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The most sustainable forms of urban mobility are walking and cycling. These modes of transportation are the most environmental friendly, the most economically viable and the most socially inclusive and engaging modes of urban transportation. To measure and compare the effectiveness of alternative pedestrianization or cycling infrastructure plans, the authors need to measure the potential flows of pedestrians and cyclists. The paper aims to discuss this issue.

The authors have developed a computational methodology to predict walking and cycling flows and local centrality of streets, given a road centerline network and occupancy or population density data attributed to building plots.

The authors show the functionality of this model in a hypothetical grid network and a simulated setting in a real town. In addition, the authors show how this model can be validated using crowd-sensed data on human mobility trails. This methodology can be used in assessing sustainable urban mobility plans.

The main contribution of this paper is the generalization and adaptation of two network centrality models and a trip-distribution model for studying walking and cycling mobility.

Web‐based document management applications serve to store, organize, and manage a collection of documents within the context of a building project. The organization of documents, using mechanisms for indexing and relating these, aims to build an information structure that supports effective searching and browsing. We present a methodology for a stronger integration of project documents of different formats into a rich, highly interrelated, information structure. Specifically, we propose a decomposition of project documents by content in relation to a semantic structure for the categorization of document components. We consider a notion of typologies from architecture as a guide for constructing such a semantic structure. We discuss the application of this methodology to building projects, and propose its use in Web‐based document management applications in the AEC industry. As an illustration of this methodology, we describe a prototype application, as a presentation tool for architectural analyses in an educational context.

The teaching of subjects such as quality of life and sustainable development presents tremendous challenges because of the nebulous and multifaceted nature of the subject matter. An important advantage of the case‐study approach to teaching is its capacity for understanding complexity in particular contexts. The purpose of this article is to examine quality of life and the use of its case studies for teaching and learning. It will discuss some issues on quality of life research and their difficulties in definition and evaluation, illustrated with actual case studies.

In large organizations, space planning relies on workgroup leaders to indicate spatial adjacency preferences. However, many factors affect workgroups’ adjacency preferences, and it is not clear how the choices are made. This paper aims to explore whether the adjacency preferences are influenced by the collaboration relationship or constrained by the organizational structure.

The authors studied a large company’s spatial adjacency planning with an in-depth analysis of its formal organizational structure and collaboration network. A sample of 183 managers was surveyed regarding groups with whom they want to be spatially adjacent and groups with whom they mostly interact. The data enabled us to test three structural factors related to adjacency preference: department affiliation, workgroup’s prestige and collaboration relation. The authors used the quadratic assignment procedure analysis to examine the correlations between network matrices.

The results suggest that department affiliation and collaboration relations are significantly correlated to adjacency preferences. The authors did not find evidence supporting the notion that a workgroup’s prestige affects the preference. Among the three factors, collaboration relation best predicts the preference, which echoes Pena et al.’s (1977) argument that space planners should look into how groups function, rather than merely following the organizational chart.

To the best of the authors’ knowledge, this research was the first to explore the choice of spatially adjacent workgroup through a detailed network analysis of the formal structure, work collaboration relations and other group-level characteristics. The findings have noteworthy cross-disciplinary implications, given that spatial proximity can be taken as a human resource management strategy to facilitate the overall interactions between workgroups.

The construction industry is tasked with creating sustainable, efficient and cost-effective buildings. This study aims to develop a building information modeling (BIM)-based multiobjective optimization (MOO) model integrating the nondominated sorting genetic algorithm III (NSGA-III) to enhance sustainability. The goal is to reduce embodied energy and cost in the design process.

Through a case study research method, this study uses BIM, NSGA-III and real-world data in five phases: literature review, identification of factors, BIM model development, MOO model creation and validation in the architecture, engineering and construction sectors.

The innovative BIM-based MOO model optimizes embodied energy and cost to achieve sustainable construction. A commercial building case study validation showed a reduction of 30% in embodied energy and 21% in cost. This study validates the model’s effectiveness in integrating sustainability goals, enhancing decision-making, collaboration, efficiency and providing superior assessment.

This model delivers a unified approach to sustainable design, cutting carbon footprint and strengthening the industry’s ability to attain sustainable solutions. It holds potential for broader application and future integration of social and economic factors.

The research presents a novel BIM-based MOO model, uniquely focusing on sustainable construction with embodied energy and cost considerations. This holistic and innovative framework extends existing methodologies applicable to various buildings and paves the way for additional research in this area.

The purpose of this paper is to contextualise the architect–client relationship and evaluate the factors responsible for its deterioration, and then define the impact of these factors on the future needs of architects and clients, including how such knowledge can help emerging architects to develop an understanding of the profession at an early stage. It will attempt to reveal new insights and build consensus around issues, such as functionality and aesthetics, per cent-based fee structure, conflict of interest amongst architects, contractors and clients.

A combination of qualitative online survey, semi-structured interviews and online focus group discussions under the comprehensive umbrella of the case study method has been used to construct a pragmatic framework. The data collection was focused on revealed preferences rather than stated preferences, in terms of likes and dislikes, in a standard survey.

Overall, this paper strengthens the idea that the predicament of the profession and the marginalisation of architects is due to their detachment from clients. The findings suggest that the fee structure might be a major source of discontent and there is an urgent need for alternative routes of procurement, particularly for private residential clients. While most clients prefer functionality over aesthetics and want architects to be affordable, they are more willing to invest their trust in architects who can deliver from concept to completion.

The arguments contested in this paper attempt to demystify the dynamics that are at play during the construction stage. It looks at power sharing, responsibilities and silent hierarchies that transpire between architects, clients and contractors, particularly in private residential projects.

The main recommendation of this paper is that to secure the future of the architecture profession emerging architects need to be trained more in client-centric skills than design-centric aptitude.

This study explores the impact of virtual classrooms as an emerging classroom typology in comparison to the physical classrooms in the design process. Two case studies were held in order to infer design students' classroom preferences in the project lifecycle. The findings put forth figures that compare two forms of design communication in the two classroom types in terms of their contribution to design development. Although the students acknowledged many advantages of web-based communication in the virtual classroom, they indicated that they are unwilling to let go off face-to-face encounters with the instructors and fellow students in the physical classroom. It is asserted that the future design studio will be an integrated learning environment where both physical and virtual encounters will be presented to the student. Utilizing the positive aspects of both communication techniques, a hybrid setting for the design studio is introduced, comprising the physical classroom as well as the virtual one. The proposed use for the hybrid setting is grouped under 3 phases according to the stage of the design process; as the initial, development and final phases. Within this framework, it is inferred that the design studio of the future will be an integrated form of space, where the physical meets the virtual.

Spaciousness is defined as “the feeling of openness or room to wander” that has been affected by various physical factors. The purpose of this paper is to assess the spaciousness of space to determine how spacious the space is. Furthermore, the study intends to propose a fuzzy-based model to assess the degree of spaciousness in terms of physical parameters such as area, proportion, the ratio of window area to floor area and color value.

Fuzzy logic is the most appropriate mathematical model to assess uncertainty using nonhomogeneous variables. In contrast to conventional methods, fuzzy logic depends on partial truth theory. MATLAB Fuzzy Logic Toolbox was used as a computational model including a fuzzy inference system (FIS) using linguistic variables called membership functions to define parameters. As a result, fuzzy logic was used in this study to assess the spaciousness degree of design studios in universities in the Iraqi Kurdistan region.

The findings of the presented fuzzy model show the degree to which the input variables affect a space perceived as larger and more spacious. The relationship between parameters has been represented in three-dimensional surface diagrams. The positive relationship of spaciousness with the area, window-to-floor area ratio and color value has been determined. In contrast, the negative relationship between spaciousness and space proportion is described. Moreover, the three-dimensional surface diagram illustrates how the changes in the input values affect the spaciousness degree. Besides, the improvement in the spaciousness degree of the design studio increases the quality learning environment.

This study attempted to assess the degree of spaciousness in design studios. There has been no attempt carried out to combine educational space learning environments and computational methods. This study focused on the assessment of spaciousness using the MATLAB Fuzzy Logic toolbox that has not been integrated so far.

The purpose of this paper is to synthesize the previously established list of key performance indicators (KPIs), to identify and categorize the core performance indicators that are measurable and quantifiable.

A literature-based qualitative approach is adopted for accumulating desired information on identifying and categorizing the core indicators. The list of KPIs established in an earlier paper is narrowed down considering the future research needs suggested by the literature.

The quantifiable and measurable core indicators are identified and categorized in the form of a list. The core indicators are defined and the variables required to quantify them are described by citing peer-reviewed literature.

This paper represents the first step toward establishing a relevant list of quantifiable and measurable core KPIs. Future research papers could emphasize derivation of mathematical expressions for determining the identified core KPIs and validating these KPIs using simulation of real building data.

The need to establish a concise and relevant list of quantifiable and measurable KPIs that could express more than one type of information about a facility's performance is identified in this paper. This paper presents and describes a narrowed down list of core KPIs, which could be utilized by facility management industry professionals while performing a holistic performance assessment.

This paper provides a list of core KPIs that could express more than one aspect of a facility's performance and that is measurable and quantifiable.

The role of institutional facilities is of paramount importance to ensure quality of teaching and learning with respect to achieving quality of education in any given higher educational institutions (HEIs). The purpose of this paper is to determine the performance of physical and non-physical facilities of higher institutional facilities.

The data were collected from respondents using a closed-end questionnaire. In total, 1,000 questionnaires were administered to students and 735 were returned and valid for analysis. Partial least squares-structural equation modelling was adopted for analysis.

It was found that the exogenous constructs [physical facilities (PPE) and non-physical facilities (PNE)] scored 32.7 per cent (R² = 0.327) of the variance of the facility’s performance. It was also found that the physical facility is the most significant factor that determines facility performance.

This paper is limited to investigating the performance of physical and non-physical facilities; it is not in any way a measure for the students’ views about other services offered by the institutions. Future research is needed to use relevant information from HEIs’ facilities for validating factors that determine the facility’s performance.

Physical facility was identified as the most influencing factor that determines the facility performance based on the information provided by respondents. This research should help the facility management department at HEIs when designing the academic facility management. The study will also serve as a yardstick for the Federal Ministry of Education, the National University Commission in academic facility accreditation. This paper contributes to both the body of knowledge in facility management by considering the performance of facilities at HEIs.

This paper demonstrates the duality of HEIs’ facilities into physical and non-physical facilities and their distinct contribution to the overall facility’s performance.