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Decisions taken during the early design of adaptive façades involving kinetic, active and responsive envelope for complex commercial buildings have a substantial effect on inclusive building functioning and the comfort level of inhabitants. This study aims to present the application of an analytic network process (ANP) model indicating the order of priority for high performance criteria that must be taken into account in the assessment of the performance of adaptive façade systems for complex commercial buildings.

The nominal group technique (NGT) stimulating and refining group judgments are used to find and categorize relevant high performance attributes of the adaptive façade systems and their relative pair-wise significance scores. An ANP model is applied to prioritize these high performance objectives and criteria for the adaptive façade systems.

Embodied energy and CO₂ emission, sustainability, energy saving, daylight and operation maintenance were as the most likely and crucial high performance criteria. The criteria and the weights presented in this study could be used as guidelines for evaluating the performance of adaptive façade systems for commercial buildings in planning and design phases.

This research primarily provides the required actions and evaluations for design managers in accomplishing a high performance adaptive façade system, with the support of an ANP method. Before beginning the adaptive façade system of a building design process, the design manager must determine the significance of each of these attributes as high performance primacies will affect the results all through the entire design process.

In this research, a relatively innovative, systematic and practical approach is proposed to sustain the decision-making procedure for evaluation of the high performance criteria of adaptive façade systems in complex commercial buildings.

This study aims to explore the relationship between contemporary cities and traditional urban forms. The central focus lies in identifying the key factors that facilitate the harmonious coexistence of these contrasting sides of the city.

This study takes Iranian bazaars as exemplars of traditional urban forms. To assess their current status, a comprehensive examination of their general evolution is conducted, tracing the transition of these urban complexes up to the present day. Subsequently, morphological analysis and exploration of spatial arrangements across numerous cases are employed to unveil the factors contributing to their disappearance or adaptation within the framework of Iran’s contemporary urban era.

The evolution process of the Iranian bazaar shows that the encounter between traditional bazaars and modernity occurred swiftly and blindly, resulting in adverse effects on traditional urban forms, notably bazaars. In recent years, contemporary urban planning has undertaken corrective measures, adopting a more nuanced approach. This shift significantly strides in restoring the symbiotic relationship between cities and their traditional bazaars. Morphologically, certain bazaars have preserved their vitality in contemporary cities through their natural development patterns, adept integration with new urban textures and the implementation of ingenious adaptive strategies.

This study employs a comprehensive and equitable approach to examining a distinct category of traditional urban forms. It initiates the inquiry by meticulously considering historical continuity in conjunction with detailed contemporary circumstances, subsequently scrutinising their losses, damages and developmental aspects. An extensive collection of cases is assembled and subjected to a consistent analytical framework for comparative evaluation to obtain the most accurate result. Consequently, the outcomes of this research may help the present urban planners engaged in projects concerning the restoration, preservation, revitalisation and development of traditional urban forms.

The purpose of this study is to extract the real requirements of the owner (or users) for the construction project in the operation and maintenance stage completely and accurately and carry out the construction based on the requirements, to make the project status and operation and maintenance requirements (RO&M) consistent after delivered.

This study creatively proposes the operation and maintenance functions deployment (OMFD) under RO&M. In addition, the OPAR (naming is made up of the initials of owners, project, analysis and result) model is constructed to fully identify the requirements of both owners and projects. In this study, three typical construction projects are taken as examples to calculate the correlation strength between project characteristics (PC) and operation and maintenance requirements through the Apriori algorithm, and order parameters are obtained from the cost chain.

This study found that there are significant differences in the correlation strength between 11 types of RO&M and PC, in which the “cost of types” (TC) correlation of residential housing and factory buildings is the largest, while the largest correlation demand of commercial buildings is “safety of types” (TS) and “system” (S). Simultaneously, through the calculation of order parameters, the most influential factors on project characteristics are obtained.

This study could effectively help the owner (or users) to check whether the delivered project fully satisfy their real requirements and also extract the key technical points to realize RO&M, which can guide the accurate construction of the same type of projects.

This research establishes OPAR model to accurately identify the requirements of the project in the operation and maintenance stage and establishes the association rules between the requirements and the construction scheme, which is helpful for the project to construct under the expected requirements.

In the post-industrial economies of large urban centers, redevelopment has become the primary engine of economic growth. Redevelopment projects are designed to encourage investment, attract tourism and bring new residents to the city. This form of city building is driven by a neoliberal urban agenda that embraces privatization, and is controlled by the economic interests of private business. In this chapter, we argue that city building under a neoliberal rubric is also a gendered political process, the outcome of which is the redevelopment of urban space in ways that reflect a masculinist and corporatist view of city life. Moreover, both the form of redevelopment and the process itself function to limit public participation in the life and growth of cities, particularly for women and other marginalized groups. In the first section of this chapter, Gendered spaces of redevelopment, we examine how the results of such a process are made manifest in the built form of Canada's largest city, Toronto, with a population of 2.5 million. The city is experiencing a major process of redevelopment and city building that is evident in a massive wave of condominium construction. We suggest that condominium projects, as a particular form of redevelopment, create privatized spaces and encourage privatized services that articulate neatly with a neoliberal urban agenda.

With the rapid development in the internet technologies, the applications of big data in construction have seen considerable attention. Currently, there are many input/output modes of capturing construction knowledge related to all construction stages. On the other hand, building information modelling (BIM) systems have been developed to help in storing various structured data of buildings. However, these systems cannot fully capture the knowledge and unstructured data used in the operation of building systems in a usable format that uses the intelligent capabilities of BIM systems. Therefore, this research aims to adopt the concept of big data and develop a spoken dialogue BIM system to capture buildings operation knowledge, particularly for building maintenance and refurbishment.

The proposed system integrates cloud-based spoken dialogue system and case-based reasoning BIM system.

The system acts as an interactive expert agent that seeks answers from the user for questions specific to building maintenance problems and helps searching for solutions from previously stored knowledge cases. The practices of monitoring and maintaining buildings performance can be more efficient by the retrieval of relevant solutions from the captured knowledge to new problems when maintaining buildings components. The developed system enables easier capture and search for solutions to new problems with a more comprehensive retrieval of information.

Capturing multi-modes data into BIM systems using the cloud-based spoken dialogue systems will help construction teams use the high volume of data generated over building lifecycle and search for the most suitable solutions for maintenance problems. This new area of research also contributes to the current BIM systems by advancing their capabilities to instantly capture and retrieve knowledge of operations instead of only information.

There is a renowned interest in adaptability as an important principle for achieving circularity in the built environment. Circular building adaptability (CBA) could enable long-term building utilisation and flexible use of space with limited material flows. This paper identifies and analyses design strategies facilitating CBA to propose a framework for enhancing the implementation of the concept.

Interviews were conducted with professionals experienced in circular building design to explore the questions “How do currently applied design strategies enable CBA?” and “How can CBA be implemented through a conceptual design framework?”. The interviews encircled multi-residential building examples to identify currently applied circular design strategies. The interviews were analysed through qualitative content analysis using CBA determinants as a coding framework.

The results show that all ten CBA determinants are supported by design strategies applied in current circular building design. However, some determinants are more supported than others, and design strategies are often employed without explicitly considering adaptability. The design strategies that enable adaptability offer long-term solutions requiring large-scale modifications rather than facilitating low-impact adaptation by dwelling occupants. The proposed conceptual design framework could aid architects in resolving these issues and implementing CBA in their circular building design.

This paper’s contribution to CBA is threefold. It demonstrates design strategies facilitating CBA, proposes a conceptual design framework to apply the concept and identifies the need for a more comprehensive application of available adaptability strategies.

The study is an attempt to find the major risks faced by Micro, Small and Medium Enterprises (MSMEs) engaged in construction business in India. Further, the study attempts to find how MSMEs mitigate those risks.

Toward the objective of study, the authors used a case-based qualitative research design. Four firms were selected, and their owners and selected employees/partners were interviewed. Each firm is presented as an independent case to highlight the core risk management (RM) philosophy of each firm. This was followed by a thematic analysis to arrive at the major risks involved in MSME construction projects and their mitigation strategy.

MSME firms engaged in the construction business in India are not keen on following formal RM practices because they believe that it makes the bid unviable. MSMEs find it difficult to identify most of the problems in a construction project due to an uncontrolled environment and believe that it is best to resolve the issues as and when they occur. They have acquired tacit knowledge on hindrances and deal with them as and when they occur. Anything that can go wrong will go wrong is the basic philosophy.

A small sample size makes the generalization of its findings difficult.

MSMEs cannot afford to hire specialists in project RM due to financial constraints. Hence, it would be worthwhile sending experienced employees for a short duration of training on the same.

To the best of the authors knowledge, it is a first-of-its-kind study focusing on RM practices of MSME, particularly in the construction sector.

The research objective is to establish a smart system for building operation and maintenance using self-organizing map-based cluster merging (SOMCM) algorithm.

The process begins with a thorough literature review to establish the interface framework, followed by its design. An empirical study in Taoyuan City’s industrial park, involving 46 buildings and 3,526 maintenance records, informed development. By integrating the “Shared Facility Management System Equipment Repair Module” and the “Maintenance Management System for Existing Facilities,” 21 enhanced interface components were created. All work orders are stored in a database for aggregation, statistical analysis and clustering using the algorithm SOMCM, aiding repair decision-making.

The outcomes stemming from the proposed methodology culminate in the identification of seven patterns that can significantly enhance the efficiency of maintenance operations: (1) simplify current self-repair to outsourcing; (2) modify the current traditional contract type to open contract type; (3) adopt massive procurement for major facilities (e.g. air conditioning); (4) schedule power supply systems in a systematic and efficient way; (5) establish maintenance patterns as suggested to eliminate warehouse for spares; (6) reallocate maintenance resources in a seasonal cycle; (7) set up a standby team to resolve emergency repairs. The findings can reduce a significant amount of time and cost for the investigated industrial park.

Maintenance work has faced delays, aging equipment has caused component damage, and park structures no longer meet operational needs. Addressing these challenges, the study introduces a novel SOMCM approach for smart building operation and maintenance. This approach emphasizes creating a user-friendly, practical system pivotal to platform success. By integrating demand-driven strategies, it enhances traditional maintenance processes and offers innovative solutions to operational and management issues, ensuring alignment with modern requirements and improved efficiency.

Energy production and distribution is undergoing a revolutionary transition with the advent of disruptive technologies such as the Internet of Energy (IoE), 5G and artificial intelligence (AI). IoE essentially involves automating and enhancing the energy infrastructure: the power grid from grid operators to energy generators and distribution utilities. The IoE also relies on powerful connectivity networks such as 5G, big data analytics and AI to optimise its operation. By incorporating the technology that employs ubiquitous devices such as smartphones, tablets or smart electric vehicles, it will be possible to fully exploit the potential of IoE using 5G networks. 5G networks will provide high speed connections between devices such as drones, tractors and cloud networks, to transfer huge amounts of sensor data. Additionally, there are many sources of isolated data across the main energy production units (generation, transmission and distribution), and the data is increasing at phenomenal rates. By applying AI to these data, major improvements can be brought at each stage of the energy production chain. Tying renewable energy to the telecommunications sector and leveraging on the potential of data analytics is something which is gaining major attention among researchers and industry experts. This chapter therefore explores the combination of three of the most promising technologies i.e. IoE, 5G and AI for achieving affordable and clean energy, which is SDG 7 in the UN Sustainable Development Goals (SDGs).

The manager of engineering at Palm Oasis Engineering in Dubai expressed dissatisfaction with his compensation. The uncertainty of his continued participation at a key position came at a critical time for the company. This case provides an event for the analysis of HRM issues of a small company in a nontraditional, international context. Real and perceptual issues surrounding expatriate employee compensation, including wages and benefits relative to home country, cost indices, inflation, and currency fluctuations, are analyzed. Motivation and negotiation strategy are also examined.

This case has been disguised to protect the anonymity of the company and key individuals. The industry, name of the company, and names of personnel have been changed. The authors were granted access to key personnel at the company during a limited time frame.

This case is designed for upper level, undergraduate international management, international human resource management, and human resource management courses. The case is designed as a mid-semester decision-based case that allows students to apply concepts on motivation, human resource management, and negotiation.