Purpose: This study investigates the relationships between the built environments of learning commons and user productivity, such as collaborative and individual work productivity and overall environmental satisfaction.Design/methodology/approach: A case study was conducted in a learning commons building at a higher education campus in the USA. The data collection and analysis were conducted with the survey responses of satisfaction with indoor environments and perceived productivity as well as the objective indoor environmental quality (IEQ) measurements. Statistical analysis was performed, including descriptive analysis, principal component analysis (PCA), regression analysis and ANOVA test.Findings: The study presents that satisfaction with noise level is positively associated with individual productivity. The results imply that the spatial properties of open-plan commons, such as visibility and accessibility, are associated with space users' interactions and collaborative productivity. Overall satisfaction is in a positive relationship with lighting satisfaction, study supporting artifacts and furniture configuration. The results of this study reveal the importance of meeting the standards in IEQ factors on individual productivity and the spatial features preferred by space users that facilitate tasks and activities.Originality/value: The mixed-method approach, including subjective and objective data collection of IEQ, is rarely utilized to show the relationships with perceived productivity. This study investigates a unique building design feature such as step seats in relation to space use and perceived productivity. The findings inform library leadership about environmental characteristics related to the user experience in learning commons, a new format of academic libraries.

The timing, amount, and quality of sleep are critical for an individual’s health and quality of life. This paper provides a focused narrative review of the existing literature around multidimensional environments and sleep health for aging adults. Five electronic databases, Scopus, Web of Science, PubMed/Medline; EBSCOhost, PsycINFO (ProQuest), and Google Scholar yielded 54,502 total records. After removing duplicates, non-peer reviewed academic articles, and nonrelevant articles, 70 were included for review. We were able to categorize environmental factors into housing security, home environment, and neighborhood environment, and, within each environmental category, specific elements/aspects are discussed. This paper provides a comprehensive map connecting identified levels of influence (individual, home/house, and neighborhood-level) in which subfactors are listed under each level of influence/category with the related literature list. Our review highlights that multidimensional environmental factors can affect aging adults’ sleep health and eventually their physical, mental, and cognitive health and that sleep disparities exist in racial minorities in socioeconomically disadvantaged communities in which cumulative environmental stressors coexist. Based on this focused narrative review on the multidimensional sleep environments for aging adults, knowledge gaps are identified, and future research directions are suggested.

Although the term “green leasing” is not yet well defined, its primary purpose is clear. With an aim to create a collaborative environment through legal provisions between a building owner and a tenant, green leasing may ultimately help resolve the energy paradox in tenanted properties. Issues surrounding split-incentives are driven by a mismatch between owners' capital expenditures on improving building energy efficiency and an uncertainty of tenant or occupant behavior that might affect a building's energy consumption. Though some countries have started to develop guidelines promoting the adoption of green leasing, especially in government buildings and commercial real estate, implementation has not been overly successful globally. This study has two focuses, the first of which is to compare green leasing guidelines from various countries and to suggest six comprehensive categories of green leasing components: management relationships, information sharing, certificates, legal stipulations, financial factors, and operation. The second core area of research places government-tenanted properties' lease agreement contracts. The goal is to find any evidence in a legal condition between a building owner and a tenant, in this case federal government, to improve building energy efficiency with less environmental impact in the United States. The findings of the study indicated 41 out of 400 leases had green clauses. Three out of six categories proposed in this study were found in the U.S. government-tenanted properties, while the other three types were not shown. The findings of this study also suggest categories of green leasing clauses can contribute to defining green leasing and provide empirical evidence of green leasing in governmenttenanted properties. Ultimately, this study produces arguments for possible reasoning behind the employment of some green lease categories but the lack of use of others, specifically in the U.S. office market and government-tenanted buildings.

The purpose of this paper is to discover the current methods that facility managers use to manage and track assets and identify a set of attributes for Building Information Modelling (BIM) that can improve the efficiency of the current facility management (FM) practice. A survey of over 100 facility management professionals addressed demographics such as industry sector, number of buildings managed, and use of industry standards or internally developed guidelines for data management. This information is correlated with their current asset management strategies to identify minimum sets of attributes that may be used for an FM-specific BIM. In addition, the survey asked the FM professionals their opinion on the importance of specific asset attributes and data management information that could be included in a BIM for FM. The findings of this paper indicate that there is a consensus on basic information (asset type, unique identification, manufacturer, model number, serial number) needed for asset management, and that there is no generally accepted system on how this is done in current practice. FM professionals and software providers may use the information in this paper to establish baseline sets of data to include in BIM during the design phase of projects. This paper provides insight and data as to the current practice of asset management by facility managers. Understanding the actual needs of the FM industry will assist in future research to implement BIM for FM.