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This paper aims to present the results of a post‐occupancy evaluation (POE) in a complex hospital building, and also to discuss a system for analyzing and diagnosing those results.

The POE was aimed at establishing adequate use and maintenance of the building. The main approaches of the study consisted of two basic performance features, namely, physical accessibility and fire safety.

The importance of the pre‐design evaluation (PDE) might also be recalled as well as the usefulness of the POE for new designs and for remodeling existing buildings, because these instruments aid in the constant updating of directive plans of occupation, especially in the case of large complexes such as health care facilities. One indication of this importance is the relatively low number of problems detected during the POE, when one considers the complexity of the work of renovation and the dimensions of the IPq facilities.

The paper presents the results of a POE and recommendations that would make it possible to quickly identify the points where there is need for improvement, and the degree of importance or priority to be given.

This study aims to explore the need for space (demand) and the provision thereof (supply) in the Faculty of Architecture building at Thammasat University Rangsit campus using variables from the designing an accommodation strategy (DAS) framework; these variables are incorporated to test and improve the framework. Another purpose is to examine the planning and development of the faculty building to understand its strategy, which serves as a means to contribute to the planning and development theory.

A case study of the Faculty of Architecture building was conducted at Thammasat University in Thailand. The DAS framework was used to reconstruct and examine the development process of the building to determine the gaps between supply and demand in terms of building space, to reflect on the building plan and process and to make suggestions as to how the DAS framework might be improved. Research methods included interviews and document analysis concerning space requirements and provision in the Faculty of Architecture building.

The gaps between supply and demand in terms of the faculty building space are affected by the condition of the building (i.e. building obsolescence), the number of building users and the changing environmental context. This study shows that both pre-design and post-occupancy evaluation are essential to collect data concerning the match or mismatch between supply and demand of space and to assess users’ needs and preferences concerning the faculty building. Regarding the building development process, factors impacting the step-by-step planning of the real estate interventions include the organisational context (public/private sector) and the management of the construction project (time, cost, quality). The DAS framework is found to be useful for structuring the information-generating processes necessary to determine gaps between demand and supply in terms of space and for making decisions regarding real estate interventions.

Additional case studies in different environmental and organisational contexts are required to test the DAS framework and improve data validity. This study was conducted during the COVID-19 pandemic period, which affected data accessibility.

The results provide insight into the influence of various factors on the decision of corporate real estate. The DAS framework can be used to explore the range of demand for and supply of space and to find an optimal match.

This paper shows valuable steps in planning and development of educational real estate and a first application of the DAS framework in Thailand. The findings confirm the importance of the physical learning environment of architecture schools, particularly the studio spaces required in architecture education.

Properly allocating an organization's activities within a building is vital to reducing the relational complexity arising from process–environment interactions. Multiple relationships are mapped, and certain interferences are only identified after these have been processed. The method/software employed for this task is Mapping Activity Environment Allocation (MAEA). However, data input and interpretation of results depend on the usability conditions of the organization's agents. This paper presents MAEA's usability test results.

Test sessions and interviews were carried out with seven agents registered at a University Hospital. Participants were instructed to think aloud during its use, and immediately afterward, responded to semi-structured interviews. Test sessions were audio recorded and screen captured.

Participants found the software easy to use and pointed out valuable implications for professional and academic use. In addition to relationship, priority and parallelism data, customized visualizations were created, including organizational charts, flowcharts and activity flow routes on the floor plan.

MAEA's simplicity allows non-designers to conduct evidence-based assessments and decisions. It allows designers to test their proposals during the programming and outline proposal stages.

A more detailed definition of design requirements from the beginning increases the conditions to successfully achieve project goals.

The ability to map the allocation of activity-spaces in the pre-design phase of building architecture allows for early identification of interactions, aiding in the development of more robust project requirements during programming.

The purpose of this paper is to evaluate the main elements of building performance, namely, building function, building impact and building quality in order to promote strategic facilities management in healthcare organisation to improve core (health) business activities.

Based on current available toolkits, a questionnaire is issued to healthcare users (staff) in a public hospital about their level of agreement in relation to these elements. Statistical analysis is conducted to regroup the elements. These regrouped elements and their inter-relationships are used to develop a framework for measuring building performance in healthcare buildings.

The analysis helped to clarify the understanding and agreement of users in Australian healthcare organisation with regards to building performance. Based on the survey results, 11 new elements were regrouped into three groups. These new regrouped elements will be used to develop a reliable framework for measuring performance of Australian healthcare buildings.

Currently there is no building performance toolkit available for Australian healthcare organisation. The framework developed in this paper will help healthcare organisations with a reliable performance tool for their buildings and this will promote strategic facilities management

The purpose of this paper is to propose a two-dimensional (2-D) hybrid analytical model (HAM) in polar coordinates, combining a 2-D exact subdomain (SD) technique and magnetic equivalent circuit (MEC), for the magnetic field calculation in electrical machines at no-load and on-load conditions.

In this paper, the proposed technique is applied to dual-rotor permanent magnet (PM) synchronous machines. The magnetic field is computed by coupling an exact analytical model (AM), based on the formal resolution of Maxwell’s equations applied in subdomains, in regions at unitary relative permeability with a MEC, using a nodal-mesh formulation (i.e. Kirchhoff's current law), in ferromagnetic regions. The AM and MEC are connected in both directions (i.e. r- and theta-edges) of the (non-)periodicity direction (i.e. in the interface between teeth regions and all its adjacent regions as slots and/or air-gap). To provide accurate solutions, the current density distribution in slot regions is modeled by using Maxwell’s equations instead to MEC and characterized by an equivalent magnetomotive force (MMF) located in the slots, teeth and yoke.

It is found that whatever the iron core relative permeability, the developed HAM gives accurate results for both no-load and on-load conditions. Finite element analysis demonstrates the excellent results of the developed technique.

The main objective of this paper is to achieve a direct coupling between the AM and MEC in both directions (i.e. r- and theta-edges). The current density distribution is modeled by using Maxwell’s equations instead to MEC and characterized by an MMF.