Scholarly Papers
Dec 20, 2023

Sample of Legal Provision Retrieval Using Topic Clustering to Support Utility Relocation Agreement Drafting in Highway Projects

Publication: Journal of Legal Affairs and Dispute Resolution in Engineering and Construction
Volume 16, Issue 2

Abstract

Utility agreements are legal documents containing specialized clauses that legally define stakeholders’ responsibilities for eliminating utility relocation delays in the right of way of highway projects. However, retrieving sample language for developing such an agreement remains a manual, time-consuming, and labor-intensive task. No previous study has developed a database for quick retrieval of sample clauses retrieval. This paper presents the first effort to develop a well-structured database of utility-related clauses in highway construction projects. This is achieved through an unsupervised topic modeling that utilizes latent Dirichlet allocation (LDA) and natural language processing (NLP) techniques. Through this model, utility-related legal clauses were categorized into six prominent topics. Topics such as dispute resolution and communication emerge as primary areas, encompassing a substantial number of clauses. By harnessing the LDA-based topic classification model, transportation departments can effectively identify prevailing topics and patterns in legal language used by other agencies. This advancement streamlines the process of formulating provisions concerning utility relocation, thereby enhancing the overall efficiency of highway projects.

Get full access to this article

View all available purchase options and get full access to this article.

Data Availability Statement

All data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This publication was made possible by South Carolina Department of Transportation (SPR #756). Its contents are solely the responsibility of the authors and do not necessarily represent the official views of SCDOT.

References

Works Cited

Annisa, R., and I. Surjandari. 2019. “Opinion mining on Mandalika hotel reviews using latent Dirichlet allocation.” Procedia Comput. Sci. 161 (Jan): 739–746. https://doi.org/10.1016/j.procs.2019.11.178.
Ashihara, K., C. B. El Vaigh, C. Chu, B. Renoust, N. Okubo, N. Takemura, Y. Nakashima, and H. Nagahara. 2020. “Improving topic modeling through homophily for legal documents.” Appl. Network Sci. 5 (1): 77. https://doi.org/10.1007/s41109-020-00321-y.
Blair, J. 2003. “Utility relocations on construction projects: A contractor’s perspective.” In Proc., 89th Annual Purdue Road School Conf. Washington, DC: National Academies of Sciences, Engineering, and Medicine.
Blei, D. 2012. “Probabilistic topic models.” Commun. ACM 55 (4): 77–84. https://doi.org/10.1145/2133806.2133826.
Blei, D., A. Ng, and M. Jordan. 2003. “Latent dirichlet allocation.” In Vol. 14 of Advances in neural information processing systems, edited by T. Dietterich, S. Becker, and Z. Ghahramani. Cambridge, MA: MIT Press.
Bueno, R., and M. Morgan. 2020. “Utility relocation success and challenges in a congested underground network.” In Proc., Pipelines 2020, 113–118. Reston, VA: ASCE. https://doi.org/10.1061/9780784483213.013.
Chou, C.-C., C. H. Caldas, and J. T. O’Connor. 2007. “Decision support system for combined transportation and utility construction strategy.” Transp. Res. Rec. 1994 (1): 9–16. https://doi.org/10.3141/1994-02.
Chou, C.-C., C. H. Caldas, J. T. O’Connor, A. W. Sroka, and G. K. Goldman. 2009. “Identification of decision drivers for the strategy of incorporating utility relocations into highway construction contracts.” J. Constr. Eng. Manage. 135 (9): 812–818. https://doi.org/10.1061/(ASCE)0733-9364(2009)135:9(812).
Chowdhary, K. R. 2020. “Natural language processing.” In Fundamentals of artificial intelligence, 603–649. New York: Springer. https://doi.org/10.1007/978-81-322-3972-7_19.
Coffin, G. J., J. Wang, and I. L. Howard. 2021. “Utility relocation concept plan for mitigation of utility relocation delays.” J. Pipeline Syst. Eng. Pract. 13 (1): 05021013. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000630.
Cook, T. 2017. “Buried pipeline utility relocation for light rail transit in Phoenix what is the best project delivery method?” In Proc., Pipelines 2017, 101–111. Reston, VA: ASCE. https://doi.org/10.1061/9780784480885.011.
DiMaggio, P., M. Nag, and D. Blei. 2013. “Exploiting affinities between topic modeling and the sociological perspective on culture: Application to newspaper coverage of US Government arts funding.” Poetics 41 (6): 570–606. https://doi.org/10.1016/j.poetic.2013.08.004.
Ellis, R. D., and S. Lee. 2005. “Developing best practices for avoiding utility relocation delays.” In Proc., Construction Research Congress 2005, 1–9. Reston, VA: ASCE. https://doi.org/10.1061/40754(183)100.
GDOT (Georgia DOT). 2016. “Utility accommodation policy and standards.” Accessed August 15, 2022. http://www.dot.ga.gov/PartnerSmart/utilities/Documents/2016_UAM.pdf.
GOA (Government Accountability Office). 1999. Transportation infrastructure: Impacts of utility relocations on highway and bridge projects. GAO/RCED-99-131. Washington, DC: United States General Accounting Office.
Goodrum, P., A. Smith, B. Slaughter, and F. Kari. 2008. “Case study and statistical analysis of utility conflicts on construction roadway projects and best practices in their avoidance.” J. Urban Plann. Dev. 134 (2): 63–70. https://doi.org/10.1061/(ASCE)0733-9488(2008)134:2(63).
Hagen, L., Ö. Uzuner, C. Kotfila, T. M. Harrison, and D. Lamanna. 2015. “Understanding citizens’ direct policy suggestions to the federal government: A natural language processing and topic modeling approach.” In Proc., 48th Hawaii Int. Conf. on System Sciences, 2134–2143. New York: IEEE. https://doi.org/10.1109/HICSS.2015.257.
Hasan, R., S. M. Suliman, and Y. A. Malki. 2014. “An investigation into the delays in road projects in Bahrain.” Int. J. Res. Eng. Sci. 2 (2): 38–47.
Hoffman, M., F. Bach, and D. Blei. 2010. “Online learning for latent dirichlet allocation.” In Vol. 23 of Advances in neural information processing systems, edited by J. Lafferty, C. Williams, J. Shawe-Taylor, R. Zemel, and A. Culotta. La Jolla, CA: Curran Associates.
Kathuria, D. S. 2017. “Development of unit cost database to estimate costs for utility relocation projects.” Accessed April 6, 2023. https://repositories.lib.utexas.edu/handle/2152/63551.
Lancichinetti, A., M. I. Sirer, J. X. Wang, D. Acuna, K. Körding, and L. A. N. Amaral. 2015. “High-reproducibility and high-accuracy method for automated topic classification.” Phys. Rev. X 5 (1): 011007. https://doi.org/10.1103/PhysRevX.5.011007.
Lee, P. P. 2001. Comparison of public and private water utility financial and management strategies. Cambridge, MA: Massachusetts Institute of Technology.
Li, P., Y. He, and Z. Li. 2022. “Study on influencing factors of construction workers’ unsafe behavior based on text mining.” Front. Psychol. 13 (Jan): 886390. https://doi.org/10.3389/fpsyg.2022.886390.
Li, S., H. Cai, and V. R. Kamat. 2016. “Integrating natural language processing and spatial reasoning for utility compliance checking.” J. Constr. Eng. Manage. 142 (12): 04016074. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001199.
Madsen, K. 2020. “ROW utilities manual.” Accessed April 10, 2023. http://onlinemanuals.txdot.gov/txdotmanuals/utl/utl.pdf.
Maier, D., et al. 2018. “Applying LDA topic modeling in communication research: Toward a valid and reliable methodology.” Commun. Methods Meas. 12 (2–3): 93–118. https://doi.org/10.1080/19312458.2018.1430754.
Marti, M. M., P. E. Kathryn, L. Knutson, and J. Corkle. 2002. Utility relocation: A communication and coordination process for local governments. St. Paul, MN: Minnesota Local Road Research Board.
McCallum, A., A. Corrada-Emmanuel, and X. Wang. 2005. “Topic and role discovery in social networks.” In Proc., Int. Joint Conf. on Artificial Intelligence, 786–791. Amherst, MA: Computer Science Department Faculty Publication Series.
Monri, H. 2015. “A survey of utility coordination practices in the Toronto area.” In Proc., Conf. of the Transportation Association of India. Bingley, UK: Emerald Publishing. https://doi.org/10.1108/BEPAM-09-2017-0075.
Nadkarni, P. M., L. Ohno-Machado, and W. W. Chapman. 2011. “Natural language processing: An introduction.” J. Am. Med. Inf. Assoc. 18 (5): 544–551. https://doi.org/10.1136/amiajnl-2011-000464.
Ney, J. 2001. “Utility project development issues.” In Proc., 2001 AASHTO/FHWA Right-of-Way and Utilities Conf. Washington, DC: AASHTO.
Pavlinek, M., and V. Podgorelec. 2017. “Text classification method based on self-training and LDA topic models.” Expert Syst. Appl. 80 (Jun): 83–93. https://doi.org/10.1016/j.eswa.2017.03.020.
Quiroga, C., E. Kraus, and J. Le. 2013. Strategic plan to optimize the management of right-of-way parcel and utility information at FDOT. Edited by T. A. T. Institute. Washington, DC: Repository & Open Science Access Portal.
Quiroga, C., E. Kraus, and J. Overman. 2011. “Strategies to address utility challenges in project development.” Transp. Res. Rec. 2262 (1): 227–235. https://doi.org/10.3141/2262-23.
Salama, D. M., and N. M. El-Gohary. 2013. “Semantic text classification for supporting automated compliance checking in construction.” J. Comput. Civ. Eng. 30 (1): 04014106. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000301.
Silveira, R., C. G. O. Fernandes, J. A. Monteiro Neto, V. Furtado, and J. E. P. Filho. 2021. “Topic modelling of legal documents via LEGAL-BERT.” In Vol. 2896 of Proc., CEUR Workshop Proc., 64–72. Amsterdam, Netherlands: Elsevier.
Suh, Y. 2021. “Sectoral patterns of accident process for occupational safety using narrative texts of OSHA database.” Saf. Sci. 142 (Jun): 105363. https://doi.org/10.1016/j.ssci.2021.105363.
Turner, D. S., J. V. Walters, J. M. Hutt, and J. E. Patrick. 1989. “Survey of state utility manual clear zone provisions.” Transp. Res. Rec. 1233: 164–177.
Vilventhan, A., and S. N. Kalidindi. 2016. “Interrelationships of factors causing delays in the relocation of utilities: A cognitive mapping approach.” Eng. Constr. Archit. Manage. 23 (3): 349–368. https://doi.org/10.1108/ECAM-10-2014-0127.
Vilventhan, A., S. Razin, and R. Rajadurai. 2021. “4D BIM models for smart utility relocation management in urban infrastructure projects.” Facilities 39 (1–2): 50–63. https://doi.org/10.1108/F-08-2019-0091.
Xu, H., Y. Liu, C.-M. Shu, M. Bai, M. Motalifu, Z. He, S. Wu, P. Zhou, and B. Li. 2022. “Cause analysis of hot work accidents based on text mining and deep learning.” J. Loss Prev. Process Ind. 76 (Aug): 104747. https://doi.org/10.1016/j.jlp.2022.104747.
Xu, X., H. Cai, and K. Chen. 2019. “Modeling 3D spatial constraints to support utility compliance checking.” In Proc., Computing in Civil Engineering 2019, 439–446. Reston, VA: ASCE. https://doi.org/10.1061/9780784482421.056.
Xu, X., K. Chen, and H. Cai. 2020. “Automating utility permitting within highway right-of-way via a generic UML/OCL model and natural language processing.” J. Constr. Eng. Manage. 146 (12): 04020135. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001936.
Zhong, B., X. Pan, P. E. D. Love, J. Sun, and C. Tao. 2020. “Hazard analysis: A deep learning and text mining framework for accident prevention.” Adv. Eng. Inf. 46 (Feb): 101152. https://doi.org/10.1016/j.aei.2020.101152.

Information & Authors

Information

Published In

Go to Journal of Legal Affairs and Dispute Resolution in Engineering and Construction
Journal of Legal Affairs and Dispute Resolution in Engineering and Construction
Volume 16Issue 2May 2024

History

Received: Sep 14, 2023
Accepted: Oct 3, 2023
Published online: Dec 20, 2023
Published in print: May 1, 2024
Discussion open until: May 20, 2024

Permissions

Request permissions for this article.

ASCE Technical Topics:

Authors

Affiliations

Ph.D. Student, Glenn Dept. of Civil Engineering, College of Engineering, Computing and Applied Sciences, Clemson Univ., 131 Lowry Hall, Clemson, SC 29634. ORCID: https://orcid.org/0000-0001-8185-1314. Email: [email protected]
Ph.D. Student, Glenn Dept. of Civil Engineering, College of Engineering, Computing and Applied Sciences, Clemson Univ., 131 Lowry Hall, Clemson, SC 29634. Email: [email protected]
Assistant Professor, Glenn Dept. of Civil Engineering, College of Engineering, Computing and Applied Sciences, Clemson Univ., 316 Lowry Hall, Clemson, SC 29634 (corresponding author). ORCID: https://orcid.org/0000-0002-8606-9214. Email: [email protected]
Kalyan Piratla, A.M.ASCE [email protected]
Professor of Civil Engineering, Liles Associate, Glenn Dept. of Civil Engineering, Clemson Univ., 310 Lowry Hall, Clemson, SC 29634. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share