Items with Index Term: prediction model

Abdallah, A M (2021) A study on bridge inspections: Identifying barriers to new practices and providing strategies for change. PhD thesis, Colorado State University, USA.

Abu Dabous, S; Alzghoul, A and Ibrahim, F (2025) Intelligent condition prediction model for bridge infrastructure based on evaluating machine learning algorithms. Smart and Sustainable Built Environment, 14(2), pp. 557-576. ISSN 2046-6099

Abu-Mahfouz, E; Al-Dahidi, S; Gharaibeh, E and Alahmer, A (2025) A novel feature engineering-based hybrid approach for precise construction cost estimation using fuzzy-AHP and artificial neural networks. International Journal of Construction Management, 25(15), pp. 1800-1810. ISSN 1562-3599

Adul-Hamid, R (1996) Construction duration prediction using neural network methodology. PhD thesis, University of Manchester, UK.

Agdas, D (2008) Corporate-level management system for critical strategic resources for large construction program managers. PhD thesis, University of Florida, USA.

Aghajamali, K; Rahimi, A; Metvaei, S; Lei, Z; Chen, Q; Suliman, A and Pirzad, A (2026) Production planning with an enriched BIM-based heuristic construction order model to improve the efficiency of complex prefabricated projects. Journal of Construction Engineering and Management, 152(6): 04026057, ISSN 0733-9364

Akbari, S; Khanzadi, M and Gholamian, M R (2018) Building a rough sets-based prediction model for classifying large-scale construction projects based on sustainable success index. Engineering, Construction and Architectural Management, 25(4), pp. 534-558. ISSN 0969-9988

Akbari, S; Pour Rahimian, F; Sheikhkhoshkar, M; Banihashemi, S and Khanzadi, M (2020) Dynamic sustainable success prediction model for infrastructure projects: a rough set based fuzzy inference system. Construction Innovation, 20(4), pp. 545-567. ISSN 1471-4175

Al-Amin, Md (2023) Pavement maintenance and rehabilitation programming and budget allocation from strategic perspectives: Multiobjective optimization models. PhD thesis, University of Texas at Austin, USA.

Al-Smadi, H; Al-Sakkaf, A; Zayed, T and Nasiri, F (2023) An integrated space-based building maintenance management model using multi-objective optimization. Smart and Sustainable Built Environment, 12(2), pp. 277-297. ISSN 2046-6099

Al-Sobiei, O S; Arditi, D and Polat, G (2005) Predicting the risk of contractor default in Saudi Arabia utilizing artificial neural network (ANN) and genetic algorithm (GA) techniques. Construction Management and Economics, 23(4), pp. 423-430. ISSN 01446193

Al-Suleiman, T I and Alatoom, Y I (2024) Development of pavement roughness regression models based on smartphone measurements. Journal of Engineering, Design and Technology, 22(4), pp. 1136-1157. ISSN 1726-0531

Alaka, H; Oyedele, L; Toriola-Coker, O; Owolabi, H; Akinade, O; Bilal, M and Ajayi, S (2015) Methodological approach of construction businesses failure prediction studies: A review. In: Raiden, A and Aboagye-Nimo, E (eds.) Proceedings of 31st Annual ARCOM Conference, 7-9 September 2015, Lincoln, UK.

Alaka, H A (2017) 'Big data analytics' for construction firms insolvency prediction models. PhD thesis, University of the West of England, Bristol, UK.

Alaka, H A; Oyedele, L O; Owolabi, H A; Ajayi, S O; Bilal, M and Akinade, O O (2016) Methodological approach of construction business failure prediction studies: A review. Construction Management and Economics, 34(11), pp. 808-842. ISSN 01446193

Alaka, H A; Oyedele, L O; Owolabi, H A; Oyedele, A A; Akinade, O O; Bilal, M and Ajayi, S O (2017) Critical factors for insolvency prediction: Towards a theoretical model for the construction industry. International Journal of Construction Management, 17(1), pp. 25-49. ISSN 1562-3599

Aleithawe, I (2010) Acquisition of right of way for highway construction. PhD thesis, Mississippi State University, USA.

Aleithawe, I; Sinno, R R and McAnally, W H (2012) Right-of-way acquisition duration prediction model for highway construction projects. Journal of Construction Engineering and Management, 138(4), pp. 540-544. ISSN 0733-9364

Alemu, S K (2022) Construction time prediction model for public building projects. Engineering, Construction and Architectural Management, 29(5), pp. 2183-2206. ISSN 0969-9988

Alharbi, E A and Alsehaimi, A (2025) Machine learning model to predict the cooling load of mosque buildings during the design stage. International Journal of Construction Management, 25(8), pp. 965-979. ISSN 1562-3599

Ali, A S and Au-Yong, C P (2022) Risk factors in the refurbishment design process: The case of Malaysia. International Journal of Building Pathology and Adaptation, 40(4), pp. 622-635. ISSN 23984708

Alikhani, H; Le, C; Jeong, H D and Damnjanovic, I (2023) Sequential machine learning for activity sequence prediction from daily work report data. Journal of Construction Engineering and Management, 149(9): 04023082, ISSN 0733-9364

Alqershy, M T and Kishore, R (2023) Construction claims prediction using ann models: A case study of the Indian construction industry. International Journal of Construction Management, 23(6), pp. 1097-1108. ISSN 1562-3599

Awad, A and Fayek, A R (2013) Adaptive learning of contractor default prediction model for surety bonding. Journal of Construction Engineering and Management, 139(6), pp. 694-704. ISSN 0733-9364

Awad, A L S (2012) Intelligent contractor default prediction model for surety bonding in the construction industry. PhD thesis, University of Alberta, Canada.

Ayhan, M (2019) Development of dispute prediction and resolution method selection models for construction disputes. PhD thesis, Middle East Technical University, Turkey.

Babazadeh, N; Teizer, J; Bargstädt, H J and Melzner, J (2025) Predictive simulation of construction site noise emissions from heavy equipment. Smart and Sustainable Built Environment, 14(3), pp. 715-739. ISSN 2046-6099

Bai, S; Li, M; Lu, Q; Tian, H and Qin, L (2022) Global time optimization method for dredging construction cycles of trailing suction hopper dredger based on grey system model. Journal of Construction Engineering and Management, 148(2): 04021198, ISSN 0733-9364

Bentil, K K (1990) A model approach for predicting commercial construction site accidents. PhD thesis, University of Florida, USA.

Bi, L; Ren, B; Zhong, D and Hu, L (2015) Real-time construction schedule analysis of long-distance diversion tunnels based on lithological predictions using a markov process. Journal of Construction Engineering and Management, 141(2): 04014076, ISSN 0733-9364

Blyth, K A (2002) A computer model that forecasts the cash flow of building projects at the tender stage using stage payments. PhD thesis, University of Liverpool, UK.

Bortey, L; Edwards, D J; Roberts, C and Rillie, I (2025) Unravelling incipient accidents: A machine learning prediction of incident risks in highway operations. Smart and Sustainable Built Environment, 14(6), pp. 1991-2022. ISSN 2046-6099

Catalina, A J (2016) Development of a statistical theory-based capital cost estimating methodology for light rail transit corridor evaluation under varying alignment characteristics. PhD thesis, University of Kentucky, USA.

Chan, D W M (1998) Modelling construction durations for public housing projects. PhD thesis, University of Hong Kong, Hong Kong.

Charkhakan, M H and Heravi, G (2023) Quantifying the predictability and preventability of conflicts between construction project parties. Engineering, Construction and Architectural Management, 30(5), pp. 1932-1950. ISSN 0969-9988

Chen, H; Feng, Z; Liu, Y; Chen, B; Deng, T; Qin, Y and Xu, W (2023) Multiobjective optimization of a 3D laser scanning scheme for engineering structures based on rf-NSGA-II. Journal of Construction Engineering and Management, 149(2): 4022169, ISSN 0733-9364

Chen, J-H (2003) Litigation prediction model for construction disputes caused by change orders. PhD thesis, University of Wisconsin - Madison, USA.

Chen, N; Zhang, Z and Chen, A (2025) Comprehensive evaluation of classification: an empirical study on consequence prediction of construction accidents in China. Construction Innovation, 25(4), pp. 1210-1230. ISSN 1471-4175

Chen, X; Zhang, Y; Zhao, B and Yang, S (2021) Investment probabilistic interval estimation for construction project using the hybrid model of SVR and GWO. Journal of Construction Engineering and Management, 147(5): 04021031, ISSN 0733-9364

Cheng, M. Y. and Vu, Q. T. (2026) Bidirectional revolving gate Fourier transform: A newly spectrum deep machine learning for enhancing construction worker safety classification. Engineering, Construction and Architectural Management, pp. 1-28. ISSN 0969-9988

Cheng, M. Y. and Vu, Q. T. (2026) Bidirectional revolving gate Fourier transform: A newly spectrum deep machine learning for enhancing construction worker safety classification. Engineering, Construction and Architectural Management, pp. 1-28. ISSN 0969-9988

Cheng, M Y; Chang, Y H and Korir, D (2019) Novel approach to estimating schedule to completion in construction projects using sequence and nonsequence learning. Journal of Construction Engineering and Management, 145(11): 04019072, ISSN 0733-9364

Cheng, Y M; Yu, C H and Wang, H T (2011) Short-interval dynamic forecasting for actual S-curve in the construction phase. Journal of Construction Engineering and Management, 137(11), pp. 933-941. ISSN 0733-9364

Cheung, S; Wong, P S P; Fung, A Y S and Coffey, W V (2008) Examining the use of bid information in predicting the contractor's performance. Journal of Financial Management of Property and Construction, 13(2), pp. 111-122. ISSN 1366-4387

Chew, M Y L and Tan, S S (2004) A multivariate approach to maintenance prediction of wet areas. Construction Management and Economics, 22(4), pp. 395-407. ISSN 01446193

Choi, S; Kim, D Y; Han, S H and Kwak, Y H (2014) Conceptual cost-prediction model for public road planning via rough set theory and case-based reasoning. Journal of Construction Engineering and Management, 140(1): 04013026, ISSN 0733-9364

Choudhury, I (2009) The effect of political unrest on construction time for food grain warehouses in Bangladesh. Construction Management and Economics, 27(7), pp. 619-624. ISSN 1466433X

Cirilovic, J; Vajdic, N; Mladenovic, G and Queiroz, C (2014) Developing cost estimation models for road rehabilitation and reconstruction: Case study of projects in Europe and Central Asia. Journal of Construction Engineering and Management, 140(3): 4013065, ISSN 0733-9364

Daniel, C and Neufville, E K (2025) An autogluon-enabled robust machine learning model for concrete tensile and compressive strength forecast. International Journal of Construction Management, 25(13), pp. 1636-1647. ISSN 1562-3599

Delaney, F T (2003) Effectiveness of mergers and acquisitions and corporate financial performance in construction. PhD thesis, Edinburgh Napier University, UK.

Dikmen, I; Birgonul, M T and Kiziltas, S (2005) Prediction of organizational effectiveness in construction companies. Journal of Construction Engineering and Management, 131(2), pp. 252-261. ISSN 0733-9364

Doğan, S Z (2005) Using machine learning techniques for early cost prediction of structural systems of buildings. PhD thesis, Izmir Institute of Technology, Turkey.

Doǧan, S Z; Arditi, D and Murat Günaydin, H (2006) Determining attribute weights in a CBR model for early cost prediction of structural systems. Journal of Construction Engineering and Management, 132(10), pp. 1092-1098. ISSN 0733-9364

Doǧan, S Z; Arditi, D and Murat Günaydin, H (2008) Using decision trees for determining attribute weights in a case-based model of early cost prediction. Journal of Construction Engineering and Management, 134(2), pp. 146-152. ISSN 0733-9364

Du, J J; Zhou, J; Liu, C and Picken, D (2006) Exploring turnover intention of construction managers in China. Journal of Construction Research, 7(1), pp. 191-205. ISSN 1609-9451

El-Abbasy, M S; Senouci, A; Zayed, T; Mirahadi, F and Parvizsedghy, L (2014) Condition prediction models for oil and gas pipelines using regression analysis. Journal of Construction Engineering and Management, 140(6): 4014013, ISSN 0733-9364

El-Kholy, A M and Akal, A Y (2021) Determining the stationary financial cause of contracting firms failure. International Journal of Construction Management, 21(8), pp. 818-833. ISSN 1562-3599

Ellis Jr., R D (1989) Model for prediction of highway construction production rates. PhD thesis, University of Florida, USA.

Elsayegh, A (2021) Collaborative planning in the construction industry: A holistic framework for assessing collaborative planning practices and predicting project performance. PhD thesis, Missouri University of Science and Technology, USA.

Elshaboury, N; Zayed, T and Mohammed Abdelkader, E (2025) A hybrid spherical fuzzy AHP-marcos model for evaluating the condition of saltwater pipes in Hong Kong. Engineering, Construction and Architectural Management, 32(5), pp. 3285-3325. ISSN 0969-9988

Erişen, S (2021) Incremental transformation of spatial intelligence from smart systems to sensorial infrastructures. Building Research & Information, 49(1), pp. 113-126. ISSN 0961-3218

Farooq, M. and Paracha, A. T. (2026) Cost prediction of road construction projects in Pakistan using machine learning. International Journal of Construction Management, 26(8), pp. 1442-1470. ISSN 1562-3599

Fathy, A E A E R; Abdel-Hamid, M and Abdelhaleem, H M (2025) Developing a predictive maintenance model for the rehabilitation of roads' assets. International Journal of Construction Management, 25(4), pp. 398-408. ISSN 1562-3599

Forcada, N; Gangolells, M; Casals, M and Macarulla, M (2017) Factors affecting rework costs in construction. Journal of Construction Engineering and Management, 143(8): 04017032, ISSN 0733-9364

Francis, A and Thomas, A (2022) A machine learning-based life cycle assessment prediction model for the environmental impacts of buildings. In: Tutesigensi, A and Neilson, C J (eds.) Proceedings of 38th Annual ARCOM Conference, 5-7 September 2022, Glasgow Caledonian University, Glasgow, UK.

Ginigaddara, B; Perera, S; Feng, Y; Rahnamayiezekavat, P and Thomson, R (2023) Development of offsite construction skill profile prediction models using mixed-effect regression analysis. Construction Management and Economics, 41(10), pp. 820-839. ISSN 01446193

Ginigaddara, Buddhini (2022) Developing a skill profile prediction model for typologies of offsite construction. PhD thesis, Western Sydney University, Australia.

Goto, Y (2012) Sustainable wooden building concept for central Japan. DSc thesis, ETH Zürich, Switzerland.

Greenwood, D J and Shaglouf, A A (1997) Comparison between planned and actual durations in medium sized building projects. In: Stephenson, P (ed.) Proceedings of 13th Annual ARCOM Conference, 15-17 September 1997, Cambridge, UK.

Gurmu, A T and Ongkowijoyo, C S (2020) Predicting construction labor productivity based on implementation levels of human resource management practices. Journal of Construction Engineering and Management, 146(3): 04019115, ISSN 0733-9364

Hajji, A M (2013) Development of a productivity-based economic, energy, environmental model for heavy duty diesel construction equipment. PhD thesis, Oklahoma State University, USA.

Hamayat, F.; Ahmad, R. F.; Ghaban, W.; Saeed, F.; Ahmad, J.; Anwar, S. M. and Zubair, S. (2026) Data-driven stnet and stprophet models for secure edge-based indoor air temperature prediction in smart buildings. Building Research & Information, 54(4), pp. 492-509. ISSN 0961-3218

Hamida, A; Alsudairi, A; Alshaibani, K and Alshamrani, O (2021) Environmental impacts cost assessment model of residential building using an artificial neural network. Engineering, Construction and Architectural Management, 28(10), pp. 3190-3215. ISSN 0969-9988

Hamoda, M F (2008) Modeling of construction noise for environmental impact assessment. Journal of Construction in Developing Countries, 13(1), pp. 79-89. ISSN 1823-6499

Han, S H; Kim, D Y and Kim, H (2007) Predicting profit performance for selecting candidate international construction projects. Journal of Construction Engineering and Management, 133(6), pp. 425-436. ISSN 0733-9364

Hollar, D A (2011) Predicting preliminary engineering costs for highway projects. PhD thesis, North Carolina State University, USA.

Holumyong, C (2007) The differential impact of unemployment and the receipt of unemployment benefits between native and foreign born workers in the United States construction industry. PhD thesis, University of Utah, USA.

Hosseini, A (2019) Data-driven modeling of in-service performance of flexible pavements, using life-cycle information. PhD thesis, Temple University, USA.

Hsiao, W T; Yu, W D and Shih, C C (2026) Proactive construction hazard prevention model using machine learning. Journal of Construction Engineering and Management, 152(2): 04025261, ISSN 0733-9364

Ioannou, P G (1987) Geologic prediction model for tunneling. Journal of Construction Engineering and Management, 113(4), pp. 569-590. ISSN 0733-9364

Ioannou, P G (1989) Evaluation of subsurface exploration programs. Journal of Construction Engineering and Management, 115(3), pp. 339-356. ISSN 0733-9364

Iroroakpo, G I (2007) A comparative study of direct labour and design-tender-construct procurement systems in Nigeria. PhD thesis, University of Lagos, Nigeria.

Isied, M M (2023) Critical assessment of asphalt mixture design procedures and asphalt mixture classification systems. PhD thesis, North Carolina State University, USA.

Jafari, A and Akhavian, R (2019) Driving forces for the US residential housing price: A predictive analysis. Built Environment Project and Asset Management, 9(4), pp. 515-529. ISSN 2044-124X

Jagafa, K (2016) A framework for construction business recovery in small and medium sized privately owned companies. PhD thesis, University of Salford, UK.

Jang, Y; Jeong, I and Cho, Y K (2021) Identifying impact of variables in deep learning models on bankruptcy prediction of construction contractors. Engineering, Construction and Architectural Management, 28(10), pp. 3282-3298. ISSN 0969-9988

Jang, Y; Jeong, I B; Cho, Y K and Ahn, Y (2019) Predicting business failure of construction contractors using long short-term memory recurrent neural network. Journal of Construction Engineering and Management, 145(11): 04019067, ISSN 0733-9364

Jeong, J and Jeong, J (2024) Sustainability in prefabricated construction: Enhancing multicriteria analysis and prediction using machine learning. Journal of Construction Engineering and Management, 150(8): 04024081, ISSN 0733-9364

Jha, K N and Chockalingam, C T (2011) Prediction of schedule performance of Indian construction projects using an artificial neural network. Construction Management and Economics, 29(9), pp. 901-911. ISSN 1466433X

Jiang, H; Xu, Y and Liu, C (2013) Construction price prediction using vector error correction models. Journal of Construction Engineering and Management, 139(11): 4013022, ISSN 0733-9364

Jiang, L; Zhao, T; Feng, C and Zhang, W (2023) Improvement of random forest by multiple imputation applied to tower crane accident prediction with missing data. Engineering, Construction and Architectural Management, 30(3), pp. 1222-1242. ISSN 0969-9988

Jones, P; Lannon, S and Patterson, J (2013) Retrofitting existing housing: How far, how much? Building Research & Information, 41(5), pp. 532-550. ISSN 0961-3218

Kamal, P and Ahuja, S (2019) An ensemble-based model for prediction of academic performance of students in undergrad professional course. Journal of Engineering, Design and Technology, 17(4), pp. 769-781. ISSN 1726-0531

Karami, S (2008) Using by-product industrial materials to replace all cement in construction products. PhD thesis, Coventry University, UK.

Karatas, I and Budak, A (2024) Development and comparative of a new meta-ensemble machine learning model in predicting construction labor productivity. Engineering, Construction and Architectural Management, 31(3), pp. 1123-1144. ISSN 0969-9988

Karki, S and Hadikusumo, B (2023) Machine learning for the identification of competent project managers for construction projects in Nepal. Construction Innovation, 23(1), pp. 1-18. ISSN 1471-4175

Kere, K J (2023) Probabilistic model development and risk management strategies for pipelines with anomalies. PhD thesis, Marquette University, USA.

Kereri, J O (2020) The effects of relational and social behaviors exhibited by construction project team members on relationship quality and project outcomes. PhD thesis, Louisiana State University and Agricultural & Mechanical College, USA.

Kim, B S and Hong, T (2012) Revised case-based reasoning model development based on multiple regression analysis for railroad bridge construction. Journal of Construction Engineering and Management, 138(1), pp. 154-162. ISSN 0733-9364

Kim, J M; Yum, S G; Adhikari, M D and Bae, J (2024) A LSTM algorithm-driven deep learning approach to estimating repair and maintenance costs of apartment buildings. Engineering, Construction and Architectural Management, 31(13), pp. 369-389. ISSN 0969-9988

Ko, C H and Cheng, M Y (2007) Dynamic prediction of project success using artificial intelligence. Journal of Construction Engineering and Management, 133(4), pp. 316-324. ISSN 0733-9364

Koksal, A (2002) Predicting the development of decline in construction companies. PhD thesis, Illinois Institute of Technology, USA.

Kumaraswamy, M M and Chan, D W M (1998) Contributors to construction delays. Construction Management and Economics, 16(1), pp. 17-29. ISSN 01446193

Kwon, N; Park, M; Lee, H S; Ahn, J and Kim, S (2017) Construction noise prediction model based on case-based reasoning in the preconstruction phase. Journal of Construction Engineering and Management, 143(6): 04017008, ISSN 0733-9364

Laing, Xiaoyun (2025) Communicate, understand, and collaborate: An AI-integrated human-robot collaboration approach to improve safety and productivity in construction. PhD thesis, The University of Texas at San Antonio, USA.

Lawal, H S; Ahmadu, H A; Abdullahi, M; Yamusa, M A and Abdulrazaq, M (2023) Modeling duration of building renovation projects. Journal of Financial Management of Property and Construction, 28(3), pp. 423-438. ISSN 1366-4387

Lee, C Y-H (2010) A probabilistic approach to the life-cycle cost assessment of preventive maintenance strategies on flexible pavements. PhD thesis, University of California, Davis, USA.

Lee, J; Blumenstein, M; Guan, H and Loo, Y C (2013) Minimising uncertainty in long-term prediction of bridge element. Engineering, Construction and Architectural Management, 20(2), pp. 127-142. ISSN 0969-9988

Lee, Jaeho (2007) A methodology for developing bridge condition rating models based on limited inspection records. PhD thesis, Griffith University, Australia.

Lee, W; Lin, K Y; Johnson, P W and Seto, E Y W (2022) Selection of wearable sensor measurements for monitoring and managing entry-level construction worker fatigue: A logistic regression approach. Engineering, Construction and Architectural Management, 29(8), pp. 2905-2923. ISSN 0969-9988

Leung, A W T and Tam, C M (1999) Models for assessing hoisting times of tower cranes. Journal of Construction Engineering and Management, 125(6), pp. 385-391. ISSN 0733-9364

Love, N E (2009) Leading indicators of failure: a study of SMEs in the construction sector in Wales and Scotland. PhD thesis, University of the West of England, Bristol, UK.

Lovencin, W (2006) Assessment of design and properties for flowable fill usage in highway pavement construction for conditions in Florida. PhD thesis, University of Florida, USA.

Mahdavian, A; Shojaei, A; Salem, M; Yuan, J S and Oloufa, A A (2021) Data-driven predictive modeling of highway construction cost items. Journal of Construction Engineering and Management, 147(3): 04020180, ISSN 0733-9364

Mahfouz, T S (2009) Construction legal support for differing site conditions (DSC) through statistical modeling and machine learning (ML). PhD thesis, Iowa State University, USA.

Mater, Y; Kamel, M; Karam, A and Bakhoum, E (2023) Ann-python prediction model for the compressive strength of green concrete. Construction Innovation, 23(2), pp. 340-359. ISSN 1471-4175

Migliaccio, G C; Guindani, M; D'Incognito, M and Zhang, L (2013) Empirical assessment of spatial prediction methods for location cost-adjustment factors. Journal of Construction Engineering and Management, 139(7), pp. 858-869. ISSN 0733-9364

Mohammadi, P; Asgari, S; Rashidi, A and Alder, R (2025) Culvert inspection framework using hybrid xgboost and risk-based prioritization: Utah case study. Journal of Construction Engineering and Management, 151(6): 04025052, ISSN 0733-9364

Mohammed Abdelkader, E; Zayed, T; Elshaboury, N and Taiwo, R (2025) A hybrid Bayesian optimization-based deep learning model for modeling the condition of saltwater pipes in Hong Kong. International Journal of Construction Management, 25(1), pp. 46-62. ISSN 1562-3599

Molenaar, K R and Songer, A D (1998) Model for public sector design-build project selection. Journal of Construction Engineering and Management, 124(6), pp. 467-479. ISSN 0733-9364

Mostofi, F; Tokdemir, O B and Toǧan, V (2023) Comprehensive root cause analysis of construction defects using semisupervised graph representation learning. Journal of Construction Engineering and Management, 149(9): 04023079, ISSN 0733-9364

Mostofi, F; Tokdemir, O B; Toǧan, V and Arditi, D (2024) Predicting the cost of rework in high-rise buildings using graph convolutional networks. Journal of Construction Engineering and Management, 150(8): 04024085, ISSN 0733-9364

Ofosu, K (2010) An integrated approach to transportation infrastructure management. PhD thesis, Florida State University, USA.

Oguz Erkal, E D; Hallowell, M R; Ghriss, A and Bhandari, S (2024) Predicting serious injury and fatality exposure using machine learning in construction projects. Journal of Construction Engineering and Management, 150(3): 04023169, ISSN 0733-9364

Okika, M C; Vermeulen, A and Pretorius, J H C (2025) A systematic approach to identify and manage supply chain risks in construction projects. Journal of Financial Management of Property and Construction, 30(1), pp. 42-66. ISSN 1366-4387

Oloke, D; Edwards, D J; Wright, B and Love, P E D (2006) A web-based information management system for predicting the breakdown of off-highway plant. Journal of Engineering, Design and Technology, 4(1), pp. 29-45. ISSN 1726-0531

Padala, S P S and Goyal, A (2025) Early stage cost prediction model for Indian building construction projects using artificial neural networks. Journal of Financial Management of Property and Construction, 30(3), pp. 377-397. ISSN 1366-4387

Park, T i (2009) A comprehensive asset management system for sewer infrastructures. PhD thesis, Pennsylvania State University, USA.

Patil, S; Goudar, M and Kharadkar, R (2022) Neural network-based estimation of lighting condition in indoor environment with improved brain storm algorithm. Journal of Engineering, Design and Technology, 20(6), pp. 1565-1580. ISSN 1726-0531

Patil, S V; Balakrishna Rao, K and Nayak, G (2023) Prediction of recycled coarse aggregate concrete mechanical properties using multiple linear regression and artificial neural network. Journal of Engineering, Design and Technology, 21(6), pp. 1690-1709. ISSN 1726-0531

Peiman, F; Khalilzadeh, M; Shahsavari-Pour, N and Ravanshadnia, M (2025) Estimation of building project completion duration using a natural gradient boosting ensemble model and legal and institutional variables. Engineering, Construction and Architectural Management, 32(4), pp. 2069-2104. ISSN 0969-9988

Peng, M (2006) Item-level quantity-based preliminary cost estimating system for highway structures and miscellaneous construction. PhD thesis, University of Texas at Austin, USA.

Peng, Min (2006) Item-level quantity-based preliminary cost estimating system for highways structures and miscellaneous construction. PhD thesis, University of Texas at Austin, USA.

Pereira, P F; Ramos, N M M and Simões, M L (2020) Data-driven occupant actions prediction to achieve an intelligent building. Building Research & Information, 48(5), pp. 485-500. ISSN 0961-3218

Persad, K R (1989) Management of the preconstruction process for highway projects using manpower demand prediction models. PhD thesis, University of Texas at Austin, USA.

Philip, B and AlJassmi, H (2024) Time-series forecasting of road distress parameters using dynamic Bayesian belief networks. Construction Innovation, 24(1), pp. 317-340. ISSN 1471-4175

Pulket, T (2008) Universal prediction model for construction litigation. PhD thesis, Illinois Institute of Technology, USA.

Pulket, T and Arditi, D (2009) Construction litigation prediction system using ant colony optimization. Construction Management and Economics, 27(3), pp. 241-251. ISSN 1466433X

Rashid, K M and Behzadan, A H (2018) Risk behavior-based trajectory prediction for construction site safety monitoring. Journal of Construction Engineering and Management, 144(2): 04017106, ISSN 0733-9364

Rudeli, N; Santilli, A; Puente, I and Viles, E (2017) Statistical model for schedule prediction: Validation in a housing-cooperative construction database. Journal of Construction Engineering and Management, 143(11): 04017083, ISSN 0733-9364

Said, H (2016) Modeling and likelihood prediction of prefabrication feasibility for electrical construction firms. Journal of Construction Engineering and Management, 142(2): 04015071, ISSN 0733-9364

Salem, O M (1999) Infrastructure construction and rehabilitation: Risk-based life cycle cost analysis. PhD thesis, University of Alberta, Canada.

Salman, B and Gursoy, B (2022) Markov chain pavement deterioration prediction models for local street networks. Built Environment Project and Asset Management, 12(6), pp. 853-870. ISSN 2044-124X

Santos, Raphael Lucio Reis dos (2023) Development of a prediction model for generation of construction and demolition waste for proposing a management network in medium-sized municipalities. PhD thesis, Centro Federal de Educação Tecnológica de Minas Gerais, Brazil.

Sanyal, A P and Bhattacharya, S P (2024) A comparative analysis between CBR based prediction models and mra models for high-rise construction delay prediction. International Journal of Construction Management, 24(2), pp. 124-136. ISSN 1562-3599

Selvam, G; Kamalanandhini, M; Velpandian, M and Shah, S (2025) Duration and resource constraint prediction models for construction projects using regression machine learning method. Engineering, Construction and Architectural Management, 32(9), pp. 5743-5763. ISSN 0969-9988

Seo, W; Kim, B; Bang, S and Kang, Y (2024) Identifying key financial variables predicting the financial performance of construction companies. Journal of Construction Engineering and Management, 150(3): 04024007, ISSN 0733-9364

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