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Charkhakan, M H and Heravi, G (2023) Quantifying the predictability and preventability of conflicts between construction project parties. Engineering, Construction and Architectural Management, 30(05), 1932-50.

Chew, M Y L (2002) Resistance of polyurethane sealants to hot water. Building Research & Information, 30(05), 367–71.

Choy, L H T, Ho, W K O and Mak, S W K (2012) Housing attributes and Hong Kong real estate prices: a quantile regression analysis. Construction Management and Economics, 30(05), 359-66.

Jacobsson, M and Linderoth, H C J (2012) User perceptions of ICT impacts in Swedish construction companies: 'it's fine, just as it is'. Construction Management and Economics, 30(05), 339-57.

Kerali, A G and Thomas, T H (2002) Effect of mix retention and curing on low-cement walling blocks. Building Research & Information, 30(05), 362–6.

Khanh, H D, Kim, S Y and Linh, L Q (2023) Construction productivity prediction through Bayesian networks for building projects: case from Vietnam. Engineering, Construction and Architectural Management, 30(05), 2075-100.

Kohler, N and Lutzkendorf, T (2002) Integrated life-cycle analysis. Building Research & Information, 30(05), 338–48.

Liang, R, Li, R, Yan, X, Xue, Z and Wei, X (2023) Evaluating and selecting the supplier in prefabricated megaprojects using extended fuzzy TOPSIS under hesitant environment: a case study from China. Engineering, Construction and Architectural Management, 30(05), 1902-31.

Lingard, H C, Cooke, T and Blismas, N (2012) Designing for construction workers' occupational health and safety: a case study of socio-material complexity. Construction Management and Economics, 30(05), 367-82.

Liu, L, Wang, X and Sheng, Z (2012) Achieving ambidexterity in large, complex engineering projects: a case study of the Sutong Bridge project. Construction Management and Economics, 30(05), 399-409.

Maharjan, S, Shrestha, P P and Srirangam, D (2023) Impact of mobilization costs on schedule performance of highway projects. Engineering, Construction and Architectural Management, 30(05), 2008-25.

  • Type: Journal Article
  • Keywords: construction intensity; construction schedule growth; highway projects; mobilization costs
  • ISBN/ISSN:
  • URL: https://doi.org/10.1108/ECAM-10-2021-0852
  • Abstract:

    Purpose: The purpose of this study is to determine whether there is a correlation between mobilization costs and project schedule performance of highway projects. In addition to this, the study will also determine if the mobilization costs are helping small or large highway projects in terms of improving the schedule performance. Design/methodology/approach: The data of 206 highway projects were collected from the Department of Transportation of two states with the help of questionnaire survey. The cost, schedule and mobilization costs data were collected. The performance metrics related to construction schedule growth and construction intensity were developed in order to test the research hypotheses: mobilization costs will increase the schedule performance of highway projects. The data were also divided into two groups based on project cost and analyzed to check whether the mobilization costs impact the schedule performance of these highway projects. Spearman’s correlation test was conducted to determine the correlation between dependent and independent variables. In addition, a Mann–Whitney test was conducted to determine the difference in medians of construction schedule growth and the construction intensity of these two groups of projects. Findings: One major study finding was that there was no strong linear correlation between the mobilization cost percentage and the construction schedule growth and construction intensity of highway projects. However, the study found the projects that have 9% or more mobilization costs had significantly better schedule growth compared to the projects that have less than 9% mobilization costs. When data were analyzed based on the project size, it was found that this pattern was seen only in large projects costing equal to or more than $5 million. Practical implications: This study’s findings have very crucial practical implications to state DOTs contract engineers. This study shows that the highway contract engineers need to provide the right amount of mobilization costs to complete their projects on and before schedule. If the correct amount of mobilization costs is not provided to the contractors, the impact of these mobilization costs on reducing the schedule growth will be negligible. The findings of this study will assist public agency decision makers to complete their projects on or before time by including the mobilization costs provision in the contract. The state DOTs can improve their schedule performance by providing enough financial help to the contractors so that they can improve their cash flows and complete projects successfully within the given timeframe. Originality/value: This paper contributes to the existing body of knowledge by validating the impact of mobilization costs on the schedule performance of highway projects. There has been no empirical study conducted prior to this to identify the role of mobilization costs on reducing the schedule growth of highway projects.

Mansoori, S, Harkonen, J and Haapasalo, H (2023) Productization and product structure enabling BIM implementation in construction. Engineering, Construction and Architectural Management, 30(05), 2155-84.

Moshtaghian, F and Noorzai, E (2023) Integration of risk management within the building information modeling (BIM) framework. Engineering, Construction and Architectural Management, 30(05), 1951-77.

Osuizugbo, I C, Kukoyi, P O, Abisuga, A O and Ibrahim, K (2023) Choosing to be a craftsperson: factors influencing career decision-making among apprentices. Engineering, Construction and Architectural Management, 30(05), 2026-47.

Pham, H T, Pham, T, Truong Quang, H and Dang, C N (2023) Impact of transformational leadership on green learning and green innovation in construction supply chains. Engineering, Construction and Architectural Management, 30(05), 1883-901.

Qabaja, M and Tenekeci, G (2023) Nexus between construction sector and economic indicators for Turkey and European Union evidenced by panel data analysis. Engineering, Construction and Architectural Management, 30(05), 1978-2007.

Sena, T C and Fabricio, M M (2023) Framework proposal for BIM implementation in Brazilian construction and development companies. Engineering, Construction and Architectural Management, 30(05), 2101-23.

Sompolgrunk, A, Banihashemi, S, Hosseini, M R, Golzad, H and Hajirasouli, A (2023) An integrated model of BIM return on investment for Australian small- and medium-sized enterprises (SMEs). Engineering, Construction and Architectural Management, 30(05), 2048-74.

Stasinopoulos, T N (2023) Comparing insolation on building façades in five different climates. Engineering, Construction and Architectural Management, 30(05), 1835-63.

Straub, A (2002) Strategic technical management of housing stock: lessons from Dutch housing associations. Building Research & Information, 30(05), 372–81.

Tam, C M, Tam, V W Y and Zeng, S X (2002) Environmental Performance Evaluation (EPE) for construction. Building Research & Information, 30(05), 349–61.

Wuni, I Y, Shen, G Q and Saka, A B (2023) Computing the severities of critical onsite assembly risk factors for modular integrated construction projects. Engineering, Construction and Architectural Management, 30(05), 1864-82.

Zhang, Q, Oo, B L and Lim, B T H (2023) Key practices and impact factors of corporate social responsibility implementation: Evidence from construction firms. Engineering, Construction and Architectural Management, 30(05), 2124-54.

Zimina, D, Ballard, G and Pasquire, C (2012) Target value design: using collaboration and a lean approach to reduce construction cost. Construction Management and Economics, 30(05), 383-98.