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Arboleda, C A and Abraham, D M (2004) Fatalities in Trenching Operations—Analysis Using Models of Accident Causation. Journal of Construction Engineering and Management, 130(02), 273–80.

Barker, R, Childerhouse, P, Naim, M, Masat, J and Wilson, D (2004) Potential of Total Cycle Time Compression in Construction: Focus on Program Development and Design. Journal of Construction Engineering and Management, 130(02), 177–87.

Chan, A P C, Chan, D W M, Chiang, Y H, Tang, B S, Chan, E H W and Ho, K S K (2004) Exploring Critical Success Factors for Partnering in Construction Projects. Journal of Construction Engineering and Management, 130(02), 188–98.

Choi, H, Cho, H and Seo, J W (2004) Risk Assessment Methodology for Underground Construction Projects. Journal of Construction Engineering and Management, 130(02), 258–72.

Hadikusumo, B H W and Rowlinson, S (2004) Capturing Safety Knowledge Using Design-for-Safety-Process Tool. Journal of Construction Engineering and Management, 130(02), 281–9.

Hegazy, T, Elhakeem, A and Elbeltagi, E (2004) Distributed Scheduling Model for Infrastructure Networks. Journal of Construction Engineering and Management, 130(02), 160–7.

Jeong, H S, Abraham, D M and Lew, J J (2004) Evaluation of an Emerging Market in Subsurface Utility Engineering. Journal of Construction Engineering and Management, 130(02), 225–34.

  • Type: Journal Article
  • Keywords: Underground construction; Utilities; Information management; Geophysical surveys; civil engineering; public utilities; construction industry; surveying; geophysical techniques; cost-benefit analysis;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2004)130:2(225)
  • Abstract:
    Subsurface utility engineering (SUE) is a fast growing industry segment in the civil engineering arena. Subsurface utility engineering is gaining credibility as a significant tool to reduce the risk from informational uncertainty associated with underground facilities in a construction project. Subsurface utility engineering can minimize the risk primarily through mapping existing underground utility facilities, utilizing surface geophysical technologies, surveying and data management systems. This paper presents a comprehensive evaluation of SUE to facilitate a better understanding of this emerging industry by the many in the construction domain that are relatively unfamiliar with it. Topics investigated include quality levels in SUE, incorporation of SUE strategy at different stages in the construction project, and cost–benefit analysis of SUE based on 71 actual construction projects where SUE was employed. In addition, the results obtained from questionnaire surveys of State Departments of Transportation (DOTs) and the SUE industry are analyzed, which reveal the trend of state DOTs in the use of SUE and various aspects of SUE business in private sectors.

Lingard, H (2004) Work and Family Sources of Burnout in the Australian Engineering Profession: Comparison of Respondents in Dual- and Single-Earner Couples, Parents, and Nonparents. Journal of Construction Engineering and Management, 130(02), 290–8.

Lu, M and Anson, M (2004) Establish Concrete Placing Rates Using Quality Control Records from Hong Kong Building Construction Projects. Journal of Construction Engineering and Management, 130(02), 216–24.

Sacks, R, Eastman, C M and Lee, G (2004) Process Model Perspectives on Management and Engineering Procedures in the Precast/Prestressed Concrete Industry. Journal of Construction Engineering and Management, 130(02), 206–15.

Shohet, I M and Perelstein, E (2004) Decision Support Model for the Allocation of Resources in Rehabilitation Projects. Journal of Construction Engineering and Management, 130(02), 249–57.

Stewart, J, Minchin, R E, Jaselskis, E J, Dayal, V and Smith, G (2004) Potential Construction Applications for Thermoset Composite Scrap Material. Journal of Construction Engineering and Management, 130(02), 199–205.

Zhang, X (2004) Concessionaire Selection: Methods and Criteria. Journal of Construction Engineering and Management, 130(02), 235–44.

Zheng, D X M, Ng, S T and Kumaraswamy, M M (2004) Applying a Genetic Algorithm-Based Multiobjective Approach for Time-Cost Optimization. Journal of Construction Engineering and Management, 130(02), 168–76.

Zwick, D C and Miller, K R (2004) Project Buyout. Journal of Construction Engineering and Management, 130(02), 245–8.