Journal of Construction Engineering, Management & Innovation - Golden Light Publishing ® | Trabzon

Journal of Construction Engineering, Management & Innovation


Ekrem Bahadır Çalışkan Mehmet Koray Pekeriçli

Briefing is the process of determining requirements through communication between an architect and a client for project success. Essentially briefing utilizes knowledge management tools and techniques. This study aims to explore the issues and problems of briefing with a focus on requirement elicitation and validation by investigating the attitudes and approaches of industry practitioners. A literature review was conducted to design the questionnaire survey and interviews. A survey in three themes: organizational information, knowledge capturing in briefing, process for requirement elicitation and validation has been applied to 24 respondents, and 11 interviews were held with open-ended questions. The survey was conducted among the members of Turkish, İstanbul, and İzmir Association of Architects in Private Practice. Interviews were held with architects (founder/partner) from Ankara. Issues, problems, methodologies for requirement management, and knowledge processes were explored. The involvement of the user in briefing and the experience of stakeholders are important for project success. Furthermore, the knowledge processes: capturing, indexing, recording, and archiving are used for requirement elicitations. Using comprehensive frameworks for briefing and technology like Building Information Modelling may increase the benefits; however, the awareness of architects in this field is low. Discussions about the issues, problems, and success of briefing processes were held to state requirement management approaches of architects. The study implicated the importance of requirement validation before and during the design process, the difficulty of capturing knowledge from the client, and assuring the user’s involvement with proper experience level in the briefing. These may be used to improve practical studies on requirement management. Furthermore, the study is an actual record of vocational practices, so with the implementation of other research, it contributes as a comparison and evaluation point.

Atilla Damcı Ayan Pierre ABDI Emel SADIKOGLU Harun TURKOGLU Sevilay DEMIRKESEN David ARDITI V. S. Ozgur KIRCA

The renewable energy generation has grown significantly in recent years, primarily due to the numerous advantages it offers over traditional fossil fuel sources. In coastal areas, wave energy stands out as an important renewable energy source. However, the selection of the optimal location for wave energy converters (WECs) is a challenging task as it requires the consideration of multiple contradictory criteria. To address this challenge, this study proposes an integrated multi-criteria decision-making (MCDM) model to determine the optimal location for the installation of WECs in order to maximize energy generation from waves. The proposed model considers four main criteria: (1) locational aspects, (2) efficiency of the wave energy converter, (3) cost, and (4) environmental aspects. These criteria are also divided into 17 sub-criteria. The model integrates the criteria importance through intercriteria correlation (CRITIC) method to calculate the criteria weights and the complex proportional assessment (COPRAS) method to rank the alternatives. The performance of the model is demonstrated through a case study involving two locations in the Black Sea region. Utilizing this decision-making model, decision-makers can optimize their energy generation by strategically placing WECs at the most advantageous and productive locations.

Dorcas Titilayo Moyanga Najimu Saka

The construction sector is one of the largest single industries in the world contributing to the economy through its backward and forward linkages as well as aggregate demand. However, in spite of its importance to the development of the economy, it is severely hampered by instability or inflation. This study investigates the effect of inflation rate on the construction sector through the econometric methodology to analyse time series data obtained from the year 2020 statistical bulletin (volume 30) of the Central Bank of Nigeria. The result indicates that inflation significantly impacts the construction sector. The study concludes that the construction sector is significantly affected by seasons and the Gross Domestic Product (GDP) whereas construction sector significantly affects the price level. The study recommends for the de-seasonalisation of the construction sector through industrialisation. Government must implement fiscal and monetary measures to manage inflation in-order to stabilise the construction sector. Finally, to stem the tide of high cost of construction, government should implement policy to improve local content in the sector to immune construction from the vagaries of the foreign exchange market.


Industrial growth has led to an increase in pollutant and greenhouse gas emissions, further contributing to global climate change. To mitigate their environmental impact and environmental consequences, accurate estimation of pollutant dispersion and concentrations released from industrial stacks is important. This work proposes a study on the emissions of an industrial establishment in Karabük Province. The computer simulation program within Microsoft Excel that employs the Gaussian Plume (GP) model is used to predict distributions of SO2, CO2, CH4, and N2O concentrations for emissions from point sources of the industry. The results have shown that the dispersion does not depend only on atmospheric conditions but also depends on the physical conditions of the industrial facility. The plume height, effective plume height and pollutant concentrations are very important physical variables of the industrial facility. Any of them is very crucial for pollutant concentrations exposed at the ground-level. For that reason, these parameters for the industry are collected carefully. The industry is situated in Karabük province. The establishment has two stacks: one of them is very high (48 m) and the other one is (25 m) almost half of the first one. The model results have shown that the emission from the lowest stack is very high as compared to the higher one. Two-dimensional modelling results are obtained from the EXCELL Program. However, the output of the model can also be shown as 3- dimensional by using the MATLAB Program. 3- dimensional results show the pollutant distribution in a better way.