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Tytuł artykułu

Cost risk assessment for renovating old neighborhood of EPC projects in China using SEM-BNT-MEEM method

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The transformation of old neighborhood is a significant livelihood project for urban renewal, and promoting the profound transformation of old neighborhood is a significant problem faced by China, while the Engineering Procurement Construction(EPC) model integrates the design, procurement, and construction of the transformation project of old neighborhood, which improves the efficiency and quality of the transformation at the same time, and faces a significant cost risk problem due to the change of fixed lump-sum price contract, so in order to enhance the ability of the general contractor to prevent the cost risk and to improve the transformation project benefits, this study constructs a comprehensive evaluation index system consisting of 19 factors to assess the cost risk in all aspects from environment, technology, management, and economy, which proposes a new type of evaluation method combining structural equation modeling (SEM), blind number theory (BNT), and matter-element extension model (MEEM), and combines with the actual cases of old neighborhood remodeling to arrive at the risk level of the factors and based on the results of the analysis are given to confirm the validity of the model and provides a successful risk assessment tool.
Słowa kluczowe
Rocznik
Strony
377--392
Opis fizyczny
Bibliogr. 25 poz., il., tab.
Twórcy
  • Changsha University of Science and Technology, School of Transportation and Traffic Engineering, Changsha
autor
  • Changsha University of Science and Technology, School of Transportation and Traffic Engineering, Changsha
Bibliografia
  • [1] Z.Q. Wu, J. Wu, and J.L. Zhang, “Academic Talks on “Implementation Mechanisms of Renewal and Reconstruction of Old Urban Neighborhoods”, Urban Planning Forum, vol. 13, pp. 1-10, 2021, doi: 10.16361/j.upf.202103001.
  • [2] F.Z. Zeng and S.J. Zhang, “Study on Influencing Factors of Cost Control of Old Residential Area Reconstruction Project under EPC Mode”, Construction Economy, vol. 44, pp. 245-247, 2023, doi: 10.14181/j.cnki.1002-851x.2023S1245.
  • [3] M. Apollo and E. Miszewska-Urbańska, “Analysis of the increase of construction costs in urban regeneration projects”, Advances in Science & Technology Research Journal, vol. 9, no. 28, pp. 68-74, 2015, doi: 10.12913/22998624/60786.
  • [4] H.D. Liu and H.L. Song, “Contractor-Oriented Risk Analysis of EPC Hydropower project cost”, Journal of Industrial Engineering and Engineering Management, vol. 26, no. 04, pp. 119-126, 2012, doi: 10.13587/j.cnki.jieem.2012.04.005.
  • [5] P. Femenias, K. Mjornell, and L. Thuvander, “Rethinking deep renovation: The perspective of rental housing in Sweden”, Journal of Cleaner Production, vol. 195, pp. 1457-1467, 2018, doi: 10.1016/j.jclepro.2017.12.282.
  • [6] D. Zhao and Y.K. Mo, “Construction cost decomposition of residential building energy retrofit”, Buildings, vol. 13, no. 6, art. no. 1363, 2023, doi: 10.3390/buildings13061363.
  • [7] Y.F. Zhong, “Research on the difficulties and measures of cost management of old residential reconstruction project", Construction Economy, vol. 42, no. 03, pp. 60-63, 2021, doi: 10.14181/j.cnki.1002-851x.202103060.
  • [8] L. Jia, Q.K. Qian, F. Meijer, and H. Visscher, “Exploring key risks of energy retrofit of residential buildings in China with transaction cost considerations”, Journal of Cleaner Production, vol. 293, art. no. 126099, 2021, doi: 10.1016/j.jclepro.2021.126099.
  • [9] J. Adafin, J.O.B. Rotimi, and S. Wilkinson, “Risk impact assessments in project budget development: architects perspectives," Architectural Engineering and Design Management, vol. 12, no. 3, pp. 189-204, 2016, doi: 10.1080/17452007.2016.1152228.
  • [10] Q.H. Tang, J. Li, and W.S. Zhang, “Construction of risk network for green renovation of existing residential buildings and research on key risks–based on sustainability perspective”, Journal of Xi’an University of Technology, vol. 40, pp. 1-9, 2024.
  • [11] B.G. Hang, X. Zhao, Y.L. See, and Y. Zhong, “Addressing risks in green retrofit projects: the case of Singapore”, Project Management Journal, vol. 46, no. 4, pp. 76-89, 2015, doi: 10.1002/pmj.21512.
  • [12] L.H. Xian, Al-H Mohamed, Z. Lei, and Z. Ajweh, “Risk identification and assessment of modular construction utilizing fuzzy analytic hierarchy process (AHP) and simulation”, Canadian Journal of Civil Engineering, vol. 40, no. 12, pp. 1184-1195, 2013, doi: 10.1139/cjce-2013-0013.
  • [13] D.L. Zheng, L.J. Yu, L.Z. Wang, and J.G. Tao, “A screening methodology for building multiple energy retrofit measures package considering economic and risk aspects”, Journal of Cleaner Production, vol. 208, pp. 1587-1602, 2019, doi: 10.1016/j.jclepro.2018.10.196.
  • [14] Y. Meng and J.G. Niu, “Research on the influencing factors of cost management of older neighborhood renovation projects based on AHP-DEMATEL", Journal of Engineering Management, vol. 37, no. 05, pp. 75-80, 2023, doi:10.13991/j.cnki.jem.2023.05.014.
  • [15] F.Z. Zeng and X.J. Zhang, “Study on influencing factors of cost control of old residential area reconstruction project under epc mode", Construction Economy, vol. 44, pp. 245-247, 2023, doi:10.14181/j.cnki.1002-851x.2023S1245.
  • [16] L. Yang, “Research on cost risk management of future community epc projects from general contractors perspective", M.A. thesis, Zhejiang University, China, 2022.
  • [17] Y. Qi and P. Ni, “Analysis of factors affecting construction cost of structural reconstruction of existing buildings based on AHP”, Construction Economy, vol. 42, no. S1, pp. 116-119, 2021, doi: 10.14181/j.cnki.1002-851x.2021S1116.
  • [18] Z.Y. Xun, L.M. Zhang, and Z.Y. Zhao, “Cost risk evaluation of prefabricated buildings based on combined weighted cloud model”, Journal of Civil Engineering and Management, vol. 37, no. 06, 2020, doi: 10.13579/j.cnki.2095-0985.2020.06.002.
  • [19] Y.X. Wei, L. Bai, and S.Y. Si, “Identification and prevention of the vulnerability factors of old community renovation ppp projects based on social network analysis”, Journal of Engineering Management, vol. 36, no. 01, 2022, doi: 10.13991/j.cnki.jem.2022.01.013.
  • [20] X.Y. Lin and W.Y. Zhang, “Study on resurgence risk measure of comprehensive renovation in old residential community”, Journal of Xi’an University of Technology, vol. 40, pp. 1-12, 2024.
  • [21] H. Im, M. Ha, and D. Kim, “Development of an ontological cost estimating knowledge framework for epc projects”, KSCE Journal of Civil Engineering, vol. 25, pp. 1578-1591, 2021, doi:10.1007/s12205-021-1582-8.
  • [22] Z. Chen, W. Zhu, and P. Crama, “Subcontracting and rework cost sharing in engineering–procurement–construction projects”, International Journal of Production Economics, vol. 262, art. no. 108901, 2023, doi: 10.1016/j.ijpe.2023.108901.
  • [23] J. Su and S. Wang, “Analysis of influencing factors of environment quality in dalian based on grey correlation and systematic clustering”, Environmental Monitoring in China, vol. 40, no. 2, pp. 1-6, 2024.
  • [24] Q.H. Tu and Y.R. Cheng, “Study on air-rail combined passenger transport based on SEM-matter-element modal”, Journal of Railway Science and Engineering, pp. 1-13, 2024, doi:10.19713/j.cnki.43-1423/u.T20231601.
  • [25] Q.C. Fang and Z.Y. Li, “Research on risk assessment model of prefabricated building hoisting construction based on game theory and extension theory”, Journal of Safety and Environment, vol. 23, no. 01, 2023, doi: 10.1504/IJCAT.2022.130878.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-558fade7-1ccd-4d26-9c41-62cd56633bfb
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