Machine learning models for predicting the residual value of heavy construction equipment: An evaluation of modified decision tree, LightGBM, and XGBoost regression

Aggarwal, 2015

Alibaba

Ashari, 2013, Performance comparison between Naïve Bayes, Decision Tree and k-Nearest Neighbor in searching alternative design in an energy simulation tool, Int. J. Adv. Comput. Sci. Appl., 4, 33

Bates, 1979, Inflation and farm tractor replacement in the U.S.: a simulation model, Am. J. Agric. Econ., 61, 331, 10.2307/1239740

Bertoni, 2017, 021

Research

Chen, 2016

Chi, 2012, Development of a data mining-based analysis framework for multi-attribute construction project information, Adv. Eng. Inform., 26, 574, 10.1016/j.aei.2012.03.005

Cross, 1996, Remaining value functions for farm equipment, Appl. Eng. Agric., 12, 547, 10.13031/2013.25682

Cubbage, 1991, Cross-sectional estimates of logging equipment resale values, For. Prod. J. (USA)., 41, 16

Donald, 1983, On optimal replacement of farm tractors, Am. J. Agric. Econ., 65, 326, 10.2307/1240883

Equipment Trader

Fan, 2012, 192

Fan, 2008, Assessing residual value of heavy construction equipment using predictive data mining model, J. Comput. Civ. Eng., 22, 181, 10.1061/(ASCE)0887-3801(2008)22:3(181)

Friedman, 2001, Greedy function approximation: a gradient boosting machine, Ann. Stat., 1189

Gross Domestic Product

Gunnar, 2007, Unknown element of owning costs- impact of residual value, J. Constr. Eng. Manag., 133, 3, 10.1061/(ASCE)0733-9364(2007)133:1(3)

Japkowicz, 2011

Kannan, 2011, Field studies in construction equipment economics and productivity, J. Constr. Eng. Manag., 137, 823, 10.1061/(ASCE)CO.1943-7862.0000335

Ke, 2017, 3146

Kleiner, 2017

Liu, 2020, Dynamic, data-driven decision-support approach for construction equipment acquisition and disposal, J. Comput. Civ. Eng., 34, 10.1061/(ASCE)CP.1943-5487.0000871

Lucko, 2011, Modeling the residual market value of construction equipment under changed economic conditions, J. Constr. Eng. Manag., 137, 806, 10.1061/(ASCE)CO.1943-7862.0000279

Lucko, 2003

Lucko, 2006, Statistical considerations for predicting residual value of heavy equipment, J. Constr. Eng. Manag., 132, 723, 10.1061/(ASCE)0733-9364(2006)132:7(723)

Lucko, 2010, Quantitative Research: preparation of incongruous economic data sets for archival data analysis, J. Constr. Eng. Manag., 136, 49, 10.1061/(ASCE)CO.1943-7862.0000078

Machinery Trader

Machinery Zone

Mascus

Iron Planet

Pudaruth, 2014, Predicting the price of used cars using machine learning techniques, Int. J. Inf. Commun. Technol., 4, 753

Quinto, 2020

Reid, 1983, On optimal replacement of farm tractors, Am. J. Agric. Econ., 65, 326, 10.2307/1240883

Residual Value

Rudolph, 1998, Vol. 4, 32

Seger

Srinivasa, 2012, Spatial price analysis of used construction equipment: the case of excavators, Constr. Manag. Econ., 30, 981, 10.1080/01446193.2012.723129

Timothy, 1995, Depreciation patterns for agricultural machinery, Am. J. Agric. Econ., 77, 194, 10.2307/1243901

United State Census Bureau

Wang, 2020, Efficient reliability analysis of earth dam slope stability using extreme gradient boosting method, Acta Geotech., 15, 3135, 10.1007/s11440-020-00962-4

Whittaker, 1987, Equipment rates from revenue requirements, J. Constr. Eng. Manag., 113, 173, 10.1061/(ASCE)0733-9364(1987)113:2(173)

Zhang, 2021, Estimation of diaphragm wall deflections for deep braced excavation in anisotropic clays using ensemble learning, Geosci. Front., 12, 365, 10.1016/j.gsf.2020.03.003

Zhang, 2021, Application of deep learning algorithms in geotechnical engineering: a short critical review, Artif. Intell. Rev., 10.1007/s10462-021-09967-1

Zhang, 2020, State-of-the-art review of soft computing applications in underground excavations, Geosci. Front., 11, 1095, 10.1016/j.gsf.2019.12.003

Zhang, 2020, Assessment of basal heave stability for braced excavations in anisotropic clay using extreme gradient boosting and random forest regression, Undergr. Space

Zhang, 2020, Soft computing approach for prediction of surface settlement induced by earth pressure balance shield tunneling, Undergr. Space

Zhong, 2020, Depreciation, building age, and market price statistics for reference in urban redevelopment option pricing, J. Urban Plan. Dev., 146, 10.1061/(ASCE)UP.1943-5444.0000546

Zong, 2017