Fangcang shelter hospitals are a novel public health concept. They were implemented for the first time in China in February, 2020, to tackle the coronavirus disease 2019 (COVID-19) outbreak. The Fangcang shelter hospitals in China were large-scale, temporary hospitals, rapidly built by converting existing public venues, such as stadiums and exhibition centres, into health-care facilities. They served to isolate patients with mild to moderate COVID-19 from their families and communities, while providing medical care, disease monitoring, food, shelter, and social activities. We document the development of Fangcang shelter hospitals during the COVID-19 outbreak in China and explain their three key characteristics (rapid construction, massive scale, and low cost) and five essential functions (isolation, triage, basic medical care, frequent monitoring and rapid referral, and essential living and social engagement). Fangcang shelter hospitals could be powerful components of national responses to the COVID-19 pandemic, as well as future epidemics and public health emergencies.

Fangcang shelter hospitals: a novel concept for responding to public health emergencies

Construction and demolition waste management contributing factors coupled with reduce, reuse, and recycle strategies for effective waste management: A review

Critical management practices influencing on-site waste minimization in construction projects.

total facilities management google books, total facilities management ocs, facility management wikipedia, what is fm definition of facility management, total facilities management ne ltd home facebook, espo the benefits of total facilities management, engie total facilities management the chartered, total facilities management pcsi, facilities management jobs careers amp recruitment totaljobs, sbs total facilities management ltd overview free, tad total facilities management, total facilities management limited, total facilities management htw berlin, connecting australia s fm community total facilities, facilities management from a to z the fm guru consultancy, total facility, sbs total facilities management ltd providing nationwide, total facilities management home, facilities management services ocs group uk, espo the benefits of total facilities management, espo 676 total facilities management solutions, facilities management services ocs group uk, facilities management jobs careers amp recruitment totaljobs, total facilities management birmingham acivico, total facility management ltd, total facilities management duval fm ltd, connecting australia s fm community total facilities, total facility, bidvest facilities management official site, facilities management archives total facilities, total facilities management sete energy, facilities management market to reach us 1887 19 bn by, business sectors farnek total facilities management, facilities management in malaysia myiem org my, total facility management amazon co uk brian atkin, total facilities management tfm services ocs ireland, total facilities management brian atkin adrian brooks, total facility management 4th edition book, total facilities management tfm services ocs ireland, total facilities management google books, facility management wikipedia, total facility management brian atkin adrian brooks, total facilities management google books, what is a total facilities management solution blog, total facility management 4th edition wiley com, fairclough maintenance london m amp e contractors canary, total facilities management facilities vol 12 no 13, espo 676 total facilities management solutions, total facilities management home, bidvest facilities management official site, total facilities management flexible uk facilities, a practical introduction to facilities management, facilities management from a to z the fm guru consultancy, total facilities management abilityone gov, farnek total facilities management facilities, total facilities management pcsi, facilities management total facilities management services, total facilities management flexible uk facilities, total facilities management abilityone gov, total facilities management google books, total facilities management gaborone botswana facebook, what is a total facilities management solution blog, total facilities management limited linkedin, engie total facilities management the chartered

Total Facilities Management

Optimising material procurement for construction waste minimization: An exploration of success factors

During the COVID-19 pandemic, which has caused an unprecedented health and economic crisis around the globe, several countries, such as China and U.K., developed makeshift hospitals by converting public venues of other intended use (e.g., stadiums, convention centers, exhibition centers, gymnasiums, factories, and warehouses) to medical facilities, aiming to achieve in very little time a substantial upgrade of the health system's capacity. This change management capability is among the fundamental elements of infrastructure futureproofing, i.e., the process of making provision for future developments, needs or events that impact on particular infrastructure through its current planning, design, construction, or asset management processes. This article utilizes the limited available experience from these makeshift hospitals to shed light on the critical design parameters efficiently enabling the infrastructure to adapt to required changes in structure and/or operations. However, futureproofing should not be a standalone component but should be efficiently embedded in asset management practice. For this purpose, this article also proposes an appropriate associated delivery paradigm encompassing value management and building information modeling to allow the asset owners and designers to efficiently incorporate flexibility in their design planning. The structured approach of value management can be used to ensure that the project's characteristics are aligned to the public client's requirements for futureproofing while a BIM-based design management paradigm is particularly appropriate, as it allows for design changes to be shared, visualized, estimated, and resolved without the use of time-consuming paper transactions.

/pdf/emergency-healthcare-facilities-managing-design-in-a-post-3i24o7giqx.pdf

Emergency Healthcare Facilities: Managing Design in a Post Covid-19 World

Accurate cost estimation in the preliminary stages of project development is critical for making informed planning decisions. However, such early estimates are typically restricted by limited infor...

/pdf/early-bill-of-quantities-estimation-of-concrete-road-bridges-3pe436dere.pdf

Early Bill-of-Quantities Estimation of Concrete Road Bridges: An Artificial Intelligence-Based Application:

Purpose – The purpose of this paper is to present an artificial neural network (ANN) model that predicts earthmoving trucks condition level using simple predictors; the model's performance is compared to the respective predictive accuracy of the statistical method of discriminant analysis (DA). Design/methodology/approach – An ANN-based predictive model is developed. The condition level predictors selected are the capacity, age, kilometers travelled and maintenance level. The relevant data set was provided by two Greek construction companies and includes the characteristics of 126 earthmoving trucks. Findings – Data processing identifies a particularly strong connection of kilometers travelled and maintenance level with the earthmoving trucks condition level. Moreover, the validation process reveals that the predictive efficiency of the proposed ANN model is very high. Similar findings emerge from the application of DA to the same data set using the same predictors. Originality/value – Earthmoving trucks’...

Earthmoving trucks condition level prediction using neural networks

The recent advances in Internet of Things (IoT), computational analytics, processing power, and assimilation of Big Data (BD) are playing an important role in revolutionizing maintenance and operations regimes within the wider facilities management (FM) sector. The BD offers the potential for the FM to obtain valuable insights from a large amount of heterogeneous data collected through various sources and IoT allows for the integration of sensors. The aim of this article is to extend the exploratory studies conducted on Big Data analytics (BDA) implementation and empirically test and categorize the associated drivers and challenges. Using exploratory factor analysis (EFA), the researchers aim to bridge the current knowledge gap and highlight the principal factors affecting the BDA implementation. Questionnaires detailing 26 variables are sent to the FM organization in the U.K. who are in the process or have already implemented BDA initiatives within their FM operations. Fifty-two valid responses are analyzed by conducting EFA. The findings suggest that driven by market competition and ambitious sustainability goals, the industry is moving to holistically integrate analytics into its decision making. However, data quality, technological barriers, inadequate preparedness, data management, and governance issues and skill gaps are posing to be significant barriers to the fulfillment of expected opportunities. The findings of this study have important implications for FM businesses that are evaluating the potential of the BDA and IoT applications for their operations. Most importantly, it addresses the role of the BD maturity in FM organizations and its implications for perception of drivers.

https://myresearchspace.uws.ac.uk/ws/files/13380112/2019_11_26_Konanahalli_et_al_Drivers_accepted.pdf

Drivers and Challenges Associated With the Implementation of Big Data Within U.K. Facilities Management Sector: An Exploratory Factor Analysis Approach

https://2015.creative-construction-conference.com/CCC2015_proceedings/CCC2015_29_Fragkakis.pdf

Marina Marinelli

Papers

Emergency Healthcare Facilities: Managing Design in a Post Covid-19 World

Early Bill-of-Quantities Estimation of Concrete Road Bridges: An Artificial Intelligence-Based Application:

Earthmoving trucks condition level prediction using neural networks

Drivers and Challenges Associated With the Implementation of Big Data Within U.K. Facilities Management Sector: An Exploratory Factor Analysis Approach

Preliminary Cost Estimate Model for Culverts