Open Access
Issue
E3S Web of Conf.
Volume 517, 2024
The 10th International Conference on Engineering, Technology, and Industrial Application (ICETIA 2023)
Article Number 05007
Number of page(s) 6
Section Sustainable Development
DOI https://doi.org/10.1051/e3sconf/202451705007
Published online 15 April 2024
  1. E. Ramadhani, N. Salwa, and M. S. Mazaya, “Identifikasi Faktor-Faktor yang Memengaruhi Angka Harapan Hidup di Sumatera Tahun 2018 Menggunakan Analisis Regresi Spasial Pendekatan Area,” Journal of Data Analysis, 3, (2), pp. 62–75, 2020. [Google Scholar]
  2. Kementerian Perencanaan Pembangunan Nasional/Badan Perencanaan Pembangunan Nasional, “Rencana Pembangunan Jangka Menengah Nasional 2020–2024.” Kementerian Perencanaan Pembangunan Nasional/Badan Perencanaan Pembangunan Nasional, Jakarta, 2019. [Google Scholar]
  3. M. R. Fakhrin, L. S. Riantini, and Y. Latief, “Risk-Based Institutional Evaluation of Trans Sumatera Toll Road Infrastructure Development to Improve Time Performance,” in International Conference on Global Optimization and Its Applications 2021, 2021, p. 196. [Google Scholar]
  4. T. Junoasmono, “INDONESIA ROAD SECTOR DEVELOPMENT. In D. G. O. H. M. O. P. W. A. H. R. O. INDONESIA (Ed.), On the 31st Japan Road Congress. Japan,” Dinas PU, 2015. [Google Scholar]
  5. V. Likhitruangsilp, S. T. Do, and M. Onishi, “A comparative study on the risk perceptions of the public and private sectors in public-private partnership (PPP) transportation projects in Vietnam,” Engineering Journal, 21, (7), pp. 213– 231, 2017. [CrossRef] [Google Scholar]
  6. T. D. Patel, T. C. Haupt, and T. Bhatt, “Fuzzy probabilistic approach for risk assessment of BOT toll roads in the Indian context,” Journal of Engineering, Design and Technology, 18, (1), pp. 251–269, 2020. [Google Scholar]
  7. A. Valipour, N. Yahaya, N. Md Noor, S. Kildienė, H. Sarvari, and A. Mardani, “A fuzzy analytic network process method for risk prioritization in freeway PPP projects: an Iranian case study,” Journal of Civil Engineering and Management, 21, (7), pp. 933–947, 2015. [CrossRef] [Google Scholar]
  8. V. L. Do Tien Sy, M. Onishi, and P. T. Nguyen, “Impacts of risk factors on the performance of public-private partnership transportation projects in Vietnam”. [Google Scholar]
  9. S. Pai, B. Patnaik, A. Mittal, and N. Anand, “Identification of risks causing time and cost overrun in roads and highway projects in India,” International Journal of Civil Engineering and Technology, 9, (3), pp. 683–697, 2018. [Google Scholar]
  10. J. Johnston, “Examining ‘tunnel vision ’ in Australian PPPs: Rationales, rhetoric, risks and ‘rogues,’” Australian Journal of Public Administration, 69, pp. S61–S73, 2010. [CrossRef] [Google Scholar]
  11. J. Johnston and A. Kouzmin, “Addressing governance, accountability and performance monitoring issues in partnerships: an infrastructure Australia provide a strategic response?,” Public Administration Quarterly, pp. 513–551, 2010. [Google Scholar]
  12. G. Castelblanco, J. Guevara, H. Mesa, and D. Flores, “Risk allocation in unsolicited and solicited road public-private partnerships: Sustainability and management implications,” Sustainability, 12, (11), p. 4478, 2020. [Google Scholar]
  13. X. Jiang, K. Lu, B. Xia, Y. Liu, and C. Cui, “Identifying significant risks and analyzing risk relationship for construction PPP projects in China using integrated FISM-MICMAC approach,” Sustainability, 11, (19), p. 5206, 2019. [Google Scholar]
  14. E. Jokar, B. Aminnejad, and A. Lorak, “Risk prioritization and selection of contractor participating in public-private partnership (PPP) infrastructure project using hybrid fuzzy AHP and fuzzy TOPSIS (case study: Saveh-Salafchegan freeway project),” Journal of Construction Engineering, Management & Innovation, 3, (1), pp. 1–16, 2020. [CrossRef] [Google Scholar]
  15. Y. Xu, J. F. Y. Yeung, A. P. C. Chan, D. W. M. Chan, S. Q. Wang, and Y. Ke, “Developing a risk assessment model for PPP projects in China—A fuzzy synthetic evaluation approach,” Autom Constr, 19, (7), pp. 929–943, 2010. [CrossRef] [Google Scholar]
  16. BPJT PU, “Analisis resiko investasi jalan tol.” Kementerian Pekerjaan Umum, Jakarta, 2005. [Google Scholar]
  17. R. D. Wirahadikusumah, B. Susanti, and B. W. Soemardi, “Risk in government’s estimate for toll road: based on investors’ perspective,” Int J Adv Sci Eng Inf Technol, 8, (2), pp. 475–482, 2018. [CrossRef] [Google Scholar]
  18. A. A. Ahmadabadi and G. Heravi, “Risk assessment framework of PPP-megaprojects focusing on risk interaction and project success,” Transp Res Part A Policy Pract, 124, pp. 169– 188, 2019. [Google Scholar]
  19. R. Garg and S. Rawat, “Analysis of Risk Assessment in Highway Projects Using Importance Index,” in IOP Conference Series: Materials Science and Engineering, IOP Publishing, 2021, p. 012157. [Google Scholar]
  20. Ž. Stević, G. Petrović, and D. Stanujkic, “Novel Rough Delphi Method for Determination Weights of Criteria,” in Proceedings of the 2nd International Conference on Management, Engineering and Environment (ICMNEE 2018), Belgrade, Serbia, 2018, pp. 11–12. [Google Scholar]
  21. G. A. Pratama, Y. Latief, B. Trigunarsyah, L. S. Riantini, and L. B. Sihombing, “Enhancing Risk Assessment in Toll Road Operations: A Hybrid Rough Delphi-Rough DEMATEL Approach,” Civil Engineering Journal, 9, (9), pp. 2130– 2144, 2023. [CrossRef] [Google Scholar]
  22. W. Jiang, C. Xie, M. Zhuang, and Y. Tang, “Failure mode and effects analysis based on a novel fuzzy evidential method,” Appl Soft Comput, 57, pp. 672–683, 2017. [CrossRef] [Google Scholar]
  23. L. Bing, A. Akintoye, P. J. Edwards, and C. Hardcastle, “The allocation of risk in PPP/PFI construction projects in the UK,” International Journal of Project Management, 23, (1), pp. 25– 35, 2005. [CrossRef] [Google Scholar]
  24. M. I. Syah, “Sertifikat tanah ganda akibat lemahnya data base pertanahan,” Jurnal Ilmiah Hukum Dirgantara, 4, (2), 2018. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.