Risk Matrix for Factors Affecting Time Delay in Road Construction Projects: Consultants’ Perspective

2011 ◽  
Vol 147 ◽  
pp. 244-248 ◽  
Author(s):  
Ibrahim Mahamid

The aim of this study is to identify the risk matrix for factors causing time delay in road construction projects in the West Bank in Palestine from consultants’ viewpoint. Three zones were used in the matrix according to the degree of factors severity on the projects’ time delay; which are: green, yellow, and red. The analysis of 43 factors considered in a survey indicates that 2 factors are located in the green zone, 28 factors are located in the yellow zone, and 13 factors are located in the red zone.

2013 ◽  
Vol 13 (2) ◽  
pp. 45-53 ◽  
Author(s):  
Ibrahim Mahamid

The construction sector is one of the key economic sectors and is the main force motivating the Palestinian national economy. However, it suffers from number of problems that affect time, cost and quality performances. This study aims at identifying the common risks affecting time overrun in road construction projects in the West Bank in Palestine from contractors’ viewpoint. 45 factors that might cause delays of road construction projects were defined through a detailed literature review. A questionnaire survey was performed to rank the considered factors in terms of severity and frequency. The analysis of the survey indicated that the top risks affecting time overrun in road construction projects in Palestine are: financial status of the contractors, payments delay by the owner, political situation, segmentation of the West Bank, poor communication between construction parties, lack of equipment efficiency, and high competition in bids.


2019 ◽  
Vol 14 (3) ◽  
pp. 527-546
Author(s):  
Mukhtar A. Kassem ◽  
Muhamad Azry Khoiry ◽  
Noraini Hamzah

Purpose This study aims to identify and assess the significant risks in Yemen oil and gas construction projects based on their risk rating (impact and probability) by using probability–impact matrix (PIM). Design/methodology/approach In total, 51 risk factors that might affect construction projects in the oil and gas sector are defined through a detailed literature review and expert judgment. The risk factors were tabulated in a questionnaire form, which was sent to a total of 400 participants asking their contribution in identifying the risk matrix for the risk factors in terms of impact and probability of occurrence during the project life cycle. Five zones were used in the matrix according to the degree of risk factor’s severity on the success of the project. These zones are light green, dark green, yellow, light red and dark red. Findings The PIM analysis for risk factors found that five factors are located in the dark red zone, as top risks factors have a very high impact and very high probability of occurring; 40 factors are located in the light red zone; six factors are located in the yellow zone; and no factors are located in the green zone (light and dark), which is considered an indication of the importance of risk factors under study and their impact on the success of construction projects in the oil and gas sector. Moreover, the factors under feasibility study and design and resources and material; are the most categories effect on project success. Research limitations/implications The research was limited to the oil and gas construction projects in Yemen. Practical implications Practically, this study highlights the top risk factors in oil and gas construction projects, which might cause an adverse effect on project success in Yemen. Classification and ranking of these factors by using the risk matrix provide the basis for risk response planning to enhance the chances of project success. Originality/value This paper identifies the matrix for risk factors affecting the success of construction projects in the oil and gas industry in Yemen. There is a significant contribution expected from this research, especially for companies operating in the oil and gas sector and other organizations that plan to invest in this field, in addition to expected benefits for the Yemeni Government and researchers because of lack of research in this area.


2020 ◽  
Vol 3 (1) ◽  
pp. 135
Author(s):  
Samuel Semaya ◽  
Basuki Anondho

National development for almost 70 years since independence Indonesia has produced various advances, but it was realized that the development process carried out so far turned out to have caused a residual problem of development inequality, especially in rural areas. the development approach which only emphasizes macroeconomic growth tends to lead to a large development gap between regions. Therefore, this study would like to conduct a study of the dominant demographic characteristic factors affecting construction projects in rural Indonesia. The research was conducted by distributing questionnaires to contractors selected by the Ministry of Village. The source of the questionnaire used is through previously identified journals and books. The method used in analyzing data is factor analysis. Data analysis was carried out starting from the validity test, reliability test, KMO test, MSA test, communality test, and determining the dominant influence factor. Based on the data analysis conducted, it was concluded that the most dominant demographic characteristic factors affecting road construction projects in rural Indonesia were education, gender, age, urbanization, and labor.AbstrakPembangunan nasional selama hampir 70 tahun sejak Indonesia merdeka telah menghasilkan berbagai kemajuan, namun disadari bahwa proses pembangunan yang dilaksanakan selama ini ternyata telah menimbulkan residu masalah kesenjangan pembangunan, khususnya wilayah pedesaan. pendekatan pembangunan yang hanya menekankan pada pertumbuhan ekonomi makro, cenderung menimbulkan terjadinya kesenjangan pembangunan antar wilayah yang cukup besar. Oleh karena itu, studi ini ingin melakukan penelitian tentang faktor demografi dominan yang mempengaruhi proyek konstruksi jalan di pedesaan Indonesia. penelitian dilakukan dengan penyebaran kuesioner kepada kontraktor yang dipilih oleh Kementerian Desa. Sumber kuesioner yang digunakan adalah melalui jurnal dan buku yang telah diidentifikasi lebih dulu. Metode yang dipakai dalam menganalisis data adalah analisis faktor. Analisis data dilakukan mulai dari uji validitas, uji reliabilitas, uji KMO, uji MSA, uji komunalitas, dan menentukan faktor pengaruh dominan. Berdasarkan analisis data yang dilakukan, diperoleh kesimpulan bahwa faktor demografi yang paling dominan yang mempengaruhi terhadap proyek konstruksi jalan di pedesaan Indonesia adalah pendidikan, jenis kelamin, usia, urbanisasi, dan tenaga kerja.


Author(s):  
Ibrahim Mahamid

Purpose This study aims at identifying the main causes of change orders in highway construction projects, determining the factors that affect rework in highway construction projects, examining the relationship between change orders and rework and at developing a predictive model that will determine the impact of change orders on rework in highway construction projects in Palestine. Design/methodology/approach A questionnaire survey was used to identify the main change order causes and rework causes from the perspectives of contractors and consultants. The questionnaire contained 16 causes of change orders and 19 causes of rework which had been identified from the literature reviewed. The study also identifies the impact of change orders on rework based on data comprising 22 highway construction projects implemented in Palestine. Both descriptive and inferential statistics were used in analyzing the data. Findings The study concluded that the five most common causes of change orders can be identified as: change of project scope by owner (additional – enhancement), lack of coordination between construction parties; owner’s financial difficulties, change in materials, and errors and omissions in design. The study has also established that among the various factors that causes rework, non-conformance with specification requirements, scope changes, late design changes, lack of labor experience, lack of labor skills and improper subcontractor selection top the list. Using regression analysis, the results reveal a significant relationship between change orders and rework cost in highway construction projects in Palestine. Practical implications By ranking the various change orders causes and rework causes from the perspectives of consultants and contractors, the study provides a fresh perspective on an old chronic problem in the construction sector. This study has provided evidence on the most significant change orders causes and rework causes in the Palestinian highway construction, as well as the impact of change orders or rework on constructions sites. Finally, although this study is specific to the country of Palestine, its results can be applicable to other developing countries facing similar problems in their public construction sectors. Originality/value The results address the common causes of change orders and reworks in highway construction projects in Palestine. The results also address the relation between change orders and rework cost based on data collected from highway construction projects implemented in the West Bank in Palestine. This study is the first study conducted in the West Bank in Palestine to identify the change orders and reworks causes in highway construction projects.


2018 ◽  
Vol 18 (4) ◽  
pp. 1-23 ◽  
Author(s):  
Noah Mwelu ◽  
Peter R Davis ◽  
Yongjian Ke ◽  
Susan Watundu

The construction industry faces a lack of compliance with policy that in Uganda public road construction projects affects the attainment of Government goals and disrupts infrastructure project delivery. For decades, public entities have been known for a lack of compliance that manifest in: poor performance, poor personnel management, poor resource utilization and unprofessionalism. In Uganda, this has resulted in several restructures aimed at improving service delivery. Despite this, compliance remains an issue. The purpose of this study is to establish factors affecting compliance within a public procurement regulatory framework in public road construction projects and foster economic development. A cross-sectional research design including a structured self-administered questionnaire survey and PLS-SEM data analysis by SmartPLS3 was conducted. The research reveals that three factors positively affect compliance with a regulatory framework that govern public road construction projects; sanctions on staff, inefficiency of the public procurement regulatory framework and contractors’ resistance to non-compliance. While a further three factors have little positive effect on compliance; familiarity, monitoring activities and professionalism. Hence, the research contributes to construction management by showing that sanctions, perceived inefficiency and contractors’ resistance significantly enhance compliance within a public procurement regulatory framework.


2012 ◽  
Vol 12 (1) ◽  
pp. 58-71 ◽  
Author(s):  
Ibrahim Mahamid ◽  
Amund Bruland

This paper investigates the statistical relationship between actual and estimated cost of road construction projects using data from road construction projects awarded in the West Bank in Palestine over the years 2004–2008. The study is based on a sample of 169 road construction projects. Based on this data, regression models are developed. The findings reveal that 100% of projects suffer from cost diverge, it is found that 76% of projects have cost under estimation while 24% have cost over estimation. The discrepancy between estimated and actual cost has an average of 14.6%, ranging from -39% to 98%. The relation between the project size (length and width) and the cost diverge is discussed.


2021 ◽  
Vol 13 (24) ◽  
pp. 13694
Author(s):  
Kang-Wook Lee ◽  
Kyong-Hoon Kim

The development of road infrastructure is closely related to national competitiveness and presents significant socioeconomic impacts. However, road construction involves a large budget and is vulnerable to political, economic, social, and project-specific risks, which often result in cost overruns and schedule delays. Assessing the gap between the final performance and the planned performance, and providing feedback to similar projects in the future is essential for successful project planning and management. The aim of this study is to empirically analyze the cost and schedule growth of road construction projects, considering project characteristics. Using the national-level project performance data, the primary goal is to answer, “Do project characteristics influence the road project performance? If so, how different is the performance because of the project characteristics?” To this end, this study analyzes the cost and schedule growth of 423 road construction projects, considering five project characteristics: facility type, construction type, bid type, contract type, and project size. Non-parametric tests (the Mann–Whitney U test and the Kruskal–Wallis test) are used to analyze the differences between sample groups. The results demonstrate (1) better management of the performance of the highway when compared to the national and provincial roads; (2) higher schedule growth of the expansion and renovation than that of the new construction; (3) lower cost growth of the design-build method (turnkey and alternative) than the design-bid-build methods (qualification examination and lowest price); and (4) relatively larger cost and schedule growth for projects over $50 million than those of smaller projects. These results present empirical references from the Korean construction industry that can help construction-related entities (clients, design consultants, and contractors) to estimate and manage the cost and schedule buffers of future projects by considering different project characteristics. Discussions and suggestions connected with the findings are also provided. Future research will continue to shed light on the critical factors affecting the cost and schedule growth.


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