Technical Papers
Feb 27, 2020

Developing an Underground Utility Occupation Index for Efficient Urban Utilities Planning

Publication: Journal of Construction Engineering and Management
Volume 146, Issue 5

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.

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Data Availability Statement

Data generated or analyzed during the study are available from the corresponding author by request.

Acknowledgments

This study was supported by the National Natural Science Foundation of China under Grant Nos. 71502008 and 71472052, and the Fundamental Research Fund under Grant No. YWF-18-BJ-Y-203 for the Central Universities of China.

References

Ariaratnam, S. T., K. Piratla, A. Cohen, and M. Olson. 2013. “Quantification of sustainability index for underground utility infrastructure projects.” J. Constr. Eng. Manage. 139 (12): 122–132. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000763.
ASCE. 2013. Report card for America’s infrastructure. Reston, VA: ASCE.
Bennett, J. L., M. Britch, T. Wubbena, and J. R. Plattsmier. 2015. “Picking a pipeline route through a densely developed urban environment: The challenges are not technical.” In Proc., Pipelines Conf., 1868–1878. Reston, VA: ASCE. https://doi.org/10.1061/9780784479360.171.
Bobylev, N. 2016. “Underground space as an urban indicator: Measuring use of subsurface.” Tunnelling Underground Space Technol. 55 (May): 40–51. https://doi.org/10.1016/j.tust.2015.10.024.
Boudet, H. S., D. C. Jayasundera, and J. Davis. 2012. “Drivers of conflict in developing country infrastructure projects: Experience from the water and pipeline sectors.” J. Constr. Eng. Manage. 137 (7): 561–564. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000333.
Chen, Z.-L., J.-Y. Chen, H. Liu, and Z.-F. Zhang. 2018. “Present status and development trends of underground space in Chinese cities: Evaluation and analysis.” Tunnelling Underground Space Technol. 71 (Jan): 253–270. https://doi.org/10.1016/j.tust.2017.08.027.
DOT. 2014. Significant pipeline incidents. Washington, DC: DOT.
El-Abbasy, M. S., A. Senouci, T. Zayed, F. Mirahadi, and L. Parvizsedghy. 2014. “Condition prediction models for oil and gas pipelines using regression analysis.” J. Constr. Eng. Manage. 140 (6): 04014013. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000838.
Francom, T., M. EI-Asmar, and S. T. Ariaratnam. 2016. “Performance analysis of construction manager at risk on pipeline engineering and construction projects.” J. Manage. Eng. 32 (6): 04016016. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000456.
Han, S., M. J. Chae, H. Hwang, and Y. Choung. 2015. “Evaluation of customer-driven level of service for water infrastructure asset management.” J. Manage. Eng. 31 (4): 04014067. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000293.
Hardin, D., G. Bridges, and D. Rundell. 2008. “Selecting the best pipeline route based on facts not feelings.” In Proc., Int. Pipelines Conf. Reston, VA: ASCE. https://doi.org/10.1061/40994(321)12.
Hong Kong Information Center. 2013. LCQ12: Water mains burst. Hong Kong: Hong Kong Information Center.
Huston, A. C. 2006. “A guide to route selection for large diameter pipeline projects.” In Proc., Pipeline Division Specialty Conf. Reston, VA: ASCE. https://doi.org/10.1061/40854(211)71.
Kim, S., and J. Heo. 2017. “Development of 3D underground cadastral data model in Korea: Based on land administration domain model.” Land Use Policy 60 (Jan): 123–138. https://doi.org/10.1016/j.landusepol.2016.10.020.
Li, H., X. Li, and C. K. Soh. 2016. “An integrated strategy for sustainable development of the urban underground: From strategic, economic and societal aspects.” Tunnelling Underground Space Technol. 55 (May): 67–82. https://doi.org/10.1016/j.tust.2015.12.011.
Li, S., and H. Cai. 2015. “Automated underground utility mapping and compliance checking using NLP-aided spatial reasoning.” In Proc., Int. Workshop on Computing in Civil Engineering, 419–426. Reston, VA: ASCE.
Liu, D., J. Chen, S. Li, and W. Cui. 2018. “An integrated visualization framework to support whole-process management of water pipeline safety.” Automat. Constr. 89 (May): 24–37. https://doi.org/10.1016/j.autcon.2018.01.010.
Luettinger, J., and T. Clark. 2004. “A GIS based pipeline route selection process.” In Proc., 2004 World Water and Environmental Resources Congress: Critical Transitions in Water and Environmental Resources Management, 4681–4691. Reston, VA: ASCE. https://doi.org/10.1061/40737(2004)464.
Marquez, L. O., and S. Maheepala. 1996. “An object-oriented approach to the integrated planning of urban development and utility services.” Comput. Environ. Urban 20 (4–5): 303–312. https://doi.org/10.1016/S0198-9715(96)00023-3.
Moore, D. F., C. Thompson, and R. J. Bergquist. 2002. “Geographic information system (GIS) decision modeling for water pipeline planning.” In Pipelines 2002, 46. Reston, VA: ASCE. https://doi.org/10.1061/40641(2002)46.
Osman, H. M., and T. E. EI-Diraby. 2011. “Knowledge-enabled decision support system for routing urban utilities.” J. Manage. Eng. 137 (3): 198–213. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000269.
Planning Department. 2015. Hong Kong planning standards and guidelines. Hong Kong: Planning Dept.
Putri, A. A., and T. Aditya. 2017. “3D modelling and visualization of drinking water supply system using 3D GIS.” In Proc., 2017 7th Int. Annual Engineering Seminar. New York: IEEE.
Ryan, P. K. 2004. “A versatile route selection process.” In Proc., Pipeline 2001 Conf., 107. Reston, VA: ASCE. https://doi.org/10.1061/40574(2001)62.
Salah, A. M., and D. Atwood. 2010. “Pipeline alignment optimization: Automated GIS-based approach.” J. Pipeline Syst. Eng. Pract. 2 (1): 2–13. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000067.
Shea, T. C. 2010. “Role of data management for road opening control & safety in Hong Kong.” In Working Paper. Hong Kong: Highways Dept.
Tan, R., M. Guo, and M. Wang. 2018. “Research on urban underground pipeline information system.” [In Chinese.] J. Geomatics 43 (1): 115–118. https://doi.org/10.14188/j.2095-6045.2016473.
van Son, R., S. W. Jaw, J. Yan, V. Khoo, R. Loo, S. Teo, and G. Schrotter. 2018. “A framework for reliable three-dimensional underground utility mapping for urban planning.” Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. XLII-4/W10: 209–214. https://doi.org/10.5194/isprs-archives-XLII-4-W10-209-2018.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 146Issue 5May 2020

History

Received: Jan 2, 2019
Accepted: Oct 11, 2019
Published online: Feb 27, 2020
Published in print: May 1, 2020
Discussion open until: Jul 27, 2020

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Authors

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Associate Professor, Dept. of Civil and Environmental Engineering, Hong Kong Univ. of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China. ORCID: https://orcid.org/0000-0002-9397-1011. Email: [email protected]
Associate Professor, School of Economics and Management, Beihang Univ., Xueyuan Rd., No. 37, Haidian District, Beijing 100191, China (corresponding author). ORCID: https://orcid.org/0000-0002-6220-1786. Email: [email protected]
Di Wu, Ph.D. [email protected]
Formerly, Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Hong Kong Univ. of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China; Senior Engineer, Transport Planning and Research Institute, Ministry of Transport, Building 2, 6A Shuguangxili, Beijing 100028, China. Email: [email protected]

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