Items with Index Term: forecasting

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

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

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.

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

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

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

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.

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-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-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.

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.

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.

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.

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

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, 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

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.

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

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

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.

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

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

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 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.

Bowen, P A and Edwards, P J (1985) Cost modelling and price forecasting: Practice and theory in perspective. Construction Management and Economics, 3(3), pp. 199-215. ISSN 01446193

Briscoe, G (2008) Studies of the UK labour market with special reference to the construction sector. PhD thesis, Coventry University, UK.

Brown, B H J (1974) An econometric forecasting model for a segment of the construction market. PhD thesis, Oklahoma State University, USA.

Calvert, G S (2021) A multiple defect approach to bridge life cycle modelling. PhD thesis, University of Nottingham, UK.

Cantarelli, C C (2011) Cost overruns in large-scale transport infrastructure projects: A theoretical and empirical exploration for the Netherlands and worldwide. PhD thesis, Delft University of Technology, Netherlands.

Cao, M T; Cheng, M Y and Wu, Y W (2015) Hybrid computational model for forecasting Taiwan construction cost index. Journal of Construction Engineering and Management, 141(4): 04014089, ISSN 0733-9364

Capano, C D (2007) Construction operations analysis for development of historical cost databases. PhD thesis, Marquette University, USA.

Carmo, Cristiano Saad Travassos do (2023) A hybrid solution using stochastic and neural networks modeling for the consideration of safety uncertainties in construction planning methods. PhD thesis, Pontifícia Universidade Católica do Rio de Janeiro, Brazil.

Chan, A P C; Chiang, Y H; Mak, S W K; Choy, L H T and James, M W W (2006) Forecasting the demand for construction skills in Hong Kong. Construction Innovation, 6(1), pp. 3-19. ISSN 1471-4175

Chan, A P C; Wong, J M W and Chiang, Y H (2003) Modelling labour demand at project level: An empirical study in Hong Kong. Journal of Engineering, Design and Technology, 1(2), pp. 135-150. ISSN 1726-0531

Chang, C J and Yu, S W (2018) Three-variance approach for updating earned value management. Journal of Construction Engineering and Management, 144(6): 04018045, ISSN 0733-9364

Chang, S; Castro-Lacouture, D and Yamagata, Y (2020) Estimating building electricity performance gaps with internet of things data using Bayesian multilevel additive modeling. Journal of Construction Engineering and Management, 146(12): 05020017, ISSN 0733-9364

Chen, J. H.; Shen, L. and Yu, T. (2026) Predicting manpower allocation for landscape construction projects using xgboost and shap. Engineering, Construction and Architectural Management, pp. 1-19. ISSN 0969-9988

Chen, J. H.; Shen, L. and Yu, T. (2026) Predicting manpower allocation for landscape construction projects using xgboost and shap. Engineering, Construction and Architectural Management, pp. 1-19. ISSN 0969-9988

Chen, H L (2009) Model for predicting financial performance of development and construction corporations. Journal of Construction Engineering and Management, 135(11), pp. 1190-1200. ISSN 0733-9364

Chen, H L; O'Brien, W J and Herbsman, Z J (2005) Assessing the accuracy of cash flow models: The significance of payment conditions. Journal of Construction Engineering and Management, 131(6), pp. 669-676. ISSN 0733-9364

Chen, H-L (2002) Development of a systematic integration approach for multi-level cost flow prediction and management. PhD thesis, University of Florida, 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.; Khitam, A. F. K.; Vu, Q. T. and Widjaja, D. D. (2026) Satellite-inspired time-frequency deep learning for predicting and assessing financial health in general contractors. Journal of Construction Engineering and Management, 152(8): 04026120, ISSN 0733-9364

Cheng, M. Y.; Sholeh, M. N. and Poetra, B. A. (2026) Predicting the construction cost-time tradeoff using optimized hybrid deep learning for risk preference decision making. International Journal of Construction Management, 26(10), pp. 2018-2044. ISSN 1562-3599

Cheng, M Y; Vu, Q T; Dessalegn, M and Chen, J H (2025) Time-dependent rebar price prediction for procurement decision-making using bio-optimized deep machine learning. Engineering, Construction and Architectural Management, 32(12), pp. 7938-7971. ISSN 0969-9988

Cheng, E W L; Li, H; Shen, L Y and Fong, P S W (2002) Ranking of construction information for various functions of the general contractors: A preliminary study. Journal of Construction Research, 3(1), pp. 181-191. ISSN 1609-9451

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, F K T (2005) Development and testing of a method for forecasting prices of multi-storey buildings during the early design stage: The storey enclosure method revisited. PhD thesis, Queensland University of Technology, Australia.

Cheung, F K T and Skitmore, M (2006) A modified storey enclosure model. Construction Management and Economics, 24(4), pp. 391-405. ISSN 01446193

Choi, C Y; Ryu, K R and Shahandashti, M (2021) Predicting city-level construction cost index using linear forecasting models. Journal of Construction Engineering and Management, 147(2): 0001973, ISSN 0733-9364

Choi, J (2003) Strategic motives underlying M and A transactions in the United States public construction industry. PhD thesis, University of Wisconsin - Madison, USA.

Clarke, R N (1988) A managerial approach to forecasting for the construction industry. PhD thesis, Queen's University Belfast, UK.

Cromie, S I (1992) Forecasting the demand for aggregates in England and Wales, the role of forecasts of demand in the aggregate planning system. PhD thesis, University of Dundee, UK.

Dabirian, S; Ahmadi, M and Abbaspour, S (2023) Analyzing the impact of financial policies on construction projects performance using system dynamics. Engineering, Construction and Architectural Management, 30(3), pp. 1201-1221. ISSN 0969-9988

Daoud, A O; KhairEldin, M; Ibrahim, A H and Toma, H M (2026) Adaptive neuro-fuzzy inference system for Egyptian residential construction waste prediction. International Journal of Construction Management, 26(6), pp. 1059-1077. ISSN 1562-3599

Dawood, N N (1994) Developing a production management modelling approach for precast concrete building products. Construction Management and Economics, 12(5), pp. 393-412. ISSN 01446193

Dawood, N N (1996) A strategy for a computer-based materials management system for the building industry. Journal of Financial Management of Property and Construction, 1(2), pp. 17-28. ISSN 1366-4387

Dawood, N N (2000) Forecasting of cost indices in the Greek construction industry: A joint methodology approach. In: Akintoye, A (ed.) Proceedings of 16th Annual ARCOM Conference, 6-8 September 2000, Glasgow, UK.

Dawood, N N (2001) Development of a forecasting methodology for cost indices: An application to the Greek construction industry. Journal of Construction Procurement, 7(1), pp. 42-50. ISSN 1358-9180

Dawood, N N and Bates, W (1998) Forecasting indices for construction activities in the heavy civil engineering industry: A joint approach methodology. In: Hughes, W (ed.) Proceedings of 14th Annual ARCOM Conference, 9-11 September 1998, Reading, UK.

Dawood, N N and Bates, W (2000) A decision support system specification for out-turn cost and cost escalation in the heavy engineering industry. Engineering, Construction and Architectural Management, 7(4), pp. 330-346. ISSN 0969-9988

Dawood, N N and Neale, R H (1990) A survey of current production planning practices in the precast concrete industry. Construction Management and Economics, 8(4), pp. 365-383. ISSN 01446193

Dawood, N N and Neale, R H (1993) Forecasting the sales of precast concrete building products. Construction Management and Economics, 11(2), pp. 81-98. ISSN 01446193

De Marco, A; Narbaev, T; Ottaviani, F M and Vanhoucke, M (2024) Influence of cost contingency management on project estimates at completion. International Journal of Construction Management, 24(9), pp. 935-945. ISSN 1562-3599

Demirkesen, S (2024) Prediction of number of insured having work accident in Turkish construction industry. Proceedings of Institution of Civil Engineers: Management, Procurement and Law, 177(4), pp. 193-206. ISSN 17514304

Dietzenbacher, E and Hoen, A (2006) Coefficient stability and predictability in input-output models: A comparative analysis for the Netherlands. Construction Management and Economics, 24(7), pp. 671-680. ISSN 1466433X

Dikmen, I and Birgonul, M T (2004) Neural network model to support international market entry decisions. Journal of Construction Engineering and Management, 130(1), pp. 59-66. ISSN 0733-9364

Do, Q; Moriyani, M A; Le, T; Le, C and Piratla, K (2025) Enhanced highway project clustering framework to support project cost estimation. Journal of Construction Engineering and Management, 151(1): 04024191, ISSN 0733-9364

Dowse, G (2003) Qualitative residential market forecasts: The Auckland experience. Journal of Financial Management of Property and Construction, 8(3), pp. 193-201. ISSN 1366-4387

Dursun, O and Stoy, C (2016) Conceptual estimation of construction costs using the multistep ahead approach. Journal of Construction Engineering and Management, 142(9): 04016038, ISSN 0733-9364

Ebiloma, D O (2024) A digital twin maintenance management model for public hospital buildings in Nigeria. PhD thesis, University of Johannesburg, South Africa.

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