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The coronavirus disease 2019 (COVID-19) pandemic has been reported to have a major impact on the mental health of an individual. Healing the mental stress, anxiety, depression and insomnia of an individual's immediate surroundings play a major role. Therefore, this study reviews how the built environment impacts the healing of an individual's state of mind.

Various works of literature on healing environments were analysed to create frameworks that can facilitate psychological healing through architectural elements. Articles were selected from various journals like SAGE, PubMed, Journal of Applied and Computational Mechanics (JACM), Routledge Taylor and Francis, Journal of Contemporary Urban Affairs (JCUA), ScienceDirect, and Emerald databases, news articles, official web pages, and magazines that have been referred.

Indicators (spatial, sensory comfort, safety, security, privacy and social comfort) are linked to sub-indicators (access, distractions and views) and design characteristics (indoor climate, interior view, outside view, privacy, communication, noise, daylighting, temperature) which help in better connection of the built environment with individual's mental health. From the above indicators, sub-indicators and design characteristics, the authors have come to a conclusion that a view to the outside with better social interaction has an in-depth effect on an individual's mental health.

This study predominantly talks about healing in hospitals but quarantining of COVID-19 patients happens in residences too. So, it is important to find the healing characteristics in residences and in which typology the recovery process is high.

This paper has been written completely by the author and the co-authors and has not been copied from any other sources.

This literature review paper aims to discuss the impacts and measures taken on Covid-19 with respect to architecture, built form and its allied fields along with observations from around the world with the end results of its implementation.

Various research journals from Science Direct and Taylor and Francis among others were referred and reviewed to learn more on Covid-19 along with its impacts on people and their built environment. Keywords that aligned with the topic of interest like pandemic, Covid-19, coronavirus, urban spaces, built environment and built-up space were identified. Research papers that aligned with the scope of the paper and its keywords were found. An excel sheet with the basic data of these papers was written down. The essence of each of these articles were understood and linked with the topic in hand. A review of all these papers was written coherently to the topic. Future scope in this field of study was also identified.

It discusses the various measures taken around the world in built-up spaces along with the various measures given by researchers, architects and urban planners to mitigate and reduce the transmission of Covid-19 in the built environment and urban spaces. The discussed measures along with observations from around the world have also been discussed with its end results. Discussions and conclusions on these design strategies and recommendations are made with the anticipation of a paradigm shift due to post-pandemic changes. Current scenarios of public spaces in densely populated countries are discussed. Future scope in this ongoing field of study includes measures that can be taken in specific to some particular built-up typologies like markets, theaters, parks, bazaars, etc.

The limitation of this study is the restricting of the study of Covid-19 to only architectural, urban and public realm scales. The study does not facilitate the involvement of other fields and their influence with Covid-19.

This paper has been completely written by the author and the co-authors and has not been copied from any other sources.

Science mapping is an essential application of visualization technology widely used in safety, construction management and environmental science. The purpose of this study was to explore thermal comfort in residential buildings (TCinRB) research in India, identify research trends using a science mapping approach and provide a perspective for recommending future research in TCinRB.

This study used the VOSviewer tool to conduct a systematic analysis of the development trend in TCinRB studies in India based on Scopus Index articles published between 2001 and 2020. The annual numbers of articles, geographical locations of studies, major research organizations and authors, and the sources of journals on TCinRB were presented based on the analysis. Then, using co-authorship analysis, the collaborations among the major research groups were reported. Furthermore, research trends on TCinRB studies were visually explored using keyword co-occurrence analysis. The emerging research topics in the TCinRB research community were discovered by analyzing the authors’ keywords.

The findings revealed that studies had been discovered to pay more attention to north-east India, vernacular architecture, Hyderabad apartments and temperature performance in the past two decades. Thermal adaptation, composite climate, evaporative cooling and clothing insulation are emerging research areas in the TCinRB domain. The findings summarized mainstream research areas based on Indian climatic zones, addressed current TCinRB research gaps and suggested future research directions.

This review is particularly significant because it could help researchers understand the body of knowledge in TCinRB and opens the way for future research to fill an important research gap.

Those who believe they excel at architecture or engineering education are more likely to succeed based on self-efficacy principles. To investigate educator self-efficacy and success in the Online Learning Environment (OLE), a set of relationships are observed which describe correlations between experience and potential.

An online survey instrument was distributed the fall after COVID-19 university closures. Respondents were asked to reflect on their level of experience teaching and their ability to teach online. All analyzed data were subjected to descriptive and inferential statistics using the SPSS 22.0 statistical software package. The compatibility of the variables with normal distribution was tested using the Kolmogorov–Smirnov and Shapiro–Wilk methods. Variables comparisons were performed using non-parametric tests (Kruskal Wallis test, Mann Whitney U test). The relationships between quantitative variables were examined using the Spearman Rank Correlation and comparisons formed from the qualitative variables were tested using the Pearson Chi-Square and Fisher Exact methods.

Educator self-efficacy was determined throughout the COVID-19 transition. Possessing online teaching experience is related to the perceptions that architectural education can be delivered entirely online. A relationship was found for educators who previously taught using OLE and who had experience with delivering and developing OLE.

It is incumbent on educators and administrators to continue to learn how to best accommodate student learning. The strong relationship for R1: Total teaching experience (IV) and perceptions of whether AEC education can be delivered completely online, points to having educators with a depth of experience and being open to change. The strong relationship shown for R2: Have you ever taught using an online method before January 2020 and Experience in developing online materials demonstrates that a variety of experience will also support educators in a time of change. These relationships illustrate how educator efficacy can provide support for educators during times of crisis.

U.S. Architectural and Architectural Engineering educator pandemic OLE self-efficacy has not been previously been a focus of research efforts. This research adds to the body of knowledge by demonstrating how relationships between teaching experience and OLE can encourage educator self-efficacy during a crisis. Statistical analyses found a strong relationship between total teaching experience and perceptions that AEC education can be delivered completely online. A strong relationship was found between online teaching experience and positive experiences in developing online materials.

This study analyzes the effect of the techniques of active teaching and learning as a way of delivery on the outcomes of quality learning. Focusing on the courses of architectural science taught in a nontraditional method using various active learning strategies, the study takes the case study of the course Building Illumination and Acoustics (BIA) delivered in the academic year 2019–2020 at the University of Sharjah (UoS)'s Architectural Engineering Department (AED).

Utilizing both quantitative and qualitative research approaches, the study applied a case study and survey as methods. A questionnaire was designed and performed to assess the level of students' satisfaction with the implemented active teaching method.

The vibrant learning setting made the students actively engaged and more motivated and enthusiastic. The active learning practices used, including employing senses as in sight and hearing, reasoning rationally and intuitively, reflecting and acting, working steadily and in fits and starts, creating mathematical models, visualizing and memorizing and drawing analogies, were efficient in boosting their ability to comprehend theoretical concepts more effectively. The delivery style effectively enhances quality learning when various active techniques are used pedagogically beyond being merely a utilitarian instrument to prepare novice students of architectural engineering to fulfill practical challenges.

This article focuses specifically on a theoretical, scientific non-studio course in a particular program of architectural engineering in a particular semester before the dramatic changes in styles of teaching delivery that happened due to the COVID-19 pandemic. Future research could further highlight its results by comparing them to statistical evidence of the development of the course, especially for the duration of online teaching during the pandemic and the hybrid teaching period after it.

This article contributes to the development of teaching and learning of architectural engineering in the local Emirati context by putting original theories of teaching into practice. This paper further contributes to the field of architectural pedagogy in terms of the effect of active learning in the architecture field in the non-studio courses in higher education in the United Arab Emirates.

This paper examines the early pandemic experience in a large metropolitan area to differentiate the roles of the lifestyle and built environment factors associated with differing case rates across neighborhoods.

This paper develops a simple empirical methodology for sorting out the separate effects of lifestyle and the built environment factors along with their interactive effects when individuals’ behaviors not only reflect their observable characteristics but also are influenced by the physical environments in which they live and work, indirect connections implied by the early insights of Jacobs (1961) and more recently Hawley and Turnbull (2019).

The results demonstrate that lifestyle factors tied to employment show the strongest association with COVID-19 cases. Other lifestyle choices, built environment features, and demographic attributes such as household size, principal cities, highway connectivity, and population density also affect COVID-19 transmission at the onset of the disease outbreak. The analysis reveals a surprising spatial pattern; employment-related lifestyle factors on case rates in outlying neighborhoods are stronger than in neighborhoods within primary cities after accounting for various built environment factors.

This research addresses important questions and the perplexing outcomes related to lifestyle and the built environment’s multi-faceted role in spreading COVID-19. In addition, this study represents a pioneering effort in disentangling the pure lifestyle effect on virus transmission after eliminating potentially confounding impacts of built environment factors on household behavior that in turn influence virus transmission.

City planning and construction have embraced circular economy principles, converting them into various indicators. Particularly in the European context, the question “what architecture for circularity?” is answered with policies focusing on techniques, materials and disassembling construction. This paper analyzes a new approach to sustainable design and explores the concept of Km0 architecture. The objective is to demonstrate the design strategies of a contemporary architecture based on local resources and knowledge, an architecture that works with the shortest possible loop in circularity, i.e. with the cycle that consumes the least amount of energy.

The paper presents two ways of understanding sustainability in architecture: the first as a result of policies and the second associated with the design and innovative-based New European Bauhaus initiative. Within the scope of this last understanding, the authors analyze three cases on the Spanish Mediterranean coast that have recently received media attention and prominence. The selection responds to a specific climate adaption through a certain typological and functional diversity of the works.

The studied cases exhibit a more equitable and cost-effective circularity based on the time factor, have long life-cycle designs and serve as repositories of cultural identity. Km0 architecture reduces emissions using local resources and mitigates environmental conditions by combining traditional and modern design strategies.

This paper fulfills an identified need to study the local understandings of the built environment that would ensure a more fair and inclusive European green transformation.

The fundamental aim of the study is to investigate the implications of labor housing designs in Dubai, with a focus on courtyards and the governing building regulations, on daylight performance as an underlying factor impacting laborers’ indoor environmental quality. Several studies shed light on the subject of labor camps and labor migration in Dubai, but few have focused on the subject from the perspective of the environmental performance of these camps. A model that represents one of the labor camps was built using Rhinoceros 7.0 and Grasshopper software packages. Annual daylighting and glare simulations were carried out using the lighting modeling engine RADIANCE 5.0 in conjunction with the “ClimateStudio”.

The construction sector has emerged as a significant economic development driver, attracting a diverse labor force from a variety of countries to Dubai. As a result, Dubai authorities have implemented several measures to ensure the provision of suitable housing facilities for its labor force. These measures contribute to the reduction of energy costs in labor housing by encouraging the use of renewable energy. While several studies shed light on the subject of labor camps and labor migration in Dubai, few have focused on the subject from the perspective of the environmental performance of these camps.

The study provided statistical evidence that the current regulations governing courtyards in labor housing resulted in significant changes in daylight levels across different floor levels of the labor housing units. It is suggested that both 2:3 and 3:4 Court Width-to-Height ratios would further contribute to a more consistent daylight Illuminance with marginal statistical differences between floor levels (p > 0.05). The 3:4 ratio, on the other hand, offers a consistent distribution across all floor levels in the North and South with negligible variances, although weakly significant differences can be yet expected between the first and fourth floors in the East and West orientations (p < 0.05). The results of Annual Sunlight Exposure (ASE) suggest excessive solar incidence and a high probability of glare, which remains a problem that must be addressed under the governing building regulations.

This study could serve as a framework for analyzing and contrasting the findings of other studies on labor accommodation, notably in the Gulf Cooperation Council (GCC) countries. Such an approach has the potential to enhance living conditions in labor accommodations in Dubai and other areas. It is necessary to meet people' physical and psychological well-being while also addressing sustainability and regulatory compliance.

This paper aims to explore and analyse stakeholders’ perceptions of the development priorities and suggests more effective strategies to assist sustainable economic growth in the United Arab Emirates (UAE).

The authors use the World Bank data set, which collects various stakeholders’ opinions on the UAE development. First, the exploratory factor analysis has been applied to detect the main groups of development priorities. Second, the fuzzy cluster analysis has been conducted to detect the groups of stakeholders with different attitudes towards the importance of extracted groups of priorities. Third, clusters have been compared according to demographics, media usage and shared prosperity goals.

The two main groups of development priorities have been extracted by the exploratory factor analysis: economic priorities and sustainability priorities. Four clusters have been detected according to the level of motivation when it comes to the economic and sustainability priorities: Cluster 1 (High economic – High sustainability), Cluster 2 (High economic – Medium sustainability), Cluster 3 (High economic – Low sustainability) and Cluster 4 (Low economic – Low sustainability). Members of the cluster that prefer a high level of economic and sustainability priorities (Cluster 1) also prefer more diversified economic growth providing better employment opportunities and better education and training for young people in the UAE.

Limitations stem from the survey being conducted on a relatively small sample using the data collected by the World Bank; however, this data set allowed a comparison of various stakeholders. Future research should consider a broader sample approach, e.g. exploring and comparing all of the Gulf Cooperation Council (GCC) countries; investigating the opinions of the expatriate managers living in the UAE that are not from GCC countries; and/or including other various groups that are lagging, such as female entrepreneurs.

Several practical implications were identified regarding education and media coverage. Since respondents prioritize the economic development factors over sustainability factors, a media campaign could be developed and executed to increase sustainability awareness. A campaign could target especially male citizens since the analysis indicates that males are more likely to affirm high economic and low sustainability priorities than females. There is no need for further diversification of media campaigns according to age since the analysis did not reveal relevant differences in age groups, implying there is no inter-generational gap between respondents.

This paper contributes to the literature by comparing the perceived importance of various development goals in the UAE, such as development priorities and shared prosperity indicators. The fuzzy cluster analysis has been used as a novel approach to detect the relevant groups of stakeholders in the UAE and their developmental priorities. The issue of media usage and demographic characteristics in this context has also been discussed.

Phishing is one of the major threats affecting businesses worldwide in current times. Organizations and customers face the hazards arising out of phishing attacks because of anonymous access to vulnerable details. Such attacks often result in substantial financial losses. Thus, there is a need for effective intrusion detection techniques to identify and possibly nullify the effects of phishing. Classifying phishing and non-phishing web content is a critical task in information security protocols, and full-proof mechanisms have yet to be implemented in practice. The purpose of the current study is to present an ensemble machine learning model for classifying phishing websites.

A publicly available data set comprising 10,068 instances of phishing and legitimate websites was used to build the classifier model. Feature extraction was performed by deploying a group of methods, and relevant features extracted were used for building the model. A twofold ensemble learner was developed by integrating results from random forest (RF) classifier, fed into a feedforward neural network (NN). Performance of the ensemble classifier was validated using k-fold cross-validation. The twofold ensemble learner was implemented as a user-friendly, interactive decision support system for classifying websites as phishing or legitimate ones.

Experimental simulations were performed to access and compare the performance of the ensemble classifiers. The statistical tests estimated that RF_NN model gave superior performance with an accuracy of 93.41 per cent and minimal mean squared error of 0.000026.

The research data set used in this study is publically available and easy to analyze. Comparative analysis with other real-time data sets of recent origin must be performed to ensure generalization of the model against various security breaches. Different variants of phishing threats must be detected rather than focusing particularly toward phishing website detection.

The twofold ensemble model is not applied for classification of phishing websites in any previous studies as per the knowledge of authors.