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The purpose of this paper is to present the development and implementation of a qualitative, code-compliance framework for property managers of student housing facilities.

The paper identified the fire safety code requirements for student housing facilities and arranged these requirements in the form of a checklist, which was further validated by professional experts. Additionally, the paper presented an IDEF₀ (Integrated Definition for Function Modeling) framework model that illustrates a stepwise process for the deployment of the checklist. A case study was conducted on three similar student housing facilities in a university campus to demonstrate the application of the framework. Furthermore, the findings from the case study were reported along with recommendations to improve the degree of compliance with the requirements of fire safety codes.

The developed framework was validated by professional experts and through a case study. Fire safety provisions were mostly found to be adequate in the case study building. The authors proposed several actions to improve the current status of fire safety in the building.

The paper serves to disseminate awareness about the occurrence of fires, their severe consequences and precautionary measures in student housing facilities. It also provides a standardized checklist for ease of use by property managers who may be unable to understand the technical terminologies found in fire safety codes and standards. Thus, the developed framework is of tangible value to property managers, building specialists and student housing administrators.

There are rising issues with the delivery performance of Malaysian low-cost housing (LCH) because the occupants are inclined to perceive safety hazards. Among the safety issues raised during the occupancy period in LCH are structural instability and falling building fragments. Without defining the occupants’ requirements in the early housing development, it is hard to determine the prevailing safety factors. Hence, this paper emphasises the application of post occupancy evaluation (POE) that incorporates participation from the occupants as a tool to assess the safety performance of Malaysian LCH. The purpose of this study is to develop a framework of POE integrated with safety elements for Malaysian LCH.

This research was carried out with a quantitative method using questionnaires as the survey instrument involving safety inspection survey and satisfaction surveys. The inspection survey and Occupants’ Satisfaction Survey were carried out based on 24 LCH projects located in the federal territory of Kuala Lumpur, Malaysia. In total, 380 samples were used for both surveys. Statistical correlation was used to affirm the incorporation of occupants’ participation towards safety performance in the POE approach. The Spearman’s rho (r) correlation was used in the analysis for variables in both surveys which consisted of an ordinal scale.

The correlation result revealed that there was a significant relationship among all safety attributes between safety performance and occupants’ satisfaction. Therefore, a framework consisting of POE and safety elements has been proposed based on the significance of both variables. The development process of the framework used the vital phases of POE and inputs of safety elements which consisted of three main stages: planning phase as safety input, conducting phase as safety process and applying phase as safety output.

The surveys were limited to the rented People’s Housing Programme located in Kuala Lumpur and not extensively to all LCH programmes in Malaysia. The surveys were also not carried out to other LCH programmes such as the Hardcore Poor Housing Programmes and the low- to medium-cost housing because of the limitations of time and resources.

This research has introduced a new dimension for safety performance assessment in LCH using the POE as the safety performance tool. By allowing the participation of occupants for safety assessment, this study stresses the fundamental concept of POE by highlighting the importance of obtaining feedback from the building occupants.

As a proactive measure, the proposed framework was introduced as an improved procedure to inspect safety performance in LCH during occupancy, in lieu of the current assessment process. Receiving complaints from the occupants after the occurrence of incidents is demarcated as a reactive approach, whereas the current inspection survey does not incorporate the occupants’ participation. Feedback from occupants is not a routine of building assessment during occupancy; hence, using POE is generally a new dimension of safety performance in Malaysian LCH.

The largest share of a building maintenance budget goes towards preventing or repairing building defects. Also, building defects shorten a building’s lifetime, impact the user’s safety and health, prevent the buildings from performing their functions well and repairing building defects generates waste. Therefore, this study aims to specify the factors that affecting the number of building defects and how to reduce their negative impacts.

A case study was used as a research strategy and convergent parallel mixed methods were used as research design. Quantitative and qualitative data were collected concurrently, followed by independent analyses of the quantitative and qualitative data, and then merged the two sets of results according to the procedure of using the convergent parallel design. Descriptive statistics analysed quantitative data, whilst qualitative data was analysed by the content analysis technique.

The findings of this study explored the factors that affect the number of defects in buildings, the significant factors were related to the building’s life cycle in terms of design, construction, operation and maintenance phase; relevant attributes were construction teams, building users and maintenance teams. The study also addressed the approaches to minimise the negative impacts of those factors. Their negative impacts mainly contributed to increased building defects that increase maintenance costs, affect users’ safety and health, reduce buildings’ lifespan and cause environmental impact due to resource extraction.

The existing studies have not adequately addressed the significant factors that affect the number of building defects. Also, emerging technologies and environmental sustainability considerations related to building defects have not been linked in previous related work. Therefore, the present study has contributed to filling this gap.

This paper highlights a crucial public safety issue due to falling objects from tall residential buildings in Singapore. A systematic façade inspection regime and a system of evaluation of severity for the detection and assessment of potential falling objects from tall buildings are presented.

The research uses qualitative case study approach with 450 tall residential buildings sampled for the study. The common materials, elements, components with high risk of falling objects, the nature and type of the falling, the critical factors affecting the falling, the respective level of severity, and the effectiveness of various diagnostic techniques and protocols, are summarised.

Façade for tall residential buildings in Singapore comprises mainly cementitious materials cast in situ or precast, with fixtures and architectural features, all of which have potential of falling. The common anomalies arising from each material and fixture/features are identified, the causes evaluated and their implications to future design, construction and maintenance analysed.

This study provides original and significant information to a crucial public safety issue, setting design and construction criteria that will serve as a benchmark for new and existing facades, applicable to all cities dominated by tall buildings. The paper presents original figures, checklists and guides as a basis for readers' consideration to use according to their respective unique conditions.

Over the past decade, researchers have used unmanned aerial systems (UASs) in construction industry for various applications from site inspection to safety monitoring or building maintenance. This paper aims to assort academic studies on construction UAS applications, summarize logics behind using UAS in each application and extend understanding of current state of UAS research in the construction setting.

This research follows a systematic literature assessment methodology to summarize the results of 54 research papers over the past ten years and outlines the research trends for applying UASs in construction.

UASs are used in building inspection, damage assessment, site surveying, safety inspection, progress monitoring, building maintenance and other construction applications. Cost saving, time efficiency and improved accessibility are the primary reasons for choosing UAS in construction applications. Rotary-wing UASs are the most common types of UASs being used in construction. Cameras, LiDAR and Kinect are the most common onboard sensors integrated in construction UAS applications. The control styles used are manual, semi-autonomous and autonomous.

This paper contributes to classification of UAS applications in construction research and identification of UAS hardware and sensor types as well as their flying control systems in construction literature.

This paper aims to report a case study regarding the combined use of several non‐destructive techniques (NDTs) as a tool in the management of diagnosis and refurbishment of a damaged reinforced concrete building.

Four types of NDTs have been selected and carried out on the pillars of the building: visual inspection, electromagnetic rebar location, sonic test and rebound hammer test. The campaign has been planned and run in order to get the highest amount of reliable data about materials degradation and structural safety with limited costs and limited interference with the functionality of the building.

The diagnostic campaign highlighted the usefulness of the selected techniques in the diagnosis of the type and the amount of degradation, thus permitting a plan of refurbishments to be defined, and to get a realistic estimation of restoration costs.

NDTs' ability to specifically identify a type of damage may be viewed as a reliable tool in assessing and managing the structural life‐cycle cost.

The presented case study highlighted that NDTs are very likely to locate and quantify the damage of materials and buildings, so that they can be considered as one of the most important parts of health monitoring of civil structures and infrastructures.

The assessment of a deteriorating masonry structure should lead to an objective evaluation of condition. This process is, however, inevitably subjective owing to human interpretation. The condition of the substrate and the required repairs cannot be guaranteed and may vary from building inspector to inspector. For conservation works the determination of repairs is a function of condition but also directly relates to the underpinning framework of building conservation philosophy. These are also fundamentally subjective. The combination of both condition survey subjectivity and building conservation philosophy's nebulous nature creates the potential for project aesthetic and technical divergence. This paper aims to examine this issue.

The paper presents a literature review and hypothetical case studies.

It has been shown by various researchers that a visual survey is subjective and is therefore prone to differences in reporting. In addition, the application of building conservation philosophy is seen through the perspective of the professional specifying the repairs. The combination of these two factors leads to the potential for significant project outcomes.

Subjectivity of evaluation of condition for traditional masonry structures has been little studied by academics and practitioners alike, and it is generally assumed that these yield objective, rational data. This is not necessarily the case. The application of building conservation philosophy to determine repair strategies is also a subjective process. The combination of both may lead to significant project divergence. These combined factors have never previously been discussed.

The purpose of this paper is to apply state-of-the-art machine learning techniques for assessing the quality of the restaurants using restaurant inspection data. The machine learning techniques are applied to solve the real-world problems in all sphere of life. Health and food departments pay regular visits to restaurants for inspection and mark the condition of the restaurant on the basis of the inspection. These inspections consider many factors that determine the condition of the restaurants and make it possible for the authorities to classify the restaurants.

In this paper, standard machine learning techniques, support vector machines, naïve Bayes and random forest classifiers are applied to classify the critical level of the restaurants on the basis of features identified during the inspection. The importance of different factors of inspection is determined by using feature selection through the help of the minimum-redundancy-maximum-relevance and linear vector quantization feature importance methods.

The experiments are accomplished on the real-world New York City restaurant inspection data set that contains diverse inspection features. The results show that the nonlinear support vector machine achieves better accuracy than other techniques. Moreover, this research study investigates the importance of different factors of restaurant inspection and finds that inspection score and grade are significant features. The performance of the classifiers is measured by using the standard performance evaluation measures of accuracy, sensitivity and specificity.

This research uses a real-world data set of restaurant inspection that has, to the best of the authors’ knowledge, never been used previously by researchers. The findings are helpful in identifying the best restaurants and help finding the factors that are considered important in restaurant inspection. The results are also important in identifying possible biases in restaurant inspections by the authorities.

This paper aims to assess the facility management (FM) practices in public and private buildings, and compare the practices in both the buildings. This paper critically analysed the current FM practices and explored the range of contributions that the facility manager could offer in both public and private buildings.

A case study of 19 public and 20 private buildings in Ibadan and Akure cities was carried out in this paper.

The paper revealed that the state of FM awareness is higher in private buildings than in public buildings and that FM practices in the two types of buildings are significantly related, but the extent of usage of FM methods are significantly different in the buildings. It was also observed in the research that corrective and responsive FM practices are the order of the day in both public and private buildings.

The paper acknowledged that the involvement of the facility manager with the integrated design team if implemented efficiently will contribute in reducing the need for major repairs and alterations in the lifespan of the facility and that the practices of preventive, planned and immediate responsive approaches would better the life of buildings.

The paper recommended that stricter action should be taken to mitigate against the poor handling and misuse of buildings by users, as it affects negatively the success story of FM in the country.

This paper reached out to address the lack of proper FM in the country.

Defects in concrete surfaces are inevitably recurring during construction, which needs to be checked and accepted during construction and completion. Traditional manual inspection of surface defects requires inspectors to judge, evaluate and make decisions, which requires sufficient experience and is time-consuming and labor-intensive, and the expertise cannot be effectively preserved and transferred. In addition, the evaluation standards of different inspectors are not identical, which may lead to cause discrepancies in inspection results. Although computer vision can achieve defect recognition, there is a gap between the low-level semantics acquired by computer vision and the high-level semantics that humans understand from images. Therefore, computer vision and ontology are combined to achieve intelligent evaluation and decision-making and to bridge the above gap.

Combining ontology and computer vision, this paper establishes an evaluation and decision-making framework for concrete surface quality. By establishing concrete surface quality ontology model and defect identification quantification model, ontology reasoning technology is used to realize concrete surface quality evaluation and decision-making.

Computer vision can identify and quantify defects, obtain low-level image semantics, and ontology can structurally express expert knowledge in the field of defects. This proposed framework can automatically identify and quantify defects, and infer the causes, responsibility, severity and repair methods of defects. Through case analysis of various scenarios, the proposed evaluation and decision-making framework is feasible.

This paper establishes an evaluation and decision-making framework for concrete surface quality, so as to improve the standardization and intelligence of surface defect inspection and potentially provide reusable knowledge for inspecting concrete surface quality. The research results in this paper can be used to detect the concrete surface quality, reduce the subjectivity of evaluation and improve the inspection efficiency. In addition, the proposed framework enriches the application scenarios of ontology and computer vision, and to a certain extent bridges the gap between the image features extracted by computer vision and the information that people obtain from images.