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Assaad, R, El-Adaway, I H and Abotaleb, I S (2020) Predicting Project Performance in the Construction Industry. Journal of Construction Engineering and Management, 146(05).
Chan, A P C, Chiang, Y, Wong, F K, Liang, S and Abidoye, F A (2020) Work–Life Balance for Construction Manual Workers. Journal of Construction Engineering and Management, 146(05).
Firouzi, A and Khayyati, M (2020) Bayesian Updating of Copula-Based Probabilistic Project-Duration Model. Journal of Construction Engineering and Management, 146(05).
Gao, N and Touran, A (2020) Cost Overruns and Formal Risk Assessment Program in US Rail Transit Projects. Journal of Construction Engineering and Management, 146(05).
Hacker, M E, Kaminsky, J, Faust, K M and Rauch, S (2020) Regulatory Enforcement Approaches for Mass Population Displacement. Journal of Construction Engineering and Management, 146(05).
Hasanzadeh, S, de la Garza, J M and Geller, E S (2020) Latent Effect of Safety Interventions. Journal of Construction Engineering and Management, 146(05).
Hu, Q, Bai, Y, He, L, Cai, Q, Tang, S, Ma, G, Tan, J and Liang, B (2020) Intelligent Framework for Worker-Machine Safety Assessment. Journal of Construction Engineering and Management, 146(05).
Hua, Y, He, J, Gong, J and Zhao, J (2020) Hazardous Area Risk-Based Evacuation Simulation and Analysis of Building Construction Sites. Journal of Construction Engineering and Management, 146(05).
Krechowicz, M (2020) Comprehensive Risk Management in Horizontal Directional Drilling Projects. Journal of Construction Engineering and Management, 146(05).
Liu, C, AbouRizk, S, Morley, D and Lei, Z (2020) Data-Driven Simulation-Based Analytics for Heavy Equipment Life-Cycle Cost. Journal of Construction Engineering and Management, 146(05).
Liu, J and Lu, M (2020) Synchronized Optimization of Various Management-Function Schedules in a Multiproject Environment: Case Study of Planning Steel Girder Fabrication Projects in Bridge Construction. Journal of Construction Engineering and Management, 146(05).
Lu, W, Xu, J and Söderlund, J (2020) Exploring the Effects of Building Information Modeling on Projects: Longitudinal Social Network Analysis. Journal of Construction Engineering and Management, 146(05).
Martínez-Rocamora, A, García-Alvarado, R, Casanova-Medina, E, González-Böhme, L F and Auat-Cheein, F (2020) Parametric Programming of 3D Printed Curved Walls for Cost-Efficient Building Design. Journal of Construction Engineering and Management, 146(05).
Navon, R (2020) The Last Lecture: The Need for Civil Engineering Education to Stimulate Thinking Instead of Only Teaching. Journal of Construction Engineering and Management, 146(05).
Nguyen, P H D, Tran, D and Lines, B C (2020) Fuzzy Set Theory Approach to Classify Highway Project Characteristics for Delivery Selection. Journal of Construction Engineering and Management, 146(05).
Okonkwo, P N and Wium, J (2020) Health and Safety Management Systems within Construction Contractor Organizations: Case Study of South Africa. Journal of Construction Engineering and Management, 146(05).
Pan, M and Pan, W (2020) Understanding the Determinants of Construction Robot Adoption: Perspective of Building Contractors. Journal of Construction Engineering and Management, 146(05).
Raoufi, M and Fayek, A R (2020) Fuzzy Monte Carlo Agent-Based Simulation of Construction Crew Performance. Journal of Construction Engineering and Management, 146(05).
Song, M H and Fischer, M (2020) Generating a Daily Bill of Materials at Level of Development 400 Using the Smallest Workface Boundary. Journal of Construction Engineering and Management, 146(05).
Tomczak, M and JaÅ›kowski, P (2020) New Approach to Improve General Contractor Crew’s Work Continuity in Repetitive Construction Projects. Journal of Construction Engineering and Management, 146(05).
Wondimu, P A, Klakegg, O J, Lohne, J and Lædre, O (2020) Experiences with Best-Value Procurement in Norway and the Netherlands. Journal of Construction Engineering and Management, 146(05).
Yu, T, Liang, X and Wang, Y (2020) Factors Affecting the Utilization of Big Data in Construction Projects. Journal of Construction Engineering and Management, 146(05).
Zhang, X, Li, Y and Wu, D (2020) Developing an Underground Utility Occupation Index for Efficient Urban Utilities Planning. Journal of Construction Engineering and Management, 146(05).
- Type: Journal Article
- Keywords: Underground utilities planning; Urban development; Occupation index; Sustainability;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001810
- Abstract:
In almost all modern cities, various utility pipelines and cables often form a maze of underground utility network. Mismanagement of underground utility incidents could cause serious consequences including unavailability of services, property damages, and personnel injuries and fatalities. Since one major reason for mismanagement is unsuitable urban utilities planning, it is a challenging task to plan urban utilities in an efficient way. This paper proposes an underground utility occupation index (UUOI), which serves as an indicator of urban utilities development. With the statistical information of existing utilities in the predefined polygons, UUOI provides planning information, including underground space already occupied, and space available for future utilization by analyzing from multiple perspectives: by utility, by zone, by road category (footway and carriageway), and by city district. UUOI supports utility companies and governmental authorities in their decision-making at both the microlevel and macrolevel. At the microlevel, UUOI provides the necessary utility and space information for utility companies to share information in making long-term and short-term development plans to partially avoid conflicts between utilities belonging to different companies and adopt suitable construction methods to minimize damages to existing utilities. At the macrolevel, the UUOI can be used to extrapolate from a small scale to a large scale to facilitate government authorities in urban planning and development. The consolidated UUOI enables the differentiation and prioritization of areas of different levels of utility density and facilitates government authorities in formulating guidelines for future urban development, establishing strategic development areas and issuing permits for underground works. The improved practices of both government authorities and utility companies will also reduce disturbance to the general public. An illustrative example has demonstrated the applicability and usefulness of UUOI.