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008			200707t20192019my a|||fram|| 000 0 eng d
020			_aTHE0008705(Local) _qhardback
040			_aUMP _beng _cUMP _erda
090			_aFKASA .H35 2019 r Bc.
100	0		_aNur Haisera Idris, _eauthor.
245	1	0	_aExploring risk associated to public infrastructure projects case study of Kuala Terengganu by pass / _cNur Haisera Idris
264		1	_aKuantan, Pahang : _bUMP, _c2019
264		4	_c© 2019
300			_aix, 38 pages : _billustrations ; _c30 cm. + _e1 CD-ROM
336			_atext _2rdacontent
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
337			_acomputer _2rdamedia
338			_avolume _2rdacarrier
338			_acomputer disc _2rdacarrier
347			_atext file _bPDF _2rda
500			_aFaculty of Civil Engineering and Earth Resources
502			_aProject Paper (Bachelors of Civil Engineering) -- Universiti Malaysia Pahang – 2019
504			_aIncludes bibliographical references
520	3		_aThis study proposed an empirical study of risk assessment module for public road construction projects. This study employs a case study of a conventional road construction projects for Bypass Kuala Terengganu that has been initiated by the Ministry of Works Malaysia since July 2016. The projects involve the construction of 5.875km route from the state route Tok Molor, Jalan Tok Adis (T12) to Kampng Durian Burung at Federal route (FT03) Kota Bharu-Kuala Terengganu. Seven delay factors and twenty-two sub-factors were designated from a review of literature and consultations with public road experts. The designate pair-wise questionnaire survey was distributed to the road project team in accordance with the Analytic Hierarchy Process (AHP) technique. The delay risk was assessed quantitatively by prioritizing the risk delay factors in determining the critical construction phase. This study identified the top five most prioritized factors as follows: that the most prioritised risk factor in infrastructure projects with respect to goal is technical risk (0.11029), followed by environmental risk (0.23276), project risk (0.34834), and operational is (0.30861). The sub-factors weights were also ranked and the top five sub-factors will be further discussed. The table 4 shows uncertainty of weather (0.73289) as the top risk which is the main caused most of the delay project, followed by land acquisition issues (0.55465), late submission of approved for construction drawing causing delay in in project submission delay (0.39605), the new design does not consider existing drainage system causing flood (0.35202), and unexpected ground condition (0.30084). Therefore, the AHP method can be identified by classification weighted of the most prioritize risk in this project.
610	2	0	_aFaculty of Civil Engineering and Earth Resources _xDisertations
650		0	_aUniversities and colleges _xDisertations
650		0	_aTheses
942			_2lcc _cPSM