Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Robert L. K. Tiong"'
Publikováno v:
Engineering, Construction and Architectural Management. 29:3267-3287
PurposeAs a pillar of integrated digital delivery (IDD), building information modeling demonstrates the tremendous potential to enhance productivity for the architectural, engineering and construction (AEC) industry worldwide. However, the implementa
Publikováno v:
Journal of Construction Engineering and Management. 148
Public–Private Partnership Contract Failure Prediction Using Example-Dependent Cost-Sensitive Models
Autor:
Yongqi Wang, Robert L. K. Tiong
Publikováno v:
Journal of Management in Engineering. 38
Failure of a public–private partnership (PPP) contract could cause heavy losses to sponsors. However, the current machine learning models neglect misclassification costs when predicting PPP...
Publikováno v:
Sustainability; Volume 13; Issue 24; Pages: 14012
Sustainability, Vol 13, Iss 14012, p 14012 (2021)
Sustainability, Vol 13, Iss 14012, p 14012 (2021)
PPP withdrawal policy is helpful to reduce over-investment in PPPs leading to sustainable development. However, little is known about the role of local governments on over-investment in PPPs. Using the PPP Project Platform Data, a unique dataset, thi
Public–private partnership (PPP) is increasingly encouraged to deliver public services in developing countries. Many studies have been conducted to identify factors that affect PPP contract failure. Although a country's PPP experience is of great i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae421309fd3ce8e096182b7ff4187e67
https://hdl.handle.net/10356/160263
https://hdl.handle.net/10356/160263
The public-private partnership (PPP) has been adopted by many governments in developing countries to provide better public services. However, PPP projects have a high risk of contract failure. To proactively predict PPP contract failure and obtain th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7abfb010f05ba97ff3c8cb7762c9f087
https://hdl.handle.net/10356/160451
https://hdl.handle.net/10356/160451
Publikováno v:
Journal of Construction Engineering and Management. 146
The construction industry is embracing the digital transformation to streamline the process from design to build. However, compared with design companies, precast concrete (PC) companies seem to be slow in the adoption of building information modelin
A deeper understanding of collaboration among various stakeholders is imperative towards the success of the Building Information Modelling (BIM) enabled project delivery. A systematic research framework is proposed to properly analyze dynamic changes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44f12904113169f6636143188fe6b368
https://hdl.handle.net/10356/161071
https://hdl.handle.net/10356/161071
This research develops a cross-scale convolutional spatial generative adversarial network (CSGAN), in order to estimate the crowd density from images accurately. It consists of two similar generators, one for the whole feature extraction, and the oth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d5d8a251ba0ca34c7b7ad087e4ccb4e
https://hdl.handle.net/10356/161128
https://hdl.handle.net/10356/161128
Bayesian network (BN) is a popularly used approach for risk analysis. Because it is a graphic model being able to deal with randomness yet unable to model ambiguity, the fuzzy set theory is often combined with it to create a so-called fuzzy BN. Inste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26d36d43ca20771a584222f05d294456
https://hdl.handle.net/10356/154426
https://hdl.handle.net/10356/154426