Project complexity and risk management (ProCRiM) : towards modelling project complexity driven risk paths in construction projects

This work proposes a new approach by integrating statistical, machine learning, and multi-criteria decision analysis, including artificial neural network (ANN), logistic regression (LR), frequency ratio (FR), and analytical hierarchy process (AHP). Dependent (flood inventory) and independent variables (flood causative factors) were prepared using remote sensing data and the Mike-11 hydrological model and secondary data from different sources. The flood inventory map was randomly divided into training and testing datasets, where 334 flood locations (70%) were used for training and the remaining 141 locations (30%) were employed for testing. Using the area under the receiver operating curve (AUROC), predictive power of the model was tested. The results revealed that LR model had the highest success rate (81.60%) and prediction rate (86.80%), among others. Furthermore, different combinations of the models were evaluated for flood susceptibility mapping and the best combination (11C) was used for generating a new flood hazard map for Bangladesh. The performance of the 11C integrated models was also evaluated using the AUROC and found that integrated LR-FR model had the highest predictive power with an AUROC value of 88.10%. This study offers a new opportunity to the relevant authority for planning and designing flood control measures.

Flood Susceptibility Assessment in Bangladesh Using Machine Learning and Multi-criteria Decision Analysis

Analytical planning: The organization of systems: Thomas L. SAATY and Keven P. KEARNS Volume 7 in: International Series in Modern Applied Mathematics and Computer Science, Pergamon, Oxford, 1985, viii + 208 pages, $40.00

Purpose – While a considerable amount of knowledge has been accumulated about dispute causation, disputes continue to prevail and disharmonise the process of construction with considerable cost. This paper seeks to identify the underlying pathogens that clients and contractors perceive to contribute to disputes in construction projects. The identification of pathogens can provide an ameliorated understanding of the origin of disputes and therefore enable their prevention.Design/methodology/approach – Case law and focus groups with a client and contracting organisation from Western Australia are used to determine the pathogens of disputes.Findings – Analysis of the case law findings revealed that the underlying issues that were brought to litigation were to do with points of law, namely “civil procedure”. A significant number of disputes are thus settled using alternative dispute resolution methods such as adjudication, arbitration and mediation. For clients the underlying latent conditions that resulted i...

Dispute causation: identification of pathogenic influences in construction. | NOVA. The University of Newcastle's Digital Repository

Current research trends and application areas of fuzzy and hybrid methods to the risk assessment of construction projects

Quantifying the complexity of transportation projects using the fuzzy analytic hierarchy process

Project complexity is a contributing factor to project performance. Understanding how project complexity interacts with management actions and project performance is imperative. This study fills th...

Effect of project complexity on cost and schedule performance in transportation projects

Purpose




This study aims to identify key knowledge enabling factors (KEFs) which can enable construction companies to improve various organizational effectiveness outcomes (OEOs).




Design/methodology/approach




Using a questionnaire, data are collected from construction companies in Vietnam. Mean score method is used to calculate the mean values of KEFs. In addition, regression analysis is used to identify KEFs which significantly affect OEOs.




Findings




A list of 32 KEFs, whose ranking orders of importance are provided according to different types of construction companies, is presented. In addition, different lists of specific KEFs which could significantly affect different OEOs are identified. Furthermore, seven key KEFs which could have a significant impact on many OEOs are highlighted.




Practical implications




The findings of this study could help construction companies to know the controllable KEFs, on which they should focus more. Hence, they could perform these KEFs properly to improve various aspects of organizational effectiveness.




Originality/value




This study identifies 32 KEFs and 10 OEOs specifically for knowledge management in construction companies. This study also provides construction companies with a better understanding of the impact of KEFs on various aspects of organizational effectiveness. Hence, they could develop effective KEFs-based management strategies to enhance various aspects of organizational effectiveness.

Impact of knowledge enabling factors on organizational effectiveness in construction companies

Purpose – Design-build (DB) has become widely prosperous in recent years. This new approach could be applicable to construction projects in either developed or developing countries. However, the implementation process of DB in Vietnam encounters difficulties due to the unfamiliarity and inexperience with the approach. This study aims to identify the correlation and causality between critical success factors (CSFs) and DB project performance measured by key performance indicators (KPIs). Design/methodology/approach – A questionnaire was used to collect the project data from public and private sector DB projects in Vietnam. The correlation between CSFs and KPIs was identified through correlation analysis. Then, the causality was explored through regression analysis. Findings – The results of correlation indicate that parties’ capabilities play an important role in determining the success or failure of DB projects. In addition, the results of causality highlight six CSFs which significantly affect DB project...

Critical success factors for implementation process of design-build projects in Vietnam

Purpose




The purpose of this paper is to identify risk patterns of road and bridge projects in Vietnam, where the construction market is emerging but attractive to construction organizations, especially foreign companies.




Design/methodology/approach




Using a questionnaire, experienced practitioners of various contractors were interviewed to collect risk-related data in terms of actual likelihood and impact from road and bridge construction projects in Vietnam. Using the collected data of actual likelihood and impact, the specific probability and impact of risk factors were determined for different types of road and bridge projects, including small and medium type, big type, government-funding type, and other-funding type (e.g. official development assistance funds, public-private partnership).




Findings




The results of analysis indicate the specific probability and impact of risk factors in four risk themes, including contractor-related, project-related, owner-related, and external risks. Actual risk patterns for different types of road and bridge projects in Vietnam were identified.




Practical implications




The identification of actual risk patterns could help practitioners to know which risk factors are severe in frequency and/or impact. Hence, they could establish proper strategies to manage risk-related problems of road and bridge projects, in which they are directly involved.




Originality/value




The findings of this study could provide construction companies, especially foreign companies, with a better understanding of real risk panorama in Vietnamese road and bridge construction. Hence, they could make effective improvements on risk management of road and bridge projects in Vietnam.

Chau Ngoc Dang

Papers

Quantifying the complexity of transportation projects using the fuzzy analytic hierarchy process

Effect of project complexity on cost and schedule performance in transportation projects

Impact of knowledge enabling factors on organizational effectiveness in construction companies

Critical success factors for implementation process of design-build projects in Vietnam

Identification of risk patterns in Vietnamese road and bridge construction: Contractor’s perspective