Oluwaseun Dosumu

Bio: Oluwaseun Dosumu is an academic researcher from University of Johannesburg. The author has contributed to research in topics: Sustainable design & Procurement. The author has an hindex of 6, co-authored 23 publications receiving 69 citations. Previous affiliations of Oluwaseun Dosumu include National University of Rwanda & University of Lagos.

Application and Challenges of Adopting Internet of Things (IOT) in the Rwandan Construction Industry

Abstract: The adoption of the Internet of Things (IoT) is essential because it facilitates project information, saves time, and cost and reduces risks on construction sites. The objectives of the study are to investigate the adoption, application, and challenges of IoT technologies in the Rwandan construction industry. The survey research design (open and close-ended questionnaire) was adopted for the study. The questionnaire was administered to registered construction professionals in Rwanda. The stratified random sampling technique was adopted for the study. The data for the study was analysed with frequencies, mean scores and student t-tests. The findings of the study indicated that none of the IoT technologies was well adopted, two were adopted, eleven were averagely adopted and twenty-two were slightly adopted. Also, IoT technologies were used for project management, efficient transportation, time management, and production of site plans. The significant challenges with the adoption of IoT technologies were a lack of training centres, lack of IoT awareness, lack of expertise, poor network connectivity, a requirement for extra budget to acquire IoT technologies, and poor collaboration among construction stakeholders. The study concluded that the level of adoption of IoT technologies in the Rwandan construction industry is low and there is no difference in the opinions of the respondents on the adoption and challenges of adopting IoT technologies in the construction industry. The study recommended that there is a need to create more awareness of the adoption of IoT technologies, and enact laws and policies that can foster the adoption of IoT technologies in the construction industry.

Introduction To Statistical Thermodynamics

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ISM-based relationship among critical factors that affect the choice of prefabricated concrete buildings in China

Abstract: It is well known that building prefabrication has numerous prominent advantages, including shortening construction time, promoting efficiency, reducing air pollution, and so on. As a result, the Ch...

Machine learning-aided engineering services' cost overruns prediction in high-rise residential building projects: Application of random forest regression

Abstract: Current approaches to automating cost estimation mainly focus on construction costs. Yet, the two main services provided by design firms, namely ‘designing the project’, and ‘supervision of construction operations’ labelled as engineering services, despite their comparatively low cost, can significantly affect the total cost of construction projects as they can engender reworks, changes and disputes on project participants during the subsequent stages of the project. Continuous evaluation of engineering services' cost overruns (ESCO) is quintessentially important in order to prevent consequential problems later on in the project's development and use. Consequently, this research proposes a robust random forest (RF) regression model to predict ESCOs considering both project-related and organizational-related variables. A database consisting of 95 high-rise residential building projects designed during the past eight years in Iran, along with 12 related variables, were collected to develop and validate the model. The results were also compared with those of support vector regression (SVR) and multiple linear regression (MLR), which indicated that with an R2 value of 0.8680 and mean-absolute-error (MAE) of 3.88, the RF regression model performs better than those baseline models, namely SVR and MLR. This research presents two main contributions to the existing body of knowledge. From the practical point of view, it provides an efficient tool for design firms enabling them to screen and prioritize their projects from the cost overrun standpoint and to devise a contingency plan for them. From the theoretical point of view, it revealed that to mitigate ESCOs, three key factors should be given thorough consideration, namely: ‘the level of computer-aided design technologies adoption’; ‘level of communication among the project team’; and scope definition adequacy’ – cumulatively, these three factors contribute to 52.35% of ESCO variations.

Multi-storey residential buildings and occupant’s behaviour during fire evacuation in the UK: Factors relevant to the development of evacuation strategies

Abstract: Purpose - The paper aims to investigate human behaviour during fire evacuations in multistorey residential buildings through a focus on the challenges and obstacles that occupants face. Any variations in response behaviours that are relevant to the evacuation strategies/plans in the UK context of occupancy typical of multi-storey buildings in large cities. Design/methodology/approach - A literature review was conducted to identify the factors occupants face and also the decision-making of occupants regarding methods of egress. A mixed research method was adopted using interviews and a questionnaire survey. The findings from the interviews and survey are benchmarked against the information gathered from the literature review. Findings - The paper identifies various challenges that occupants face when evacuating a multi-storey residential building. In terms of the decision-making process, the research results evidence that occupants could be given more information on the evacuation procedures within their specific building. The paper also finds that occupants remain reluctant to use a lift during evacuation in fire event, irrespective of any signage clearly stating that is appropriate to do so in the context of modern lift technology. Originality/Value - This paper contributes to the body of knowledge available on the evacuation of multi-storey buildings located in large cities within the UK, outlining potential areas for future research, focused on providing an insight of the behavioural decisions made by the occupants make when evacuating a building in the event of a fire.