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Despite the efforts of organizations to improve safety performance, shortfalls of the strategies have been reported in numerous studies around the globe. However, previous studies in countries with more organized construction sectors show that adopting a resilient safety culture by organizations has a tendency of improving safety performance. As safety culture is dynamic which differs with geographical context, the purpose of this paper is to achieve two objectives: testing the causal relationship between safety performance and resilience safety culture in the Nigerian construction environment; and determining the key components for ensuring the resilience of construction organizations with regards to safety.

Quantitative research approach was used. Data was collected using a structured questionnaire. The population of the study comprises small and medium construction organizations predominantly across the Northern region in the Nigerian built environment. A total of 180 questionnaires were distributed to construction managers and safety managers in respective organizations to serve as respondents to the study. Partial least square – structural equation modeling (PLS-SEM) was used to test the relationship between safety performance and resilience safety culture. While principal component analysis was used determining the key components for ensuring the resilience of construction organizations with regards to safety.

Findings of this study revealed that resilient safety culture has a significantly strong positive relationship with safety performance. Safety hazard recognition and effective safety response attitude were identified as the key components for guaranteeing a resilient safety culture.

With a view to achieve a consistently high safety performance, organizations have to acknowledge and anticipate unexpected hazardous events and provide the necessary safety resources to manage them. Furthermore, there is also the need to create awareness on recognized safety concerns on safety hazards, coupled with a dynamic risk response attitude to ensure consistent improvement in safety performance.

This study presents an alternative to the slow and reactive safety culture of the Nigerian built environment. This study builds on existing literature, and the findings explore the potential impact of adopting a resilient safety culture in construction organizations in Nigeria. This study provided further insights into key factors organizations need to focus on to ensure resilient nature. To the best of the authors’ knowledge, no prior study in this regard was conducted in Nigeria despite its apparent need.

Construction renovation projects have been noted to suffer from uncertainties. While recent efforts have studied uncertainties affecting the duration of other types of projects, these efforts have overlooked construction renovation projects. Therefore, this study aims to evaluate the uncertainty factors affecting the duration of construction renovation projects.

In total, 226 responses from construction professionals were collected via a questionnaire survey on the impact of uncertainty factors on the duration of construction renovation projects. The subjective responses of experts from the industry were categorised using principal component analysis (PCA) before being exposed to objective analysis, assessment and modelling using a soft computing technique called fuzzy synthetic evaluation (FSE).

In total, 25 uncertainty factors were grouped as critical factors and were modelled. The PCA of the 25 critical uncertainty factors produced an 8-factor solution that grouped the uncertainty factors into 8 categories. The FSE modelling indicated that all eight groups are critical, but with varying levels of criticality on the duration of construction renovation projects.

The study provides a basis for a cost-effective uncertainty management guideline to avoid time overruns in construction projects. It also offers a platform for choosing among renovation projects to decide whether or not a project will overrun its time or not.

The study identified and established critical uncertainties affecting the duration of construction renovation projects, thus providing the first empirical multi-attribute objective uncertainty evaluation for the duration of construction renovation projects.

This study aims to assess the extent of the impact of uncertainty factors on renovation project performance.

This study aims to adopt a quantitative approach, using structural equation modelling (SEM) to assess the extent of the impact of uncertainty variables on construction project performance based on data from 226 construction professionals sourced using a questionnaire.

The SEM result indicates four (4) principal uncertainty factors have a significant effect on renovation projects, while the remaining four (4) do not. Results of descriptive and inferential statistics showed that 25 out of 45 identified uncertainty factors have a critical impact on performance, thereby serving as the basis for exploratory factor analysis, which produced an eight-group factor solution.

The research is limited to specific locations, as uncertainty factors can be location-sensitive. Further research should be done to assess the Impact of these Uncertainty factors on a specific location and other project types.

The study aids practitioners in estimating project costs and durations by identifying uncertainty factors affecting renovation projects. It aids project managers in managing uncertainties to improve cost, quality and schedule and serves as a risk management tool for clients and project managers.

The study presents a path model that shows the impact of uncertainty factors on renovation project performance. The insights provided in this study are poised to assist project managers and other construction professionals in planning renovation projects more effectively and successfully.

Building developments are often capital intensive, have a long payback period and many associated risks and uncertainties. This makes investments in building projects to be a big challenge. This study aims to develop a computerized simulation-based binomial model (CSBBM) for building investment appraisal with a view to improving the economic sustainability of proposed building projects.

Mathematical equations and algorithms were developed based on the binomial method (BM) of real options analysis and then implemented on a computer system. A hybrid algorithm that integrates Monte Carlo simulation (MCS) and BM was also developed. A real-life project was used to test the model. Sensitivity analysis was also conducted to explore the influence of input variables on development option value (DOV).

The test result shows that the model developed provides a better estimate of the value of an investment when compared with traditional net present value technique, which underestimate the value. Moreover, inflation rate (i) and rental value (Ri) are the most sensitive variables for DOV. An increase in i and Ri by just 5% causes a corresponding increase in DOV by 202% and 132%, respectively. While the least sensitive variable is the discount rate (r), as an increase in r by 5% causes a corresponding decrease in DOV by just 9%. The CSBBM is capable of determining the optimal time of development of buildings with an accuracy of 80.77%.

The hybrid model produces higher DOV than that of only the BM because MCS considers randomness in uncontrollable variables. Thus, building investment decision-makers should always use MCS to complement the BM in an investment analysis.

There is limited evidence on the use of this kind of hybrid model for determining DOV in practice.

This study aims to employ an integrated approach of geology, aeromagnetic and electrical resistivity techniques to evaluate the potential causes of abortive or low groundwater yield in most boreholes.

The process involved mapping geology and acquiring and processing aeromagnetic and vertical electrical sounding (VES) data. Oasis Montaj software was used for tasks like Reduction to the Equator (RTE), Upward Continuation (UC), Residual Magnetic Anomaly (RMA) and Euler Deconvolution (S. I = 1.0 and S. I = 2.0). VES utilized the Schlumberger array method, and field data underwent iterative analysis using Resist2Win software.

Total magnetic intensity (TMI) and RMA values range from −209.2 nT/m to 150.4 nT/m and −61.0 nT/m and 20.6 nT/m, respectively. High amplitude magnetic anomalies are observed in the northern and southwestern areas, indicating potential groundwater zones. Depth estimates for SI = 1.0 and 2.0 range from 11.1 m to 76.1 m and 16.4 m to 112.9 m, respectively, indicating varying overburden thickness and rock boundaries. Lineament reveals NE-SW and NW-SE trends, with hydro-lineament density ranging from low to very high. VES data identifies layers with resistivity and thickness values: topsoil (15.5–523.2 Om, 0.4–12.3 m), weathered basement (93.3–1655.7 Om, 19.0–54.7 m), fractured basement aquifer (242.7–9413.0 Om, 20.3–42.7 m) and fresh basement (62.8–935.3 Om).

Maps and conclusion generated from the study will serve as a baseline to solving completely the perennial problem of abortive and low groundwater yield.

Insecurity and other vices suffered during the acquisition of data.

The geophysical data correlates with geological mapping, verifying that areas with dense hydro-lineaments like porphyritic granites and granite gneiss are promising aquifers. This suggests that groundwater presence is influenced by structural factors, offering valuable insights for future groundwater exploration in the study area.

Building information modeling (BIM) is a process of creating an intelligent virtual model integrating project data from design to construction and operation. BIM models enhance the process of communicating the progress of construction to stakeholders and facilitate integrated project delivery, coordination and clash detection. However, barriers within the construction industry in Ethiopia has led to slow BIM adoption in the country. The aim of this paper is to identify perceived BIM barriers, provide a platform to quantify their importance and develop a regression model to link individual's personal/professional attributes to their perception of BIM barrier.

To address the objectives of this research, an online survey was developed to collect feedback from construction professionals in Ethiopia on 20 major adoption barriers extracted from a thorough review of literature. Relative importance index and strength of consensus metric were employed to identify the significance of barriers. This was then succeeded by performing exploratory factor analysis to determine the major constructs of BIM barriers which was then used to develop a multivariate regression model linking respondents' personal attributes to their perception of BIM barrier.

Results revealed the importance of project complexity and BIM maturity level in prioritizing barriers that are more relevant under various contexts. More specifically, results indicated the following study highlights: Project complexity led to higher perceived weights for lack of appropriate physical/cloud infrastructures, and a BIM standard. Higher levels of BIM maturity signified the importance of BIM internal issues such as liability, licensing and maintenance issues among other adoption barriers. Female participants tended not to consider intangibility of BIM benefits as a major barrier towards BIM adoption compared to male participants. Age of the participants turned out to be the least important factor in their prioritization of BIM perceived adoption barriers.

While many research studies have explored BIM adoption barriers in various countries around the world, none to the best of the authors' knowledge have attempted to develop a model to highlight the impact of individuals' personal/professional attributes on their perception of adoption barriers within their community which can help with prioritizing the barriers that are deemed to be more important given the characteristics of the community under study. Our result indicated the importance of BIM maturity level and project complexity in prioritizing barriers associated with BIM adoption within Ethiopia's construction industry.