Compensation Cost Estimation Model for Construction Noise Claims Using Case-Based Reasoning
Publication: Journal of Construction Engineering and Management
Volume 145, Issue 8
Abstract
Noise due to construction is recognized as a crucial source of harm to the surroundings of a site. A number of noise-related problems can cause significant risk to an ongoing project. As a first step toward coping with noise, this paper presents a model developed for estimating the noise-related compensation cost through case-based reasoning (CBR). An experiment was performed with 20 randomly selected test cases. The compensation costs were estimated based on damage days and excessive noise level of similar cases. A Monte Carlo simulation (MCS) was adopted to deal with limited and uncertain data. The results showed that the cases had a similarity of 91.8% on average, and the mean absolute error ratio (MAER) of the estimated cost based on data revised by MCS was approximately 11.8%. This indicates that the estimated and actual costs were similar, which validates the applicability of the model. This research contributes to the field of construction noise management by providing environmental managers with a systematic approach for estimating noise-related compensation during the preconstruction phase.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
Data generated or analyzed during the study are available from the corresponding author by request. Information about the Journal’s data-sharing policy can be found here: http://ascelibrary.org/doi/10.1061/(ASCE)CO.1943-7862.0001263.
Acknowledgments
This research was supported by the Ministry of Land, Infrastructure, and Transport of the Government of Korea under the Infrastructure and Transportation Technology Promotion Program (18RERP-B082884-05) and the National Research Foundation of Korea (NRF) grant funded by Korea Government (MSIT) (2017R1A2B2007050).
References
Aamodt, A., and E. Plaza. 1994. “Case-based reasoning: Foundational issues, methodological variations, and system approaches.” AI Commun. 7 (1): 39–59. https://doi.org/10.3233/AIC-1994-7104.
Ahn, J., S. H. Ji, M. Park, H. S. Lee, S. Kim, and S. W. Suh. 2014. “The attribute impact concept: Applications in case-based reasoning and parametric cost estimation.” Autom. Constr. 43 (Jul): 195–203. https://doi.org/10.1016/j.autcon.2014.03.011.
Ahn, J., M. Park, H. S. Lee, S. Ahn, S. H. Ji, K. Song, and B. S. Son. 2017. “Covariance effect analysis of similarity measurement methods for early construction cost estimation using case-based reasoning.” Autom. Constr. 81 (Sep): 254–266. https://doi.org/10.1016/j.autcon.2017.04.009.
Arditi, D., and O. B. Tokdemir. 1999. “Comparison of case-based reasoning and artificial neural networks.” J. Comput. Civ. Eng. 13 (3): 162–169. https://doi.org/10.1061/(ASCE)0887-3801(1999)13:3(162).
Asmar, M. E., A. S. Hanna, and C. K. Chang. 2009. “Monte Carlo simulation approach to support alliance team selection.” J. Constr. Eng. Manage. 135 (10): 1087–1095. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000074.
Bojórquez-Tapia, L. A., E. Ezcurra, and O. Garcıa. 1998. “Appraisal of environmental impacts and mitigation measures through mathematical matrices.” J. Environ. Manage. 53 (1): 91–99. https://doi.org/10.1006/jema.1998.0191.
Çelik, T., S. Kamali, and Y. Arayici. 2017. “Social cost in construction projects.” Environ. Impact Assess. Rev. 64 (May): 77–86. https://doi.org/10.1016/j.eiar.2017.03.001.
Chen, Z., H. Li, C. T. Wong, and P. E. Love. 2002. “Integrating construction pollution control with construction schedule: An experimental approach.” Environ. Manag. Health 13 (2): 142–151. https://doi.org/10.1108/09566160210424572.
Cheuk, F. N. 2000. “Effects of building construction noise on residents: A quasi-experiment.” J. Environ. Psychol. 20 (4): 375–385. https://doi.org/10.1006/jevp.2000.0177.
Christensen, P., and L. R. Dysert. 2011. Cost estimate classification system—As applied in engineering, procurement, and construction for the process industries. Morgantown, WV: AACE International.
Christini, G., M. Fetsko, and C. Hendrickson. 2004. “Environmental management systems and ISO 14001 certification for construction firms.” J. Constr. Eng. Manage. 130 (3): 330–336. https://doi.org/10.1061/(ASCE)0733-9364(2004)130:3(330).
De Salis, M., D. Oldham, and S. Sharples. 2002. “Noise control strategies for naturally ventilated buildings.” Build. Environ. 37 (5): 471–484. https://doi.org/10.1016/S0360-1323(01)00047-6.
Diekmann, J. E., and M. C. Nelson. 1985. “Construction claims: Frequency and severity.” J. Constr. Eng. Manage. 111 (1): 74–81. https://doi.org/10.1061/(ASCE)0733-9364(1985)111:1(74).
Doğan, S. Z., D. Arditi, and H. M. Günaydin. 2008. “Using decision trees for determining attribute weights in a case-based model of early cost prediction.” J. Constr. Eng. Manage. 134 (2): 146–152. https://doi.org/10.1061/(ASCE)0733-9364(2008)134:2(146).
Du, J., and J. Bormann. 2014. “Improved similarity measure in case-based reasoning with global sensitivity analysis: An example of construction quantity estimating.” J. Comput. Civ. Eng. 28 (6): 04014020. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000267.
Elliott, S. J., and P. A. Nelson. 1993. Active control of sound. New York: Academic Press.
Eom, C. S., and J. H. Paek. 2009. “Risk index model for minimizing environmental disputes in construction.” J. Constr. Eng. Manage. 135 (1): 34–41. https://doi.org/10.1061/(ASCE)0733-9364(2009)135:1(34).
Fernández, M. D., S. Quintana, N. Chavarría, and J. A. Ballesteros. 2009. “Noise exposure of workers of the construction sector.” J. Appl. Acoust. 70 (5): 753–760. https://doi.org/10.1016/j.apacoust.2008.07.014.
Gangolells, M., M. Casals, N. Forcada, A. Fuertes, and X. Roca. 2013. “Model for enhancing integrated identification, assessment, and operational control of on-site environmental impacts and health and safety risks in construction firms.” J. Constr. Eng. Manage. 139 (2): 138–147. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000579.
Gebken, R. J., and G. E. Gibson. 2006. “Quantification of costs for dispute resolution procedures in the construction industry.” J. Prof. Issues Eng. Educ. Pract. 132 (3): 264–271. https://doi.org/10.1061/(ASCE)1052-3928(2006)132:3(264).
Gilchrist, A., and E. N. Allouche. 2005. “Quantification of social costs associated with construction projects: State-of-the-art review.” Tunnelling Underground Space Technol. 20 (1): 89–104. https://doi.org/10.1016/j.tust.2004.04.003.
Gilchrist, A., E. N. Allouche, and D. Cowan. 2003. “Prediction and mitigation of construction noise in an urban environment.” Can. J. Civ. Eng. 30 (4): 659–672. https://doi.org/10.1139/l03-019.
Goh, Y. M., and D. Chua. 2009. “Case-based reasoning for construction hazard identification: Case representation and retrieval.” J. Constr. Eng. Manage. 135 (11): 1181–1189. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000093.
Hajdu, M. 2013. “Effects of the application of activity calendars on the distribution of project duration in PERT networks.” Autom. Constr. 35 (Nov): 397–404. https://doi.org/10.1016/j.autcon.2013.05.025.
Halliday, D., and R. Resnick. 2001. Physics. New York: Wiley.
Han, J., M. Kamber, and J. Pei. 2015. Data mining: Concept and techniques. Seoul: Acorn Publishing.
Hong, J. 2011. “A study on readjusting damage amount for the environmental arbitration-focused on mental damages caused by noise and vibration emanating from construction sites.” [In Korean.] Korean Environ. Law Assoc. 33 (1): 3–39.
Hong, T., C. Ji, J. Park, S. Leigh, and D. Seo. 2014. “Prediction of environmental costs of construction noise and vibration at the preconstruction phase.” J. Manage. Eng. 31 (5): 04014079. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000313.
Hopkins, C. 2007. Sound insulation. New York: Butterworth-Heinemann.
Jakovljevic, B., K. Paunovic, and G. Belojevic. 2009. “Road-traffic noise and factors influencing noise annoyance in an urban population.” Environ. Int. 35 (3): 552–556. https://doi.org/10.1016/j.envint.2008.10.001.
Kaya, T., and C. Kahraman. 2010. “Multi-criteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul.” Energy 35 (6): 2517–2527. https://doi.org/10.1016/j.energy.2010.02.051.
Kim, S. 2017. “Dual-optimization method for improving accuracy of GA-CBR cost estimation model.” Ph.D. dissertation, Dept. of Architecture and Architectural Engineering, Seoul National Univ.
Kumaraswamy, M. M. 1998. “Consequences of construction conflict: A Hong Kong perspective.” J. Manage. Eng. 14 (3): 66–74. https://doi.org/10.1061/(ASCE)0742-597X(1998)14:3(66).
Kwon, N., M. Park, H. S. Lee, J. Ahn, and S. Kim. 2017. “Construction noise prediction model based on case-based reasoning in the preconstruction phase.” J. Constr. Eng. Manage. 143 (6): 04017008. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001291.
Kwon, N., M. Park, H. S. Lee, J. Ahn, and M. Shin. 2016. “Construction noise management using active noise control techniques.” J. Constr. Eng. Manage. 142 (7): 04016014. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001121.
Kwon, N., K. Song, H. S. Lee, J. Kim, and M. Park. 2018. “Construction noise risk assessment model focusing on construction equipment.” J. Constr. Eng. Manage. 144 (6): 04018034. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001480.
Lee, H. S., H. Kim, M. Park, E. A. L. Teo, and K. P. Lee. 2012. “Construction risk assessment using site influence factors.” J. Comput. Civ. Eng. 26 (3): 319–330. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000146.
Lee, H. S., S. Kim, M. Park, S. H. Ji, K. Seong, and J. H. Pyeon. 2011. “A method of assigning weight values for qualitative attributes in CBR cost model.” [In Korean.] Korean. J. Constr. Eng. Manage. 12 (1): 53–61.
Matthews, J. C., E. N. Allouche, and R. L. Sterling. 2015. “Social cost impact assessment of pipeline infrastructure projects.” Environ. Impact Assess. Rev. 50 (Jan): 196–202. https://doi.org/10.1016/j.eiar.2014.10.001.
MOE (Ministry of Environment). 2006. Guidance of noise and vibration control under construction. Sejong City, South Korea: MOE.
MOE (Ministry of Environment). 2007. A study on the evaluation method of environmental damage and rational adjustment of compensation standard. Sejong City, South Korea: MOE.
MOE (Ministry of Environment). 2016. Noise and vibration control act. Act No. 13805. Sejong City, South Korea: MOE.
Morcous, G., H. Rivard, and A. Hanna. 2002. “Case-based reasoning system for modeling infrastructure deterioration.” J. Comput. Civ. Eng. 16 (2): 104–114. https://doi.org/10.1061/(ASCE)0887-3801(2002)16:2(104).
NECRC (National Environmental Conflict Resolution Commission in Korea. 2017. Environmental dispute mediation status report. Seoul: NECRC.
NECRC (National Environmental Conflict Resolution Commission in Korea). 2016. Press release on the raising compensation cost for psychological damage caused by construction noise. Seoul: NECRC.
Neitzel, R., N. S. Seixas, J. Camp, and M. Yost. 1999. “An assessment of occupational noise exposures in four construction trades.” J. Am. Ind. Hyg. Assoc. 60 (6): 807–817. https://doi.org/10.1080/00028899908984506.
Ozorhon, B., I. Dikmen, and M. Birgonul. 2006. “Case-based reasoning model for international market selection.” J. Constr. Eng. Manage. 132 (9): 940–948. https://doi.org/10.1061/(ASCE)0733-9364(2006)132:9(940).
Pal, S. K., and S. C. Shiu. 2004. Foundations of soft case-based reasoning. New York: Wiley.
Pan, N. 2008. “Fuzzy AHP approach for selecting the suitable bridge construction method.” Autom. Constr. 17 (8): 958–965. https://doi.org/10.1016/j.autcon.2008.03.005.
Pawan, P., and P. Lorterapong. 2016. “A fuzzy-based integrated framework for assessing time contingency in construction projects.” J. Constr. Eng. Manage. 142 (3): 04015083. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001073.
Rogerson, P. 2001. Statistical methods for geography. London: SAGE Publications.
Sailer, U., and M. Hassenzahl. 2010. “Assessing noise annoyance: An improvement-oriented approach.” Ergonomics 43 (11): 1920–1938. https://doi.org/10.1080/00140130050174545.
Salling, K. B. 2007. Risk analysis and Monte Carlo simulation within transport appraisal. Lyngby, Denmark: Univ. of Denmark.
Stipanowich, T. J. 2004. “ADR and the ‘Vanishing Trial’: The growth and impact of alternative dispute resolution.” J. Empirical Legal Res. 1 (3): 843–912. https://doi.org/10.1111/j.1740-1461.2004.00025.x.
Vu, D. H., K. M. Muttaqi, and A. P. Agalgaonkar. 2015. “A variance inflation factor and backward elimination based robust regression model for forecasting monthly electricity demand using climatic variables.” Appl. Energy 140 (Feb): 385–394. https://doi.org/10.1016/j.apenergy.2014.12.011.
Watson, I. 1997. Applying case-based reasoning: Techniques for enterprise system. San Francisco: Morgan Kaufmann.
Watson, I., and F. Marir. 1994. “Case-based reasoning: A review.” Knowl. Eng. Rev. 9 (4): 327–354. https://doi.org/10.1017/S0269888900007098.
Xueqing, W., L. Bingsheng, E. Allouche, and L. Xiaoyan. 2008. “A practical bid evaluation method considering social costs in urban infrastructure projects.” In Proc., 2008 4th IEEE Int. Conf. on Management of Innovation and Technology, 617–622. New York: IEEE.
Yang, I. T. 2008. “Distribution-free Monte Carlo simulation: Premise and refinement.” J. Constr. Eng. Manage. 134 (5): 352–360. https://doi.org/10.1061/(ASCE)0733-9364(2008)134:5(352).
Information & Authors
Information
Published In
Journal of Construction Engineering and Management
Volume 145 • Issue 8 • August 2019
Copyright
©2019 American Society of Civil Engineers.
History
Received: Aug 22, 2018
Accepted: Jan 3, 2019
Published online: Jun 14, 2019
Published in print: Aug 1, 2019
Discussion open until: Nov 14, 2019
Authors
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.