Items with Subject: prediction and forecasting

Number of items: 755.

A. Mohy, A.; Bassioni, H. A.; Elgendi, E. O. and Hassan, T. M. (2026) Modeling spatiotemporal hazard dynamics for construction safety using graph attention networks. Journal of Engineering, Design and Technology, ISSN 1726-0531

Abbasnejad, B; Nasirian, A; Duan, S; Diro, A; Prasad Nepal, M and Song, Y (2024) Measuring BIM implementation: A mathematical modeling and artificial neural network approach. Journal of Construction Engineering and Management, 150(5): 04024032, ISSN 0733-9364

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.

Abdelazeem, A S and Ibrahim, A H (2022) Evaluation of project cost and schedule performance using fuzzy theory-based polynomial function. International Journal of Construction Management, 22(13), pp. 2564-2576. ISSN 1562-3599

Abdelshafy, A and Walther, G (2023) Using dynamic-locational material flow analysis to model the development of urban stock. Building Research & Information, 51(1), pp. 5-20. ISSN 0961-3218

Abdolrezaei, H; Siahkali, H and Olamaei, J (2021) Coordination of similar days and multi-objective posterior process to predict energy of transmission substation. Journal of Engineering, Design and Technology, 19(6), pp. 1556-1585. ISSN 1726-0531

Abdou, A; Lewis, J and Alzarooni, S (2004) Modelling risk for construction cost estimating and forecasting: A review. In: Khosrowshahi, F (ed.) Proceedings of 20th Annual ARCOM Conference, 1-3 September 2004, Edinburgh, UK.

Abdul-Rahman, H and Alidrisyi, M N (1994) A perspective of material management practices in fast developing economy: The case of Malaysia. Construction Management and Economics, 12(5), pp. 413-422. ISSN 01446193

Abdullah, R Z (1988) Integrated systems for site management. PhD thesis, Loughborough University, UK.

Abdulmajid, S A D (1967) Resource forecasting models for private housing projects. PhD thesis, University of Manchester, UK.

Abotaleb, I S and El-Adaway, I H (2018) First attempt toward a holistic understanding of the interdependent rippled impacts associated with out-of-sequence work in construction projects: System dynamics modeling approach. Journal of Construction Engineering and Management, 144(9): 04018084, ISSN 0733-9364

Abounia Omran, B (2016) Application of data mining and big data analytics in the construction industry. PhD thesis, Ohio 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

Abudu, H. D.; Mewomo, M. C.; Adjei, K. O. and Bondinuba, F. K. (2026) An emergency response framework for improving crisis management in facilities: PLS-SEM approach. International Journal of Disaster Resilience in the Built Environment, ISSN 1759-5908

Abutabenjeh, S A (2014) The impacts of in-state procurement preference policies on the economy of South Carolina. PhD thesis, Old Dominion University, USA.

Adafin, J; Rotimi, J O B; Wilkinson, S and Mbachu, J (2019) An assessment of risk factors impacting budget variability in New Zealand commercial construction projects. In: Gorse, C and Neilson, C J (eds.) Proceedings of 35th Annual ARCOM Conference, 2-4 September 2019, Leeds Beckett University, Leeds, UK.

Adams, B J (1977) A study of the feasibility of using forecasting models to characterize the supply of contract construction labor. PhD thesis, Texas A&M University, USA.

Adepu, N; Kermanshachi, S; Pamidimukkala, A and Nwakpuda, E (2025) An analytical approach to understanding construction cost overruns during COVID-19. Smart and Sustainable Built Environment, 14(6), pp. 1780-1794. ISSN 2046-6099

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

Agapiou, A (1996) Forecasting the supply of construction labour. PhD thesis, Loughborough University, UK.

Agapiou, A; Price, A and McCaffer, R (1995) Forecasting the supply of construction skills in the UK. Construction Management and Economics, 13(4), pp. 353-364. ISSN 01446193

Agbo, E A; Izam, Y D and Ayegba, C (2022) Quantifying the impact of work environment factors on the variability of labour productivity in wall plastering. Journal of Construction in Developing Countries, 27(2), pp. 109-125. ISSN 1823-6499

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

Aghajamali, K; Metvaei, S; Suliman, A; Lei, Z and Chen, Q (2025) Development of a prefabricated construction productivity estimation model through BIM and data augmentation processes. Construction Management and Economics, 43(5), pp. 340-359. ISSN 0144-6193

Agyekum, B; Kissi, E; Yamoah Agyemang, D and Badu, E (2018) Examining barriers for the utilization of non-traditional cost estimating models in developing countries: Ghanaian quantity surveyors' perspectives. Journal of Engineering, Design and Technology, 16(6), pp. 814-827. ISSN 1726-0531

Ahadzie, D K (2007) A model for predicting the performance of project managers in mass house building projects in Ghana. PhD thesis, University of Wolverhampton, UK.

Ahiaga-Dagbui, D and Smith, S D (2012) Neural networks for modelling the final target cost of water projects. In: Smith, S D (ed.) Proceedings of 28th Annual ARCOM Conference, 3-5 September 2012, Edinburgh, UK.

Ahiaga-Dagbui, D D and Smith, S D (2014) Dealing with construction cost overruns using data mining. Construction Management and Economics, 32(7-8), pp. 682-694. ISSN 01446193

Ahmed, A L (2019) Development of conceptual constructs for organisational BIM adoption and their systematic application within the UK architecture sector. PhD thesis, University of Sheffield, UK.

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

Akintoye, A; Bowen, P and Hardcastle, C (1998) Macro-economic leading indicators of construction contract prices. Construction Management and Economics, 16(2), pp. 159-175. ISSN 01446193

Akintoye, A and Skitmore, M (1994) Models of UK private sector quarterly construction demand. Construction Management and Economics, 12(1), pp. 3-13. ISSN 01446193

Akintoye, S A (1991) Construction tender price index: modelling and forecasting trends. PhD thesis, University of Salford, UK.

Akintoye, S A and Skitmore, R M (1994) A comparative analysis of three macro price forecasting models. Construction Management and Economics, 12(3), pp. 257-270. ISSN 01446193

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-Aomar, R; AlTal, M and Abel, J (2024) A data-driven predictive maintenance model for hospital HVAC system with machine learning. Building Research & Information, 52(1-2), pp. 207-224. ISSN 0961-3218

Al-Gahtani, K; Alsugair, A; Alsanabani, N; Alabduljabbar, A and Almutairi, B (2024) Forecasting delay-time model for Saudi construction projects using DEMATEL–sd technique. International Journal of Construction Management, 24(11), pp. 1225-1239. ISSN 1562-3599

Al-Jibouri, S and Mawdesley, M J (2001) Development and application of a stochastic based cost prediction model for construction. Journal of Financial Management of Property and Construction, 6(1), pp. 61-69. ISSN 1366-4387

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

Al-Tabtabai, H (1992) Judgemental forecasting in construction projects. Construction Management and Economics, 10(1), pp. 19-30. ISSN 01446193

Al-Tabtabai, H; Kartam, N; Flood, I A N and Alex, A P (1997) Expert judgment in forecasting construction project completion. Engineering, Construction and Architectural Management, 4(4), pp. 271-293. ISSN 0969-9988

Al-Tabtabai, H M (1989) PROCON: A knowledge-based approach to construction project control. PhD thesis, University of Colorado at Boulder, USA.

AlBughdadi, A J M (2022) Advanced decision support tools for bridge asset management. PhD thesis, Iowa State University, USA.

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

Alasad, R; Motawa, I and Ogunlana, S (2012) A system dynamics-based method for demand forecasting in infrastructure projects: A case of PPP projects. In: Smith, S D (ed.) Proceedings of 28th Annual ARCOM Conference, 3-5 September 2012, Edinburgh, UK.

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

Alexander, D; Hallowell, M and Gambatese, J (2017) Precursors of construction fatalities. II: Predictive modeling and empirical validation. Journal of Construction Engineering and Management, 143(7): 04017024, ISSN 0733-9364

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

Alhosani, Y (2017) An empirical investigation of the demographics of top management team (TMT) and its influence in forecasting organizational outcome in international architecture, engineering and construction (AEC) firms: A fuzzy set approach. DEng thesis, Ecole de Technologie Superieure, Canada.

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

Allahaim, Fahad Saud Abdulaziz (2015) Improving cost contingency estimation for infrastructure projects based on the impact of cost overrun causes of similar projects – illustration using Saudi Arabia survey data. PhD thesis, University of Sydney, Australia.

Almohssen, Abdulaziz (2018) A new methodology for tracking the performance of subcontractors in the construction industry. PhD thesis, University of New South Wales, Australia.

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

Alshboul, O; Shehadeh, A; Al-Kasasbeh, M; Al Mamlook, R E; Halalsheh, N and Alkasasbeh, M (2022) Deep and machine learning approaches for forecasting the residual value of heavy construction equipment: A management decision support model. Engineering, Construction and Architectural Management, 29(10), pp. 4153-4176. ISSN 0969-9988

Alshibani, A (2008) Optimizing and controlling earthmoving operations using spatial technologies. PhD thesis, Concordia University, Canada.

Altalhoni, A; Liu, H; Abudayyeh, O; Kwigizile, V; Huang, W C and Kirkpatrick, K (2025) Robust forecasting models for highway construction cost indices during pandemic-era inflation. Journal of Construction Engineering and Management, 151(8): 04025101, ISSN 0733-9364

Alves, J. L.; Almeida Filho, A. T. D.; Bradaschia, F. and Palha, R. P. (2026) Solarisbim.AI: Smart sustainable building planning with BIM-based solar-production estimation using machine-learning radiation forecasts. Journal of Construction Engineering and Management, 152(6): 04026076, ISSN 0733-9364

Alzubi, Y; Aljaafreh, A and Khatatbeh, A (2024) Application of machine learning techniques in estimating the construction cost of residential buildings in the middle East region. International Journal of Construction Management, 24(9), pp. 946-958. ISSN 1562-3599

Amadi, A I (2021) A back-end view to climatic adaptation: Partitioning weather-induced cement demand variance in wet humid environment. International Journal of Building Pathology and Adaptation, 39(2), pp. 153-174. ISSN 23984708

Amini Khafri, Amin (2018) A framework for forecasting project estimate at completion using historical and current performance data. PhD thesis, University of Alberta, Canada.

Amuda Yusuf, G and Mohamed, S F (2014) Perceived benefits of adopting standard: based pricing mechanism for mechanical and electrical services installations. Construction Economics and Building, 14(2), pp. 104-119. ISSN 2204-9029

Amuda-Yusuf, G (2018) Critical success factors for building information modelling implementation. Construction Economics and Building, 18(3), pp. 55-73. ISSN 2204-9029

Anastasopoulos, P C; Labi, S; Bhargava, A; Bordat, C and Mannering, F L (2010) Frequency of change orders in highway construction using alternate count-data modeling methods. Journal of Construction Engineering and Management, 136(8), pp. 886-893. ISSN 0733-9364

Andalib, M (2026) Predictive modelling for contract selection in construction through data mining and machine learning: Insights from agency theory. International Journal of Construction Education and Research, 22(1), pp. 138-163. ISSN 1557-8771

Andalib, R; Hoseini, A and Gatmiri, B (2018) A stochastic model of cash flow forecasting considering delays in owners' payments. Construction Management and Economics, 36(10), pp. 545-564. ISSN 01446193

Annamalaisami, C D and Kuppuswamy, A (2022) Reckoning construction cost overruns in building projects through methodological consequences. International Journal of Construction Management, 22(6), pp. 1079-1089. ISSN 1562-3599

Anumba, C; Dainty, A R J; Ison, S G and Sergeant, A (2005) The application of GIS to construction labour market planning. Construction Innovation, 5(4), pp. 219-230. ISSN 1471-4175

Arida, M A (2024) Enhancing thermal comfort in commercial buildings: Contributions of machine learning algorithms for optimizing predictive thermal comfort indices. PhD thesis, North Carolina Agricultural and Technical State University, USA.

Ashrafi, R M (1981) Risk analysis in management planning and project control: probabilistic techniques are applied to the estimation, planning, forecasting and control of large capital projects to ascertain and reduce the degree of inherent risk and uncertainty. PhD thesis, University of Bradford, UK.

Ashuri, B and Lu, J (2010) Time series analysis of ENR construction cost index. Journal of Construction Engineering and Management, 136(11), pp. 1227-1237. ISSN 0733-9364

Ashuri, B; Shahandashti, S M and Lu, J (2012) Empirical tests for identifying leading indicators of ENR construction cost index. Construction Management and Economics, 30(11), pp. 917-927. ISSN 1466433X

Asiedu, R O; Frempong, N K and Alfen, H W (2017) Predicting likelihood of cost overrun in educational projects. Engineering, Construction and Architectural Management, 24(1), pp. 21-39. ISSN 0969-9988

Asiedu, R O; Frempong, N K and Nani, G (2016) Parametric time overrun estimation of building projects. Journal of Financial Management of Property and Construction, 21(3), pp. 253-268. ISSN 1366-4387

Assaf, S A-E (1982) A systematic approach to the selection of a risk retention level for construction insurance. PhD thesis, University of Illinois at Urbana-Champaign, USA.

Atapattu, C N; Domingo, N and Sutrisna, M (2024) A conceptual cost estimation model for the pre-design stage of road projects using multiple regression analysis. Journal of Financial Management of Property and Construction, 29(3), pp. 388-404. ISSN 1366-4387

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.

Awe, O O; Atofarati, E O; Adeyinka, M O; Musa, A P and Onasanya, E O (2024) Assessing the factors affecting building construction collapse casualty using machine learning techniques: A case of Lagos, Nigeria. International Journal of Construction Management, 24(3), pp. 261-269. ISSN 1562-3599

Aydinli, S (2024) Impact of unexpected conditions on construction cost forecasting performance: evidence from Europe. Construction Management and Economics, 42(9), pp. 787-801. ISSN 01446193

Ayeni, Reuben Ebenmosi (2025) Intelligent project duration estimating system: An AI-based predictive approach for construction time estimation. PhD thesis, London South Bank University, UK.

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

Azadeh, A; Kalantari, M; Ahmadi, G and Eslami, H (2019) A flexible genetic algorithm-fuzzy regression approach for forecasting: The case of bitumen consumption. Construction Innovation, 19(1), pp. 71-88. ISSN 1471-4175

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

Ballesteros-Pérez, P; Sanz-Ablanedo, E; Cerezo-Narváez, A; Lucko, G; Pastor-Fernández, A; Otero-Mateo, M and Contreras-Samper, J P (2020) Forecasting accuracy of in-progress activity duration and cost estimates. Journal of Construction Engineering and Management, 146(9), ISSN 0733-9364

Ballesteros-Pérez, P and Skitmore, M (2016) Estimating the number of new and repeated bidders in construction auctions. Construction Management and Economics, 34(12), pp. 919-934. ISSN 01446193

Ballesteros-Pérez, P and Skitmore, M (2017) On the distribution of bids for construction contract auctions. Construction Management and Economics, 35(3), pp. 106-121. ISSN 01446193

Ballesteros-Pérez, P; Skitmore, M; Cerezo-Narváez, A; González-Cruz, M C; Pastor-Fernández, A and Otero-Mateo, M (2021) Standard deviation of bids for construction contract auctions. Journal of Construction Engineering and Management, 147(8): 04021096, ISSN 0733-9364

Ballesteros-Pérez, P; Skitmore, M; Sanz-Ablanedo, E and Verhoeven, P (2019) Forecasting the number and distribution of new bidders for an upcoming construction auction. Journal of Construction Engineering and Management, 145(10): 040190561, ISSN 0733-9364

Bambrah, G K (1989) A systematic approach to appraisal/evaluation of civil engineering projects, with special emphasis on technology. PhD thesis, Loughborough University, UK.

Baqerin, M H; Shafahi, Y and Kashani, H (2016) Application of Weibull analysis to evaluate and forecast schedule performance in repetitive projects. Journal of Construction Engineering and Management, 142(2): 04015058, ISSN 0733-9364

Barnes, N M L (1971) The design and use of experimental bills of quantities for civil engineering contracts. PhD thesis, University of Manchester, UK.

Barraza, G A; Back, W E and Mata, F (2004) Probabilistic forecasting of project performance using stochastic S curves. Journal of Construction Engineering and Management, 130(1), pp. 25-32. ISSN 0733-9364

Barraza, G A and Bueno, R A (2007) Probabilistic control of project performance using control limit curves. Journal of Construction Engineering and Management, 133(12), pp. 957-965. ISSN 0733-9364

Barrientos-Orellana, A; Ballesteros-Pérez, P; Mora-Melia, D; González-Cruz, M C and Vanhoucke, M (2022) Stability and accuracy of deterministic project duration forecasting methods in earned value management. Engineering, Construction and Architectural Management, 29(3), pp. 1449-1469. ISSN 0969-9988

Bates, William (1999) A strategy for the development of a knowledge based system for predicting out-turn costs of heavy engineering works within a multi-national cost consultancy. PhD thesis, Teesside University, UK.

Batselier, J and Vanhoucke, M (2015) Empirical evaluation of earned value management forecasting accuracy for time and cost. Journal of Construction Engineering and Management, 141(11): 05015010, ISSN 0733-9364

Bayram, S and Al-Jibouri, S (2016) Efficacy of estimation methods in forecasting building projects' costs. Journal of Construction Engineering and Management, 142(11): 05016012, ISSN 0733-9364

Bayram, S and Al-Jibouri, S (2018) Cost forecasting using RCF: A case study for planning public building projects costs in Turkey. International Journal of Construction Management, 18(5), pp. 405-417. ISSN 1562-3599

Bee-Hua, G (1999) An evaluation of the accuracy of the multiple regression approach in forecasting sectoral construction demand in Singapore. Construction Management and Economics, 17(2), pp. 231-241. ISSN 01446193

Bee-Hua, G (2000) Evaluating the performance of combining neural networks and genetic algorithms to forecast construction demand: The case of the Singapore residential sector. Construction Management and Economics, 18(2), pp. 209-217. ISSN 01446193

Bender, W J (2000) A risk-based cost control methodology for constructing complex structures with the mobile offshore base as a case study. PhD thesis, University of Maryland, College Park, USA.

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

Bernie, J and Howes, R (1983) Project management control using real-time budgeting and forecasting models. Construction Papers, 2(1), pp. 19-40. ISSN 0144-8587

Berny, J (1988) Forecasting and risk analysis applied to management planning and control. PhD thesis, Aston University, UK.

Bhargava, A; Anastasopoulos, P C; Labi, S; Sinha, K C and Mannering, F L (2010) Three-stage least-squares analysis of time and cost overruns in construction contracts. Journal of Construction Engineering and Management, 136(11), pp. 1207-1218. ISSN 0733-9364

Bhaumik, P K (2016) Developing and using a new family of project S-curves using early and late shape parameters. Journal of Construction Engineering and Management, 142(12): 04016076, ISSN 0733-9364

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 and Kaka, A (2006) A novel multiple linear regression model for forecasting S-curves. Engineering, Construction and Architectural Management, 13(1), pp. 82-95. ISSN 0969-9988

Blyth, K; Lewis, J and Kaka, A (2004) Predicting project and activity duration for buildings in the UK. Journal of Construction Research, 5(2), pp. 329-347. ISSN 1609-9451

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.

Boo, J H S (2001) Improving the accuracy of approximate estimates of building projects. Building Research & Information, 29(4), pp. 312-318. ISSN 0961-3218

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

Bourgeois, I.; Ferreira, V. and Rodrigues, H. (2026) From monitoring to forecasting: Predictive modelling of thermal-induced displacements in heritage masonry: The batalha monastery case study. International Journal of Building Pathology and Adaptation, 44(9), pp. 16-34. ISSN 2398-4708

Bourgeois, I.; Ferreira, V. and Rodrigues, H. (2026) From monitoring to forecasting: Predictive modelling of thermal-induced displacements in heritage masonry: The Batalha Monastery case study. International Journal of Building Pathology and Adaptation, 44(9), pp. 16-34. ISSN 2398-4708

Boussabaine, A H (2001) Neurofuzzy modelling of construction projects' duration I: Principles. Engineering, Construction and Architectural Management, 8(2), pp. 104-113. ISSN 0969-9988

Boussabaine, A H and Duff, A R (1996) An expert-simulation system for construction productivity forecasting. Building Research & Information, 24(5), pp. 279-286. ISSN 0961-3218

Boussabaine, A H and Kaka, A P (1998) A neural networks approach for cost flow forecasting. Construction Management and Economics, 16(4), pp. 471-479. ISSN 01446193

Boussabaine, A H and Kirkham, R J (2004) Simulation of maintenance costs in UK local authority sport centres. Construction Management and Economics, 22(10), pp. 1011-1020. ISSN 01446193

Boussabaine, A H; Thomas, R and Elhag, T M S (1999) Modelling cost-flow forecasting for water pipeline projects using neural networks. Engineering, Construction and Architectural Management, 6(3), pp. 213-224. ISSN 0969-9988

Bowen, P.; Govender, R.; Edwards, P. and Cattell, K. (2015) Tested or not? A categorical examination of HIV/AIDS testing among workers in the South African construction industry. Journal of Construction Engineering and Management, 141(12): 04015040, ISSN 0733-9364

Bowen, P; Edwards, P; Lingard, H and Cattell, K (2014) Predictive modeling of workplace stress among construction professionals. Journal of Construction Engineering and Management, 140(3): 4013055, ISSN 0733-9364

Bowen, P; Govender, R; Edwards, P and Cattell, K (2014) Workplace stress in the construction industry: An explanatory model. In: Raiden, A and Aboagye-Nimo, E (eds.) Proceedings of 30th Annual ARCOM Conference, 1-3 September 2014, Portsmouth, UK.

Bowen, P; Govender, R; Edwards, P and Cattell, K (2015) Tested or not? a categorical examination of HIV/AIDS testing among workers in the South African construction industry. Journal of Construction Engineering and Management, 141(12): 04015040, ISSN 0733-9364

Bowen, P; Govender, R; Edwards, P and Cattell, K (2016) An explanatory model of attitudinal fear of HIV/AIDS testing in the construction industry. Engineering, Construction and Architectural Management, 23(1), pp. 92-112. ISSN 0969-9988

Bowen, P; Govender, R; Edwards, P; Cattell, K and Street, A (2015) Factors determining South African construction workers' prejudice towards and discrimination against HIV+ persons. Journal of Construction Engineering and Management, 141(7): 4015014, ISSN 0733-9364

Bowen, P; Yakubu, K and Govender, R (2022) Predictors of moderate to high risk of alcohol harm among site-based South African construction workers. Construction Management and Economics, 40(6), pp. 442-458. ISSN 01446193

Bowen, P A (1993) A communication-based approach to price modelling and price forecasting in the design phase of the traditional building procurement process in South Africa. Unpublished PhD thesis, University of Port Elizabeth, South Africa.

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Zeng, S; Chung, F and Ashuri, B (2024) Forecasting right-of-way (ROW) acquisition timeline of transportation projects. Built Environment Project and Asset Management, 14(2), pp. 129-146. ISSN 2044-124X

Zhang, L (2021) Artificial neural network intelligent technique and multiple nonlinear regression for prediction and optimization of the transmittance of lightpipes and implementation in BIM. PhD thesis, University of Nottingham, UK.

Zhang, M and Ge, S (2022) Vision and trajectory-based dynamic collision prewarning mechanism for tower cranes. Journal of Construction Engineering and Management, 148(7): 04022057, ISSN 0733-9364

Zhang, S; Du, C; Sa, W; Wang, C and Wang, G (2014) Bayesian-based hybrid simulation approach to project completion forecasting for underground construction. Journal of Construction Engineering and Management, 140(1): 04013031, ISSN 0733-9364

Zhang, S; Migliaccio, G C; Zandbergen, P A and Guindani, M (2014) Empirical assessment of geographically based surface interpolation methods for adjusting construction cost estimates by project location. Journal of Construction Engineering and Management, 140(6): 4014015, ISSN 0733-9364

Zhang, X (2019) Application of queuing theory: A decision support model for construction companies in the implementation of 3D printing. PhD thesis, University of Florida, USA.

Zhang, X; Shen, L; Xia, B and Skitmore, M (2010) Key competitiveness indicators for new real estate developers. Journal of Financial Management of Property and Construction, 15(2), pp. 143-157. ISSN 1366-4387

Zhang, Y; Liu, L; Song, Z; Zhao, Y and He, S (2024) Enhancing tunnel boring machine penetration rate predictions through particle swarm optimization and elman neural networks. Journal of Construction Engineering and Management, 150(9): 04024116, ISSN 0733-9364

Zhang, Y; Minchin, R E and Agdas, D (2017) Forecasting completed cost of highway construction projects using LASSO regularized regression. Journal of Construction Engineering and Management, 143(10): 04017071, ISSN 0733-9364

Zhao, Y; Chen, W; Arashpour, M; Yang, Z; Shao, C and Li, C (2022) Predicting delays in prefabricated projects: Sd-bp neural network to define effects of risk disruption. Engineering, Construction and Architectural Management, 29(4), pp. 1753-1776. ISSN 0969-9988

Zheng, X; Chau, K W and Hui, E C M (2012) The impact of property price on construction output. Construction Management and Economics, 30(12), pp. 1025-1037. ISSN 1466433X

Zheng, Y; Tang, L and Chau, K W (2025) BIM investment decision model (BIDM): Evaluation of features and proposal of a regression model based on the LASSO method. Journal of Financial Management of Property and Construction, 30(2), pp. 232-255. ISSN 1366-4387

Zheng, Z; Li, Y and Torres, J (2024) An integrated method of automated layout design and optimization for modular construction. Engineering, Construction and Architectural Management, 31(3), pp. 1016-1036. ISSN 0969-9988

Zhou, Z; Xie, Y; Zhou, L and Zhang, Z (2026) Risk factor analysis of crane accidents based on HFACS in the construction industry. Journal of Construction Engineering and Management, 152(5): 04026036, ISSN 0733-9364

This list was generated on Sat Aug 22 02:27:15 2026 UTC.