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Allison, L and Kaminsky, J (2017) Safety Communication Networks: Females in Small Work Crews. Journal of Construction Engineering and Management, 143(08).

Bonham, D R, Goodrum, P M, Littlejohn, R and Albattah, M A (2017) Application of Data Mining Techniques to Quantify the Relative Influence of Design and Installation Characteristics on Labor Productivity. Journal of Construction Engineering and Management, 143(08).

Cai, H, Kuczek, T, Dunston, P S and Li, S (2017) Correlating Intelligent Compaction Data to In Situ Soil Compaction Quality Measurements. Journal of Construction Engineering and Management, 143(08).

Chan, A P C and Owusu, E K (2017) Corruption Forms in the Construction Industry: Literature Review. Journal of Construction Engineering and Management, 143(08).

Chang, C, Pan, W and Howard, R (2017) Impact of Building Information Modeling Implementation on the Acceptance of Integrated Delivery Systems: Structural Equation Modeling Analysis. Journal of Construction Engineering and Management, 143(08).

Chen, J, Taylor, J E and Comu, S (2017) Assessing Task Mental Workload in Construction Projects: A Novel Electroencephalography Approach. Journal of Construction Engineering and Management, 143(08).

Chen, X B and Kim, T W (2017) Automated Mapping of User Activities onto Flexible Space in Space-Use Analysis. Journal of Construction Engineering and Management, 143(08).

Chen, Y, McCabe, B and Hyatt, D (2017) Relationship between Individual Resilience, Interpersonal Conflicts at Work, and Safety Outcomes of Construction Workers. Journal of Construction Engineering and Management, 143(08).

Chih, Y, Kiazad, K, Cheng, D, Lajom, J A L and Restubog, S L D (2017) Feeling Positive and Productive: Role of Supervisor–Worker Relationship in Predicting Construction Workers’ Performance in the Philippines. Journal of Construction Engineering and Management, 143(08).

Davis, P R, Jefferies, M and Ke, Y (2017) Psychological Contracts: Framework for Relationships in Construction Procurement. Journal of Construction Engineering and Management, 143(08).

Diab, M F, Varma, A and Panthi, K (2017) Modeling the Construction Risk Ratings to Estimate the Contingency in Highway Projects. Journal of Construction Engineering and Management, 143(08).

El-Gohary, K M, Aziz, R F and Abdel-Khalek, H A (2017) Engineering Approach Using ANN to Improve and Predict Construction Labor Productivity under Different Influences. Journal of Construction Engineering and Management, 143(08).

Faust, K M and Kaminsky, J A (2017) Building Water and Wastewater System Resilience to Disaster Migration: Utility Perspectives. Journal of Construction Engineering and Management, 143(08).

Forcada, N, Gangolells, M, Casals, M and Macarulla, M (2017) Factors Affecting Rework Costs in Construction. Journal of Construction Engineering and Management, 143(08).

Ghanbaripour, A N, Langston, C and Yousefi, A (2017) Implementation of 3D Integration Model for Project Delivery Success: Case Study. Journal of Construction Engineering and Management, 143(08).

Jafari, A, Valentin, V and Berrens, R P (2017) Estimating the Economic Value of Energy Improvements in U.S. Residential Housing. Journal of Construction Engineering and Management, 143(08).

Kang, Y, Siddiqui, S, Suk, S J, Chi, S and Kim, C (2017) Trends of Fall Accidents in the U.S. Construction Industry. Journal of Construction Engineering and Management, 143(08).

Kifokeris, D and Xenidis, Y (2017) Constructability: Outline of Past, Present, and Future Research. Journal of Construction Engineering and Management, 143(08).

Loudoun, R and Markwell, K (2017) Energy Drink Consumption in the Australian Construction Industry: A Risky New Trend?. Journal of Construction Engineering and Management, 143(08).

Love, P E D and Teo, P (2017) Statistical Analysis of Injury and Nonconformance Frequencies in Construction: Negative Binomial Regression Model. Journal of Construction Engineering and Management, 143(08).

Marín, L S and Roelofs, C (2017) Promoting Construction Supervisors’ Safety-Efficacy to Improve Safety Climate: Training Intervention Trial. Journal of Construction Engineering and Management, 143(08).

Nasrazadani, H, Mahsuli, M, Talebiyan, H and Kashani, H (2017) Probabilistic Modeling Framework for Prediction of Seismic Retrofit Cost of Buildings. Journal of Construction Engineering and Management, 143(08).

Nguyen, H D, Nguyen, L D, Chih, Y and Le-Hoai, L (2017) Influence of Participants’ Characteristics on Sustainable Building Practices in Emerging Economies: Empirical Case Study. Journal of Construction Engineering and Management, 143(08).

Ozdemir, B and Kumral, M (2017) Stochastic Assessment of the Material Haulage Efficiency in the Earthmoving Industry. Journal of Construction Engineering and Management, 143(08).

Poleacovschi, C and Javernick-Will, A (2017) Who Are the Experts? Assessing Expertise in Construction and Engineering Organizations. Journal of Construction Engineering and Management, 143(08).

Schöttle, A and Arroyo, P (2017) Comparison of Weighting-Rating-Calculating, Best Value, and Choosing by Advantages for Bidder Selection. Journal of Construction Engineering and Management, 143(08).

Selçuk Çıdık, M, Boyd, D and Thurairajah, N (2017) Innovative Capability of Building Information Modeling in Construction Design. Journal of Construction Engineering and Management, 143(08).

Shrestha, K J, Jeong, H D and Gransberg, D D (2017) Multidimensional Highway Construction Cost Indexes Using Dynamic Item Basket. Journal of Construction Engineering and Management, 143(08).

  • Type: Journal Article
  • Keywords: Highway construction cost index; Inflation; Dynamic item basket; Multidimensional highway construction cost index (HCCI); Construction market basket; Construction market conditions; Planning and budgeting; Big data; Data analytics; Automation; Cost and sc
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001307
  • Abstract:
    A highway construction cost index (HCCI) is an indicator of the purchasing power of a highway agency. Thus, it must reflect the actual construction market conditions. However, current methods used by most state departments of transportation are not robust enough to meet this primary goal due to (1) a significantly insufficient sample size of bid items used in HCCI calculation; and (2) inability to address the need to track highway construction market conditions in specific submarket segments such as, but not limited to, various project types, sizes, and locations. This study proposes an advanced methodology to overcome these apparent limitations using two new concepts: (1) dynamic item basket; and (2) multidimensional HCCIs. The dynamic item basket process identifies and utilizes an optimum amount of bid-item data to calculate HCCIs in order to minimize the potential error due to a small sample size, which leads to a better reflection of the current market conditions. Multidimensional HCCIs dissect the state highway construction market into distinctively smaller sectors of interest and thus, allow state Departments of Transportation to understand the market conditions with much higher granularity. A framework is developed to integrate these two concepts and a standalone prototype system, named the Dyna-Mu-HCCI System, is developed to automate the data-processing part of the framework. The historical bid data of the Montana Department of Transportation are used to evaluate the performance of the Dyna-Mu-HCCI System and measure the effects of the dynamic item basket (DIB) and multidimensional HCCIs. The results show an eightfold increase in terms of the number of bid items used in calculating HCCIs and at least a 20% increase in terms of the total cost of bid items used. In addition, the multidimensional HCCIs reveal different cost-change patterns from different highway sectors. For example, the bridge construction market historically shows a very different trend compared with the overall highway construction market. The new methodology is expected to aid state Departments of Transportation in making more-reliable decisions in preparing business plans and budgets with more accurate and detailed information about the construction market conditions. Further, the prototype Dyna-Mu-HCCI System is expected to significantly facilitate the HCCI calculation process and rapidly implement this new system.

Sundararajan, S K and Tseng, C (2017) Managing Project Performance Risks under Uncertainty: Using a Dynamic Capital Structure Approach in Infrastructure Project Financing. Journal of Construction Engineering and Management, 143(08).

Xia, N, Zhong, R, Wu, C, Wang, X and Wang, S (2017) Assessment of Stakeholder-Related Risks in Construction Projects: Integrated Analyses of Risk Attributes and Stakeholder Influences. Journal of Construction Engineering and Management, 143(08).

Xie, W, Zhao, T, Tang, J and Zhang, Y (2017) Arch First and Beam Later: Arch-Rib Integral Installation Construction Technology for Large-Span Tied-Arch Bridge. Journal of Construction Engineering and Management, 143(08).

Xu, J and Zhao, S (2017) Noncooperative Game-Based Equilibrium Strategy to Address the Conflict between a Construction Company and Selected Suppliers. Journal of Construction Engineering and Management, 143(08).

Yeoh, J K W and Chua, D K H (2017) Optimizing Crane Selection and Location for Multistage Construction Using a Four-Dimensional Set Cover Approach. Journal of Construction Engineering and Management, 143(08).

Zhang, L and El-Gohary, N M (2017) Human-Centered Value Analysis: Building-Value Aggregation Based on Human Values and Building-System Integration. Journal of Construction Engineering and Management, 143(08).

Zhang, Z, Li, M, Chen, J, Wang, J and Zeng, F (2017) Innovative Construction Method for Oversized Excavations with Bipartition Walls. Journal of Construction Engineering and Management, 143(08).

Zhao, X, Chen, L, Pan, W and Lu, Q (2017) AHP-ANP–Fuzzy Integral Integrated Network for Evaluating Performance of Innovative Business Models for Sustainable Building. Journal of Construction Engineering and Management, 143(08).

Zolfagharian, S and Irizarry, J (2017) Constructability Assessment Model for Commercial Building Designs in the United States. Journal of Construction Engineering and Management, 143(08).