6,95 °C between high-rise and terraced houses), geometric form (up to Δ11,9 °C between multi-storey building and terraced houses), urban density (up to Δ6,31 °C between high and low density), and the presence of trees (up to Δ6,13 °C configuration with and without trees) are among the most influential factors. Furthermore, perimeter blocks and multi-storey buildings constitute the most promising building types due to the high variation of OTC conditions (up to Δ8.78 °C). Finally, the results of the study enable the foundation for the future integration of plants features and performance into microclimate modelling approaches.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"120 ","pages":"Article 106170"},"PeriodicalIF":10.5,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multi-objective optimization for optimal placement of shared battery energy storage systems in urban energy communities
IF 10.5 1区 工程技术
Sustainable Cities and Society Pub Date : 2025-01-29 DOI: 10.1016/j.scs.2025.106178
Jongbaek An , Taehoon Hong
{"title":"Multi-objective optimization for optimal placement of shared battery energy storage systems in urban energy communities","authors":"Jongbaek An ,&nbsp;Taehoon Hong","doi":"10.1016/j.scs.2025.106178","DOIUrl":"10.1016/j.scs.2025.106178","url":null,"abstract":"<div><div>This study presents a novel multi-objective optimization approach for the optimal placement of shared battery energy storage systems (SBESS) in urban energy communities, balancing economic, technical, and environmental performance. Using real-world data from 191 buildings in Seoul, South Korea, a comprehensive model was developed that incorporates genetic algorithms and pareto optimality to optimize net present value, energy self-sufficiency rates, and peak loads. The results reveal that SBESS placement significantly improves technical and environmental performance compared to scenarios without SBESS, increasing energy self-sufficiency rates by up to 17.44% and reducing peak loads by up to 37.19% across different clusters. However, it currently lacks economic viability, with negative net present values ranging from USD -163,249 to USD -821,469 in all clusters. The optimal placement strategy achieved similar technical and environmental performances as the full placement approach yet required fewer installations. Sensitivity analysis emphasized the importance of electricity market design and policy frameworks in improving the economic feasibility of SBESS. This research contributes to urban energy planning by providing a realistic assessment of SBESS integration, offering valuable insights for policymakers and planners in balancing sustainability goals with economic constraints in energy community design.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"120 ","pages":"Article 106178"},"PeriodicalIF":10.5,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Efforts needed to coordinate future economic growth and heatwave exposure mitigation in coastal cities
IF 10.5 1区 工程技术
Sustainable Cities and Society Pub Date : 2025-01-29 DOI: 10.1016/j.scs.2025.106177
Yuwei Wang , Na Zhao , Chaoyang Wu , Wei Wang , Yuming Wu , Xiaoran Wu , Kainan Chen , Yanlei Ye , Yang Yang
{"title":"Efforts needed to coordinate future economic growth and heatwave exposure mitigation in coastal cities","authors":"Yuwei Wang ,&nbsp;Na Zhao ,&nbsp;Chaoyang Wu ,&nbsp;Wei Wang ,&nbsp;Yuming Wu ,&nbsp;Xiaoran Wu ,&nbsp;Kainan Chen ,&nbsp;Yanlei Ye ,&nbsp;Yang Yang","doi":"10.1016/j.scs.2025.106177","DOIUrl":"10.1016/j.scs.2025.106177","url":null,"abstract":"<div><div>The increasing frequency and severity of heatwaves present significant environmental and socio-economic challenges. While both rapid economic expansion and sluggish growth could intensify heatwave risks, current research predominantly examines the heatwaves’ impacts on economic performance, overlooking how economic development influences heatwave risks. Coastal cities, particularly major ports, are pivotal in the global economy and are anticipated to experience the greatest increase in heatwave exposure (0.81 to 2.31 × 10<sup>4</sup> person-times year<sup>-1</sup> under SSP1–2.6 to SSP5–8.5) relative to other urban areas. Quantifying population exposure in global coastal cities by 2100, we investigated the diverse effects of future economic development on heatwave exposure. A robust correlation between economic development and heatwave exposure was identified across nearly all studied coastal cities (the majority showing correlation coefficients &gt; 0.8). GDP variations significantly affect heatwave exposure on the global average level; yet, the magnitude and mode of this impact vary among cities (<em>P</em> &lt; 0.01, R<sup>2</sup> = 0.90 on average). We highlighted 14 typical cities requiring special attention and defined three risk types: Development Imbalance Risk, Economic Lag Risk, and Potential Risk Alert, leading to possible targeted strategies for coordinated socio-economic and heatwave mitigation efforts. The results contribute to integrating sustainable economic growth with climate resilience strategies.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"121 ","pages":"Article 106177"},"PeriodicalIF":10.5,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143348578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optimizing urban agricultural waste planning and management to enhance sustainability: Strategies for three types of cities
IF 10.5 1区 工程技术
Sustainable Cities and Society Pub Date : 2025-01-27 DOI: 10.1016/j.scs.2025.106168
Chenshuo Ma , Yifei Zhang , Shengao Yi , Yutian Lu
{"title":"Optimizing urban agricultural waste planning and management to enhance sustainability: Strategies for three types of cities","authors":"Chenshuo Ma ,&nbsp;Yifei Zhang ,&nbsp;Shengao Yi ,&nbsp;Yutian Lu","doi":"10.1016/j.scs.2025.106168","DOIUrl":"10.1016/j.scs.2025.106168","url":null,"abstract":"<div><div>In recent years, urban agriculture has gained significant attention for its potential to enhance food security and promote sustainable development. However, improper management and inadequate treatment of urban agricultural waste have led to severe air pollution and inefficient resource utilization, undermining urban sustainability efforts. Therefore, effective planning for urban agricultural waste is crucial to achieving these objectives. This study develops a comprehensive planning model to support data-driven decision-making and offer policy recommendations for urban agricultural waste management. Using the Multi-Criteria Decision Making (MCDM) method, the model identifies sustainable solutions by establishing a full life-cycle planning framework through Geographic Information System (GIS) analysis. The framework is structured into three phases: urban layout pattern, facility location planning, and resource allocation. A ten-indicator evaluation system was created to enhance urban environmental quality, optimize resource utilization, and minimize investment costs, providing optimal solutions for each phase. Tailored planning indicators and strategic recommendations are proposed for cities at different stages of urban agricultural development, addressing layout patterns, facility numbers, service radii, and waste collection distances. The results demonstrate that, with appropriate planning, the environmental, energy, and economic benefits of urban agricultural waste can be maximized, making a significant to urban sustainability.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"120 ","pages":"Article 106168"},"PeriodicalIF":10.5,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143173300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The effect of urban density on compliance with indoor visual and non-visual daylight targets: A Dutch case study
IF 10.5 1区 工程技术
Sustainable Cities and Society Pub Date : 2025-01-26 DOI: 10.1016/j.scs.2025.106149
Daniël Koster, Azarakhsh Rafiee, Eleonora Brembilla
{"title":"The effect of urban density on compliance with indoor visual and non-visual daylight targets: A Dutch case study","authors":"Daniël Koster,&nbsp;Azarakhsh Rafiee,&nbsp;Eleonora Brembilla","doi":"10.1016/j.scs.2025.106149","DOIUrl":"10.1016/j.scs.2025.106149","url":null,"abstract":"<div><div>The high density of the urban fabric poses a real challenge for adequate daylight design in residential buildings. European and national building standards do not provide sufficient guidelines on if and how to consider the urban context at design stage. This study assessed the impact of simulating different urban densities on the indoor daylight performance of typical Dutch apartments. Results showed that not including the surrounding environment when designing a new building leads up to an 85% overestimation of daylight performance, causing an insufficient daylight provision for most apartments built at the lower floors. Furthermore, settling for daylight target values any lower than the minimum standards specified by EN17037 (median illuminance of 300 lx) will lead to insufficient melanopic light levels. In this regard, two new metrics are introduced to compare the non-visual performance between apartments: Melanopic Autonomy and Melanopic Isotropy. These metrics enable the characterisation of non-visual performance of an entire space, rather than of a single occupant position. Last, the analysis explored the relationship between indoor daylight performance and urban density indicators; while the results are limited to the sample considered in this study, a promising relation was noticed for the floor-space index and for the open-space ratio.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"120 ","pages":"Article 106149"},"PeriodicalIF":10.5,"publicationDate":"2025-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143173307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Climate models for predicting precipitation and temperature trends in cities: A systematic review
IF 10.5 1区 工程技术
Sustainable Cities and Society Pub Date : 2025-01-26 DOI: 10.1016/j.scs.2025.106171
Fahad Shah , Ayyoob Sharifi
{"title":"Climate models for predicting precipitation and temperature trends in cities: A systematic review","authors":"Fahad Shah ,&nbsp;Ayyoob Sharifi","doi":"10.1016/j.scs.2025.106171","DOIUrl":"10.1016/j.scs.2025.106171","url":null,"abstract":"<div><div>Climate change is increasingly putting pressure on urban areas and threatening millions of lives. In this context, diverse climate models have been utilized to predict future changes in precipitation and temperature. Despite substantial research in this field, there is a lack of review of various climate models, their predictive reliability, and their geographical focus. This systematic review, covering studies from 2009 to 2023, examines the use of different climate models to predict precipitation and temperature trends in cities. We organized the studies into two primary categories based on the type and geographic focus of climate models used in this field. Using deductive content analysis, our analysis found that researchers used combined neural networks and Coupled Model Intercomparison Project Phase 6 (CMIP6) models the most. Time series models, particularly those optimized with machine learning, demonstrated superior accuracy compared to other models. Furthermore, scenarios such as SSP5–8.5 and RCP8.5 projected significant changes in precipitation and temperature across cities in Europe, North America, Asia, and the Gulf Cooperation Council (GCC) countries. These changes could intensify the frequency of heatwaves, floods, and droughts in urban areas by the end of the 21st century. A key gap in the existing literature is the insufficient analysis of small cities, indicating a promising area for future research. This study provides valuable insights for policymakers in climate change adaptation and urban resilience planning.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"120 ","pages":"Article 106171"},"PeriodicalIF":10.5,"publicationDate":"2025-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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