Sustainable Cities and Society最新文献_第3页

An integrated life cycle cost assessment framework incorporating cost of carbon dioxide equivalent for buildings subjected to natural hazards 包含自然灾害下建筑物二氧化碳当量成本的综合生命周期成本评估框架

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2025-04-22 DOI: 10.1016/j.scs.2025.106394

Radhika Prakash Pajgade, Meera Raghunandan, Siddhartha Ghosh

{"title":"An integrated life cycle cost assessment framework incorporating cost of carbon dioxide equivalent for buildings subjected to natural hazards","authors":"Radhika Prakash Pajgade, Meera Raghunandan, Siddhartha Ghosh","doi":"10.1016/j.scs.2025.106394","DOIUrl":"10.1016/j.scs.2025.106394","url":null,"abstract":"<div><div>The building construction industry is responsible for approximately 39 % of global greenhouse gas (GHG) emissions, quantified using carbon dioxide equivalent (CO<sub>2</sub>e). As urbanization and population growth escalate construction demand, sustainable development considerations become crucial. This study presents a novel cradle-to-cradle life cycle cost assessment framework that integrates the three pillars of sustainability: economic, environmental, and social; while accounting for natural hazard-related losses throughout a structure’s design life. The framework quantifies economic (e.g., material and process costs), environmental (e.g., CO<sub>2</sub>e) and social (e.g., casualties and injuries) impacts in monetary terms. The framework also provides insights into CO<sub>2</sub>e impacts under different future climate scenarios through environmental costs. The framework is demonstrated for four steel frame buildings in India exposed to seismic events as natural hazards. The study finds that initial and operational costs dominate life cycle costs, followed by initial carbon emissions and operational carbon emissions. Further, costs associated with CO<sub>2</sub>e account for 30 % to 70 % of total life cycle cost, depending on the future climate scenarios. The findings highlight the need for policies that utilize this framework for evaluating sustainable design and construction among multiple stakeholders such as owners, contractors, architects, engineers, urban planners and policymakers.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106394"},"PeriodicalIF":10.5,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143891774","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

An innovative framework combining a CNN-Transformer multiscale fusion network and spatial analysis for cycleway extraction using street view images 结合CNN-Transformer多尺度融合网络和空间分析的创新框架，用于从街景图像中提取自行车道

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2025-04-19 DOI: 10.1016/j.scs.2025.106384

Xiaobing Wei , Junjie Li , Xucai Zhang , Hongkai Gu , Nico Van de Weghe , Haosheng Huang

{"title":"An innovative framework combining a CNN-Transformer multiscale fusion network and spatial analysis for cycleway extraction using street view images","authors":"Xiaobing Wei , Junjie Li , Xucai Zhang , Hongkai Gu , Nico Van de Weghe , Haosheng Huang","doi":"10.1016/j.scs.2025.106384","DOIUrl":"10.1016/j.scs.2025.106384","url":null,"abstract":"<div><div>Cycling is a global activity promoting environmental sustainability and health benefits. Many cities have invested in developing dedicated bike paths. Data about these cycleways, often missing in road databases, form the cornerstone of cycling experience assessment and sustainable urban development planning. Street view images (SVIs) provide detailed street-level information, contributing significantly to extracting these cycleway infrastructure data. However, automatic methods for this task are currently sparse. In this study, we propose an innovative framework combining deep learning with post-processing to extract geo-tagged cycleways from SVIs. First, an innovative neural network, SWDE-Net, is proposed to segment various types of cycleways from SVIs. SWDE-Net integrates the strengths of Convolutional Neural Networks (CNNs) in handling local features and Transformers in managing global dependencies within the DeepLabv3+ encoder-decoder framework. A Cross-Contextual Atrous Spatial Pyramid (CC-ASP) module for enhanced multiscale features and a Spatial Global-local Fusion (SGLF) module for precise spatial information. Following cycleway extraction using SWDE-Net, a post-processing approach integrating roadside determination and majority voting is proposed to geotag the extracted cycleways to the road network. Experimental results show that SWDE-Net achieved a mean Intersection over Union (mIoU) of 85.57 % on the constructed cycleway dataset outperformed the state-of-the-art models. Applied to Ghent (Belgium), the framework achieved a geometric correctness of 86.25 %. Evaluations in two additional cities further illustrate the proposed framework's robustness. Therefore, this study provides a highly flexible and robust method for automatically constructing bicycle infrastructure datasets from SVIs, facilitating the development of active mobility solutions in urban environments.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106384"},"PeriodicalIF":10.5,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143882968","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

An experimental and modeling study of thermal behavior of photovoltaic-greenery system 光伏-绿化系统热行为的实验与模型研究

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2025-04-18 DOI: 10.1016/j.scs.2025.106373

Yang He , Chun Liang Tan , Jianlin Liu , Mengmeng Dai , Haifeng Cui , Shisheng Chen , Jialei Lu , Zhehua Li , Chaoen Li

{"title":"An experimental and modeling study of thermal behavior of photovoltaic-greenery system","authors":"Yang He , Chun Liang Tan , Jianlin Liu , Mengmeng Dai , Haifeng Cui , Shisheng Chen , Jialei Lu , Zhehua Li , Chaoen Li","doi":"10.1016/j.scs.2025.106373","DOIUrl":"10.1016/j.scs.2025.106373","url":null,"abstract":"<div><div>The combination of photovoltaic and greenery (PVG system) has received increasing attention in the city. However, the characteristic of thermal behavior for PVG system has not been fully revealed. Therefore, a field experiment was carried out to compare the local microclimate between PVG system and a lawn. And the results show that PV array cooled the below vegetation up to 2.5 °C in the daytime, but warmed the vegetation up to 0.7 °C at night. Energy balance analysis shows that, under the effect of PV shading, evapotranspiration consumed about 43.8 % of the total heat gain, and followed by longwave radiation (29.5 %) and heat convection (26.7 %). A numerical model considering the multiple thermal interactions between vegetation and PV modules was developed and validated by the measured data. Based on the parametric analysis, it’s found that higher plant species is preferred for PVG system, which has a greater cooling effect than the lawn. And a scenario simulation shows that, among the four factors usually neglected in the existing heat transfer model of PVG system, longwave radiation leads to the most significant error. The conclusions drawn herein could provide reference for the design optimization and energy performance prediction of PVG system.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106373"},"PeriodicalIF":10.5,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143873143","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

Spatio-temporal assessment of outdoor thermal comfort dynamics in residential neighbourhoods using the TOPSIS method: A novel approach for arid climates 基于TOPSIS方法的住宅小区室外热舒适动态时空评价：干旱气候的新方法

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2025-04-18 DOI: 10.1016/j.scs.2025.106379

Archana Singh , Tarush Chandra , Sanjay Mathur , Jyotirmay Mathur

{"title":"Spatio-temporal assessment of outdoor thermal comfort dynamics in residential neighbourhoods using the TOPSIS method: A novel approach for arid climates","authors":"Archana Singh , Tarush Chandra , Sanjay Mathur , Jyotirmay Mathur","doi":"10.1016/j.scs.2025.106379","DOIUrl":"10.1016/j.scs.2025.106379","url":null,"abstract":"<div><div>Understanding outdoor thermal comfort (OTC) in residential neighbourhoods is vital for climate-responsive urban planning, particularly in arid climates. While OTC has been studied at the urban–rural scale, intra-urban variations across different built forms remain underexplored. Urban areas in hot and arid regions experience significant thermal stress, yet effective methods for identifying thermally vulnerable zones are still lacking.</div><div>This study uses the Local Climate Zone (LCZ) classification to analyze air temperature variations in Jaipur, India, across the summer, winter, and autumn seasons. Empirical surveys were conducted over seven consecutive days in each season. The TOPSIS method was then applied to rank LCZs based on their proximity to optimal thermal conditions. This approach facilitated the identification of thermally vulnerable areas and efficient urban configurations. The novelty of this study is the use of the TOPSIS method to systematically and cost-effectively assess thermal comfort for urban climate planning.</div><div>Results indicate that LCZ 3<sub>2</sub> exhibited the most favorable thermal conditions in summer, whereas LCZ 2 experienced the highest thermal stress. In winter, LCZ 4<sub>1</sub> was the most thermally comfortable during the day, while LCZ 3<sub>2</sub> remained optimal at night. Seasonal comparisons revealed that temperature variations were more pronounced between LCZs than within them, with maximum UHI intensities reaching 11.35 °C in winter, 10.38 °C in summer, and 9.25 °C in autumn. Notably, LCZs with non-uniform building heights exhibited reduced diurnal temperature fluctuations, and LCZ 9, characterized by an organic configuration, outperformed the orthogonal LCZ 6.</div><div>The study underscores the need for thermal mapping as a strategic tool for urban climate adaptation, providing a novel methodological framework to mitigate thermal stress.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106379"},"PeriodicalIF":10.5,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143882966","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

Potential links between the progress in environmental governance and the prevalence of mental disorder burden: New insight from a dynamic panel-data analysis for 197 countries 环境治理的进展与精神疾病负担流行之间的潜在联系：对 197 个国家进行动态面板数据分析得出的新见解

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2025-04-18 DOI: 10.1016/j.scs.2025.106389

Jun-Yan Xi , Li-Chang Chen , Xue-Qi Li , Jie Hu , Wei Hu , Jian-Jun Bai , Yi-Ning Xiang , Yu-Can Zhang , Jia-Jia Wang , Shi-Hao Wang , Jing Gu , Yuan-Tao Hao , Xiao Lin

{"title":"Potential links between the progress in environmental governance and the prevalence of mental disorder burden: New insight from a dynamic panel-data analysis for 197 countries","authors":"Jun-Yan Xi , Li-Chang Chen , Xue-Qi Li , Jie Hu , Wei Hu , Jian-Jun Bai , Yi-Ning Xiang , Yu-Can Zhang , Jia-Jia Wang , Shi-Hao Wang , Jing Gu , Yuan-Tao Hao , Xiao Lin","doi":"10.1016/j.scs.2025.106389","DOIUrl":"10.1016/j.scs.2025.106389","url":null,"abstract":"<div><h3>Background</h3><div>Little is known about the extent to which addressing the serious challenges of environmental governance can alleviate the burden of mental disorders. This study aims to examine the potential association between the Environmental Performance Indicator (<em>EPI</em>) and the burden of mental disorders.</div></div><div><h3>Methods</h3><div>We measured the burden of mental disorders [loss of healthy life expectancy (HLE) due to mental disorders] and the <em>EPI</em> [Climate Change Mitigation (CCH), Air Quality (AIR), Sanitation and Drinking Water (H2O), and Heavy Metals (HMT)] for 197 countries from 1995 to 2019. The dynamic panel model was used to investigate the dynamic relationships between the <em>EPI</em> and the burden.</div></div><div><h3>Results</h3><div>For every 1-point increase in CCH, AIR, H2O, and HMT, the loss of HLE due to mental disorders decreased by 31.839 (95 % confidence interval: 7.777∼55.900), 281.229 (137.504∼424.953), -188.598 (-367.575∼-9.621), and 331.589 (136.714∼526.465) person-years per 100,000 people, respectively.</div></div><div><h3>Conclusion</h3><div>The advancement of sanitation and drinking water within the <em>EPI</em> does not appear to have had a favorable impact on reducing the burden of mental disorders. Efforts to reduce toxic by-products that may form during water treatment and include them in the assessment of the <em>EPI</em> may have potential benefits in reducing the burden of mental disorders.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106389"},"PeriodicalIF":10.5,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859661","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

Urban flood risk evaluation using social media data and Bayesian network approach: A spatial-temporal dynamic analysis in Wuhan city, China 基于社会媒体数据和贝叶斯网络的城市洪水风险评价：武汉市时空动态分析

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2025-04-17 DOI: 10.1016/j.scs.2025.106388

Yihan Zhang , Jian Fang , Dingtao Shen , Wentao Yang , Xiaoli Wang , Lili Lyu

{"title":"Urban flood risk evaluation using social media data and Bayesian network approach: A spatial-temporal dynamic analysis in Wuhan city, China","authors":"Yihan Zhang , Jian Fang , Dingtao Shen , Wentao Yang , Xiaoli Wang , Lili Lyu","doi":"10.1016/j.scs.2025.106388","DOIUrl":"10.1016/j.scs.2025.106388","url":null,"abstract":"<div><div>Under the dual impacts of urbanization and climate change, urban flooding has become one of the major threats to urban development, while the spatial-temporal evolution of urban flood risk remains unclear. In this study, we delineated the inundation areas of flooding in Wuhan from 2012–2023 using social media data and assessed urban flood risk through a Bayesian network based approach. Furthermore, future risks were evaluated considering various climate and land use scenarios. The results show that flood events are mainly concentrated in the central part of the city. Road density and impervious surfaces are identified as the primary factors influencing flooding. The proportion of high-risk areas will increase by an average of 3.13 % (from 14.66 % to 17.79 %) in 2100 under the SSP5–8.5 and SSP2–4.5 scenarios compared to the historical period. Land use alterations have a greater influence in the southern region. In contrast, variations in precipitation have a more substantial impact in the northern region and the influence of land use change is more significant compared to precipitation change. This study indicates that the Bayesian network model can effectively depict the complex process and probabilistic characteristics of urban floods. Integrated with future climate and land use scenarios, this approach would provide a scientific basis for the refined management of flood risk under climate change, thereby enhancing urban resilience.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106388"},"PeriodicalIF":10.5,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143864021","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

Energy consumption prediction for water-based thermal energy storage systems using an attention-based TCN-LSTM model 基于注意力的TCN-LSTM模型的水基储能系统能耗预测

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2025-04-16 DOI: 10.1016/j.scs.2025.106383

Jianjie Cheng , Shiyu Jin , Zehao Zheng , Kai Hu , Liang Yin , Yawen Wang

{"title":"Energy consumption prediction for water-based thermal energy storage systems using an attention-based TCN-LSTM model","authors":"Jianjie Cheng , Shiyu Jin , Zehao Zheng , Kai Hu , Liang Yin , Yawen Wang","doi":"10.1016/j.scs.2025.106383","DOIUrl":"10.1016/j.scs.2025.106383","url":null,"abstract":"<div><div>Predicting energy consumption in energy storage systems is crucial for optimizing system operation and promoting building energy sustainability. Nevertheless, due to the periodicity, intermittency, and strong nonlinearity of energy consumption in storage systems, conventional deep learning models often fail to fully capture the characteristics of energy consumption fluctuations, leading to an inability to balance both single-step and multi-step prediction accuracy. To address this issue, this paper improves the conventional Long Short-Term Memory (LSTM) model by integrating Temporal Convolutional Networks (TCN) with LSTM to optimize 1-hour single-step predictions and incorporates an attention mechanism to enhance 8-hour and 24-hour multi-step predictions, thereby proposing an Attention-TCN-LSTM prediction model. Utilizing data from an operational water-based thermal energy storage system for model training and testing, the model was compared with three neural networks and two machine learning benchmark models across three prediction time scales. The results demonstrate that, compared to the five benchmark models, the Attention-TCN-LSTM model reduced the Root Mean Square Error (RMSE) by 17.74 %-34.26 %, the Mean Absolute Error (MAE) by 19.68 %-38.60 %, the Mean Absolute Percentage Error (MAPE) by 0.12 %-2.65 %, and the Coefficient of Variation of RMSE (CVRMSE) by 9.65 %-17.27 %, while increasing the R-squared (R²) value by 3.54 %-9.36 %. These results highlight the model's higher prediction accuracy and stability, as well as shorter training times compared to conventional neural networks, underscoring its potential to enhance energy prediction and system performance.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106383"},"PeriodicalIF":10.5,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143906652","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

Dynamic impacts of vegetation growth and urban development on microclimate and building energy consumption 植被生长和城市发展对小气候和建筑能耗的动态影响

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2025-04-16 DOI: 10.1016/j.scs.2025.106382

Hanxun Fu, Yuanhao Jiao, Lirui Deng, Wei Wang

{"title":"Dynamic impacts of vegetation growth and urban development on microclimate and building energy consumption","authors":"Hanxun Fu, Yuanhao Jiao, Lirui Deng, Wei Wang","doi":"10.1016/j.scs.2025.106382","DOIUrl":"10.1016/j.scs.2025.106382","url":null,"abstract":"<div><div>Urban heatwaves have emerged as a critical global challenge, exacerbating extreme weather conditions and contributing to higher building energy consumption. These challenges become particularly acute during the initial phases of urban expansion. While numerous studies have independently investigated vegetation's effects on outdoor microclimates and building energy efficiency, the dynamic interactions between vegetation growth, urban development, and heatwave mitigation remain underexplored. This research examines these evolving interrelationships through integrated analysis of outdoor microclimate parameters and indoor energy performance in the context of climate change, using the new campus of Southeast University in China as a case study. Four scenarios are developed based on different stages of tree growth and urban construction: climate change only, as plan, stop construction, add trees in plan. Both simulations and experiments are conducted to assess the impact of the dynamic changes in these scenarios. The long-term impacts of these factors on microclimate and building energy consumption are assessed by ENVI-met and EnergyPlus tools. The results indicate that after 60 years, vegetation growth can reduce the average site temperature by approximately 3 °C, expand areas of enhanced thermal comfort, and reduce total building cooling energy consumption by 15.5 %. Comparative analysis of the scenarios reveals that preserving existing trees or implementing early-stage plantation can significantly mitigate heatwave and reduce cooling energy demand. This research provides valuable insights for future urban renewal and sustainable city development, offering practical guidance for urban planners to optimize urban environments and improve energy efficiency.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106382"},"PeriodicalIF":10.5,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143864020","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

Global perspectives on digital twin smart cities: Innovations, challenges, and pathways to a sustainable urban future 数字孪生智慧城市的全球视角：创新、挑战和实现可持续城市未来的途径

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2025-04-16 DOI: 10.1016/j.scs.2025.106356

Maira Alvi, Hrishikesh Dutta, Roberto Minerva, Noel Crespi, Syed Mohsan Raza, Manoj Herath

{"title":"Global perspectives on digital twin smart cities: Innovations, challenges, and pathways to a sustainable urban future","authors":"Maira Alvi, Hrishikesh Dutta, Roberto Minerva, Noel Crespi, Syed Mohsan Raza, Manoj Herath","doi":"10.1016/j.scs.2025.106356","DOIUrl":"10.1016/j.scs.2025.106356","url":null,"abstract":"<div><div>The integration of digital twin (DT) technology within smart city frameworks is becoming increasingly significant in today’s digital age. As urban areas evolve into smart ecosystems characterized by interconnected devices and data-driven management systems, digital twins provide a dynamic approach to managing these smart cities. This paper delivers an in-depth exploration of the role of digital twins in advancing smart city frameworks, surveying recent research, methodologies, and case studies that highlight their applicability in urban management, including sectors like mobility, healthcare, energy management, and environmental monitoring. Additionally, the paper delves into the foundational concepts of digital twins and digital twin smart cities, presenting a multilayered structure that emphasizes the role of each layer in creating a comprehensive urban digital twin platform. We also examine the ongoing global digital twin projects based on their development maturity, discuss the challenges of deploying these systems, and explores emerging tools such as synthetic sensing for areas with limited sensor infrastructure. By summarizing the state of the art, identifying research gaps, and discussing future directions, this review serves as a foundational reference for researchers and practitioners seeking to harness digital twin technology for more sustainable, efficient, and resilient smart cities.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106356"},"PeriodicalIF":10.5,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143843442","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

Global warming likely compromises the annual performance of zero-energy buildings while the urban heat island effect exacerbates the impact 全球变暖可能会影响零能耗建筑的年度性能，而城市热岛效应则加剧了这种影响

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2025-04-16 DOI: 10.1016/j.scs.2025.106385

Yiman Zhao , Xiaotian Ding , Yifan Fan , Yongling Zhao , Jian Ge , Jan Carmeliet

{"title":"Global warming likely compromises the annual performance of zero-energy buildings while the urban heat island effect exacerbates the impact","authors":"Yiman Zhao , Xiaotian Ding , Yifan Fan , Yongling Zhao , Jian Ge , Jan Carmeliet","doi":"10.1016/j.scs.2025.106385","DOIUrl":"10.1016/j.scs.2025.106385","url":null,"abstract":"<div><div>Despite the significant impact of global warming and the urban heat island (UHI) effect on building energy demand, their combined effects are often overlooked, leading to inaccuracies in future energy performance evaluations of Zero-Energy Buildings (ZEBs). This study focused on an operational ZEB located in Virginia, USA, and investigated the impacts of global warming and UHI effect, using the Vatic Weather File Generator (VWFG) and Urban Weather Generator (UWG) models. Then, the influence of combined effect on the future energy demand is evaluated by Design Builder. Moreover, extreme climates are considered to assess the energy systems’ resilience. Results show that total energy demand for space heating and cooling is predicted to increase by 24% and 38% under the RCP4.5 and RCP8.5 scenarios from 2021 to 2100, driven by global warming and the UHI effect. For extreme climates under the RCP4.5 scenario, peak cooling and heating demands are expected to be 33% and 66% higher than the 80-year average, while rising to 39% and 71% under the RCP8.5 scenario, respectively. Furthermore, current climate-based designs are unlikely to enable renewable energy generation to meet zero-energy requirements by 2100. This framework is therefore essential for enhancing the accuracy and reliability of energy system design for ZEBs.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106385"},"PeriodicalIF":10.5,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143852224","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