{"title":"Non-invasive assessment of the visual environment using conditional generative adversarial networks","authors":"Sichen Lu , Dongjun Mah , Athanasios Tzempelikos","doi":"10.1016/j.buildenv.2025.113798","DOIUrl":"10.1016/j.buildenv.2025.113798","url":null,"abstract":"<div><div>Luminance monitoring within the field of view (FOV) is required for assessing visual comfort and overall visual preferences, but it is practically challenging and intrusive. As a result, real-time, human-centered daylighting operation remains a challenge. This paper presents a novel deep-learning based framework method to demonstrate that meaningful features in the occupant’s visual field can be extracted without invasive measurements. It is the first proof of concept to show that it is feasible to monitor luminance distributions as perceived by people, using a non-intrusive camera integrated with deep learning neural networks. A Conditional Generative Adversarial Network (CGAN), pix2pix is used to transfer information from non-intrusive images to FOV images. Two datasets were collected in an open-plan office with compact, low-cost High Dynamic Range Image (HDRI) cameras installed at two alternate locations (a wall or a monitor), to separately train two pix2pix models with the same target FOV images. The results show that the generated FOV images closely resemble the measured FOV images in terms of pixelwise luminance errors, mean luminance, and structural similarity. The main errors are due to bright scenes, visible through windows, confined to a very limited number of pixels. Overall, this work establishes a basis for future studies to assess the effect of visual environment on human perception using non-intrusive measurements. It also provides the theoretical foundation for a connected paper [<span><span>27</span></span>], which demonstrates that non-intrusive measurements and deep learning techniques can be used to discover daylight preferences and enable AI-assisted daylighting operation.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"287 ","pages":"Article 113798"},"PeriodicalIF":7.6,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145263959","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}
Argyris Oraiopoulos , Martin Wieser , Marion Verdiere , Rita Lambert , Pamela Fennell , Paul Ruyssevelt
{"title":"Improving habitability in informal settlements in the Global South: Exploring the impact of community urban green infrastructure on outdoor heat stress","authors":"Argyris Oraiopoulos , Martin Wieser , Marion Verdiere , Rita Lambert , Pamela Fennell , Paul Ruyssevelt","doi":"10.1016/j.buildenv.2025.113787","DOIUrl":"10.1016/j.buildenv.2025.113787","url":null,"abstract":"<div><div>Over 1 billion people currently live in informal settlements, which have become the predominant form of urbanisation, especially in the Global South. They are characterised by dense housing with inadequate access to infrastructure and services. Due to fragmented efforts to create and maintain urban green spaces the possibility of improving outdoor thermal conditions is limited. This study investigates the impact of small community parks on outdoor heat stress in José Carlos Mariátegui, an informal hillside settlement in Lima, Peru. A mixed-methods approach was employed, combining ground-based fixed-point measurements and satellite-derived land surface temperature data. Air temperature, humidity, wind speed, and solar radiation were recorded using a weather station on a sun-exposed rooftop and a compact data logger in a nearby shaded park. Spot solar radiation measurements were taken using a portable pyranometer. Satellite thermal imagery from Landsat 8 was processed using QGIS to assess spatial thermal patterns. The Universal Thermal Climate Index was applied to evaluate heat stress under both sun-exposed and shaded conditions. Results showed that the small park reduced average air temperature by 0.5 °C, with peak cooling of 3 °C in the morning hours. However, afternoon warming was observed, likely due to local topography and tree canopy effects. Despite this, shaded areas significantly reduced heat stress exposure—from 60 % to less than 20 % of daytime hours. The study highlights the importance of low-cost, context-sensitive green infrastructure in mitigating heat stress in resource-scarce urban environments. It offers actionable planning insights, essential for protecting public health in marginalised, low-income communities in the Global South.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"287 ","pages":"Article 113787"},"PeriodicalIF":7.6,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145263905","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}
Jianya Xiao , Kang Zhao , Jian Ge , Guoquan Lv , Ziling Jiang , Yucong Xue
{"title":"Wind energy potential analysis in urban building clusters: A climate-coupled approach with solar considerations","authors":"Jianya Xiao , Kang Zhao , Jian Ge , Guoquan Lv , Ziling Jiang , Yucong Xue","doi":"10.1016/j.buildenv.2025.113776","DOIUrl":"10.1016/j.buildenv.2025.113776","url":null,"abstract":"<div><div>In recent years, wind energy utilization in urban building clusters has become a research focus. While many studies have explored the impact of building configuration on wind energy potential, most of them do not take actual climatic conditions into account. In this study, a model is developed to evaluate the wind-solar energy potential for urban building clusters, utilizing CFD simulations and incorporating climate data. This model systematically examines how diverse spatial configurations and regional climate factors impact wind energy potential. Furthermore, the trade-offs between wind and solar energy potential are analyzed using Pareto frontiers to identify optimal spatial configurations. Results indicates the following: (1) incorporating climate data diminishes the sensitivity of wind energy potential to building orientation compared to simulations focused on a single wind direction; (2) crucial spatial factors, such as building height ratio, floor area ratio (FAR), significantly influence the wind energy potential of building clusters; and (3) the variation in wind direction highlights the importance of building orientation in the optimization process.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"287 ","pages":"Article 113776"},"PeriodicalIF":7.6,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145263843","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}
Weijing Luo , Yuan Yuan , Linting Wang , Quanxiu Liu , Leijun Li
{"title":"Neighborhood blue spaces as enabling places for emotional well-being: How does visual perception influence affective arousal and valence","authors":"Weijing Luo , Yuan Yuan , Linting Wang , Quanxiu Liu , Leijun Li","doi":"10.1016/j.buildenv.2025.113795","DOIUrl":"10.1016/j.buildenv.2025.113795","url":null,"abstract":"<div><div>A growing body of evidence suggests that exposure to blue spaces benefits health and well-being. However, the effects of neighborhood blue spaces with varying visual characteristics on affective responses remain underexplored from a neurocognitive perspective. The current study sought to decipher the influence of visual perception (encompassing both visual exposure and visual behavior) of neighborhood blue spaces on affective arousal and valence by integrating eye-tracking and functional near-infrared spectroscopy methods. Visual exposure was constructed by the naturalness of the space and the proportion of landscape elements. A 3 × 3 × 2 picture-set design was implemented, with 46 participants viewing the images in a virtual reality environment. Visual behavior was assessed using eye-tracking technology, while affective responses were measured through oxygenated hemoglobin levels and subjective evaluations. The results revealed that neighborhood blue spaces with a higher degree of naturalness were characterized by fewer fixation and saccade counts, larger mean pupil diameters, and higher levels of subjective relaxation, pleasure, and preference. Visual perception for specific landscape elements exhibited a stronger correlation with affective valence than with affective arousal. The visual proportion of, and fixation duration on, shrubs and traditional buildings were positively associated with affective valence. This study offers valuable insights into the emotional benefits of neighborhood blue spaces and has implications for the design of healthy neighborhoods and emotionally-enabling spaces. The findings suggest that when planning and designing neighborhood blue spaces, not only the natural components but also artificial components with cultural meanings, such as traditional buildings, should be considered.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"287 ","pages":"Article 113795"},"PeriodicalIF":7.6,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145219216","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}
{"title":"Review of HVAC forecasting and control strategies for improved building performance","authors":"Haokai Huang, Ben Richard Hughes","doi":"10.1016/j.buildenv.2025.113797","DOIUrl":"10.1016/j.buildenv.2025.113797","url":null,"abstract":"<div><div>Efficient Heating, Ventilation, and Air Conditioning (HVAC) operation strategies are critical to achieving both high energy efficiency and satisfactory Indoor Environmental Quality (IEQ) in modern buildings. Recently, data-driven strategies, particularly those leveraging Artificial Intelligence (AI) techniques, have demonstrated superior forecasting accuracy and adaptive control capabilities, enabling more responsive and efficient HVAC system management. This study summarises recent forecasting and control strategies for building HVAC systems, categorising them into three research perspectives namely, improving IEQ for occupants, enhancing HVAC energy efficiency for building managers, and intelligent methods in control and environmental analysis to support innovation for researchers. While data-driven methods demonstrate higher precision and flexibility, challenges remain regarding the dataset quality, uncertainty handling, computational cost, sim-real validation, and model interpretation. Hybrid methods that integrate model-based and data-driven techniques, along with advanced feature fusion and extraction, show strong potential to improve robustness, transparency, and generalisation of strategies in condition forecasting and building HVAC control. Furthermore, this study also finds that considering different time-scale information is a valuable direction to further enhance HVAC predictive control performance. Tackling these gaps will be pivotal for accelerating the deployment of next-generation HVAC control systems that can effectively balance energy efficiency and occupant comfort in large buildings.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"287 ","pages":"Article 113797"},"PeriodicalIF":7.6,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145263848","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}
{"title":"Homeowners’ priorities in residential building renovation: The role of demographic and socioeconomic factors","authors":"Wanlin Chen, Joseph H.K. Lai","doi":"10.1016/j.buildenv.2025.113791","DOIUrl":"10.1016/j.buildenv.2025.113791","url":null,"abstract":"<div><div>Understanding the preferences of homeowners from diverse demographic and socioeconomic backgrounds is critical to decision-making in residential building renovations. However, this area has received limited attention in prior research. To address this gap, this study employed a multi-stage methodology. First, a systematic literature review combined with expert interviews identified 33 housing renovation performance indicators potentially concerned by homeowners. Then, a questionnaire survey was undertaken to collect data on homeowners’ demographic and socioeconomic characteristics and their perceived importance of the indicators. The collected data were analyzed using mean ranking analysis, intraclass correlation coefficient and the Kruskal-Wallis test followed by post-hoc Dunn’s test. The findings reveal that, overall, the mean importance ratings of the performance indicators are consistent across different demographic and socioeconomic subgroups, and “building lifespan” was rated by most groups as the most important indicator. Nevertheless, significant variations in the perceived importance of several indicators existed among different subgroups: men prioritize prestige and status more than women; the elderly place greater importance on both indoor natural daylighting and public lighting; homeowners with secondary education levels show stronger preferences for acoustic comfort than less-educated counterparts; lower-income residents value green and social spaces more; small families are more concerned with residential density; and homeowners with shorter residence care more about fire safety. The underlying reasons for these variations were further examined through in-depth interviews, and practical implications for renovation strategies were identified. The study concludes by beaconing future research directions to further improve decision-making for ageing residential building renovation.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"287 ","pages":"Article 113791"},"PeriodicalIF":7.6,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145219213","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}
{"title":"A systematic literature review on occupant behaviour modelling for residential building performance simulation in future climate change scenarios","authors":"Danillo Viana Andrade Reis , Marcel G.L.C. Loomans , Magdalena Hajdukiewicz","doi":"10.1016/j.buildenv.2025.113796","DOIUrl":"10.1016/j.buildenv.2025.113796","url":null,"abstract":"<div><div>This systematic review explores the new topic of occupant behaviour (OB) modelling for building performance analysis of residential buildings in future climate change scenarios. The research provides an overview of how occupants are typically simulated in studies related to multi-domain building performance, with focus on three performance domains: thermal, energy and air quality. Furthermore, it explores different approaches to modelling occupants’ characteristics, presence and adaptive behaviour traits. It discusses aspects of diversity, stochasticity and uncertainty regarding occupants’ actions. Finally, it describes a social practice method that might be utilised in residential building simulation, by creating scenarios of household dynamics for future changing society. The results of this literature review indicate that the current approach to OB modelling for multi-domain building performance is mostly oversimplified. Current OB models typically include a single occupancy scenario and do not account for behavioural changes other than thermal adaptation. However, a new generation of OB models present alternatives to account for the diversity, stochasticity, and uncertainty of occupant behaviour. These create multiple occupancy scenarios with data from national surveys, develop stochastic OB models from previous field studies and employ uncertainty/sensitivity analysis into deterministic models. The review found that the application of social practices might allow the development of future scenarios of living to be integrated into future studies of residential building simulation. This review recommends that future research develops occupant behaviour models through the exploration of datasets, creates diverse scenarios of OB modelling and accounts for changes in occupancy dynamics in future scenarios.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"287 ","pages":"Article 113796"},"PeriodicalIF":7.6,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145263852","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}
Jing Xiong , Toby Cheung , Yuta Fukawa , Nadine Noelle , Thomas Parkinson , Jungsoo Kim , Shin-ichi Tanabe , Richard de Dear , Stefano Schiavon
{"title":"Measuring what matters: A benchmarking system for occupant satisfaction with workspace environments","authors":"Jing Xiong , Toby Cheung , Yuta Fukawa , Nadine Noelle , Thomas Parkinson , Jungsoo Kim , Shin-ichi Tanabe , Richard de Dear , Stefano Schiavon","doi":"10.1016/j.buildenv.2025.113783","DOIUrl":"10.1016/j.buildenv.2025.113783","url":null,"abstract":"<div><div>Occupant satisfaction with the physical environment of the workplace is a key metric of office building performance. To date, no clear consensus exists on how to fairly compare satisfaction levels between buildings or benchmark workspace designs. This study analyses 93,153 Post-Occupancy Evaluation (POE) survey responses from the United States, Australia, Japan, and Singapore to identify systematic differences between countries and establish empirical benchmarks across key aspects of office workspaces. Results show that Singaporean offices achieve the highest overall workspace satisfaction (79%), followed by the United States (68%), Australia (65%) and Japan (39%). The United States and Australian databases display broadly comparable patterns across workspace aspects, with only minor differences in temperature, acoustics, and privacy. In contrast, significant differences are observed in the Japanese and Singaporean datasets compared with Western counterparts. Rather than applying a fixed performance target, such as the widely used 80% satisfaction rate, we propose empirically derived benchmarks based on the distribution of satisfaction rates observed in each survey. Performance levels are then categorized into a 3-star ranking, where 3 stars denotes the highest performance (above the 80th percentile) and 1 star the lowest (below the 30th percentile). This approach enables building rating schemes to assign credits more equitably and helps managers benchmark performance more effectively. The study also provides a method for determining the minimum sample size needed for representative POE survey results.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"287 ","pages":"Article 113783"},"PeriodicalIF":7.6,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145263958","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}
Shen Xu , Siyi Liu , Chi Zhang , Shuangquan Shao , Hongbo Li , Xufeng Chen , Minghao Wang
{"title":"Synergistic effects of spatial morphology and thermal comfort on pedestrian activities in residential areas: A field-based study in Wuhan, China","authors":"Shen Xu , Siyi Liu , Chi Zhang , Shuangquan Shao , Hongbo Li , Xufeng Chen , Minghao Wang","doi":"10.1016/j.buildenv.2025.113782","DOIUrl":"10.1016/j.buildenv.2025.113782","url":null,"abstract":"<div><div>Both outdoor attendance and behavioral activities are significantly affected by the interplay between spatial morphology and environmental comfort. However, limited research has clearly elucidated the interrelationship among outdoor spatial morphology, thermal comfort, and spatial vitality. The aim of the study was to explore the synergistic influence mechanism of outdoor spatial morphology and thermal comfort on pedestrian activities to predict the usage patterns of different communal spaces. A comprehensive dataset covering microclimate, thermal sensation, and outdoor activities was obtained through field measurements over six typical days in both summer and winter. By introducing structural equation modeling (SEM), this study identified the influence paths by which spatial, environmental, and behavioral factors affect spatial vitality. The results indicate that: (1) The effective outdoor thermal comfort temperature range for Wuhan residents is between 7.77 °C and 36.87 °C, with peak comfort occurring at a Universal Thermal Climate Index (UTCI) of approximately 22.33 °C. (2) In winter, outdoor activities peak around 11:00 a.m. and 4:00 pm.; in summer, peaks occur before 10:00 a.m. and after 4:00 pm. Spatial connectivity, accessibility, and sky view factor were key spatial factors influencing vitality (factor loadings: 0.84, 0.71, and 0.80). Thermal comfort was the most influential thermal perception variable (loading = 0.65), while age was the most significant individual factor (loading = 0.85). (3) Greater spatial openness enhances residents’ environmental sensitivity, with steeper and more accurate UTCI–activity relationships. This study quantifies how spatial morphology, outdoor environment, and demographics shape spatial vitality, offering guidance for optimizing residential outdoor space design.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"287 ","pages":"Article 113782"},"PeriodicalIF":7.6,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145219262","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}
{"title":"Cluster-based multiscale attribution and spatial mechanism optimization of urban heat and cold islands in Beijing","authors":"Yushan Liu, Zhuang Shao, Jing Zhao","doi":"10.1016/j.buildenv.2025.113784","DOIUrl":"10.1016/j.buildenv.2025.113784","url":null,"abstract":"<div><div>Amid accelerating urbanization and climate change, it has become increasingly urgent to understand the spatial mechanisms governing heat and cold island dynamics in megacities. This study establishes an integrated, cluster-based typological framework by combining multi-source data with interpretable machine learning, statistical modeling, and spatial network analysis, aiming to disentangle the drivers and spatial organization of urban thermal environments in Beijing. Our analysis demonstrates that: (1) Intense built-up density and insufficient ecological buffering are primary contributors to urban heat intensification. (2) Regulatory mechanisms differ between heat and cold islands. In heat island zones—especially where space is constrained and blue–green coverage is limited—vegetation functions as the dominant and resilient cooling agent, whereas in cold island formation, large, contiguous water bodies and vegetated buffers play a crucial role by facilitating ventilation and delivering broad, sustained cooling effects. (3) Urban thermal resilience or vulnerability is closely tied to both spatial heterogeneity and connectivity of thermal patterns. Well-connected cold island backbones enable broader and more sustainable citywide cooling, whereas fragmented or isolated patches offer limited mitigation. Conversely, “enclosure-core” spatial configurations—such as the Urban Commercial–Business Area surrounding the Metropolitan Core Area—exacerbate heat entrapment by limiting ventilation and intensifying internal thermal buildup. These findings advance understanding of how urban form, landscape structure, and functional zoning jointly influence heat risk, and provide an operational framework to inform adaptive, differentiated strategies for thermal mitigation and sustainable urban planning.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"287 ","pages":"Article 113784"},"PeriodicalIF":7.6,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145219214","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}