000 02813ntm a2200373 i 4500
999 _c92555
_d92561
003 MY-KuUP
005 20251125105551.0
006 t||||fr|||| 000 0
007 ta
008 200709t20192019my a|||fram|| 001 0 eng d
020 _aTHE0008721(Local)
_qhardback
040 _aUMP
_beng
_cUMP
_erda
090 _aFKASA .A343 2019 r Bc.
100 0 _aPutri Aifa Syuhaida Shabuddin,
_eauthor.
245 1 0 _aRisk assessment of public road construction projects using analytical hierarchy process (AHP) /
_cPutri Aifa Syuhaida Shabuddin
264 1 _aKuantan, Pahang :
_bUMP,
_c2019
264 4 _c© 2019
300 _axi, 59 pages :
_billustrations (some color) ;
_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 _aHighways or road construction project are one of the public infrastructure project that are important for social economic development. Due to this reason Malaysia government paying much more attention to these projects. Even though appropriate measurement taken, there is still great probability of risk to occur which places the road construction project at risk of cost, time overruns and poor quality delivery. The aim of this study was to analyze the risk assessment of public road construction projects. The factors and sub-factors of risk in public road construction project were scrutinized from the literature review. The designate pair-wise questionnaire survey was distributed to the road engineering section of public work department, road contractors and road concessionaires in accordance with the Analytic Hierarchy Process (AHP). This study identified the most prioritized risk factors as follows: economic and financial (0.267), technical (0.165), organizational (0.148), contractual (0.130), natural hazard (0.125), socio and politic (0.086) and resources (0.079). The risk sub-factors were also ranked and the top five sub-factors were determined as follows: flood (0.633), inflation risk (0.561), changes in government law and regulation (0.543), lack coordination between parties (0.467), fund risk (0.439). It is expected that the data presented in this study can be used to strategically select elements for risk monitoring on the prioritization risk.
610 2 0 _aFaculty of Civil Engineering and Earth Resources
_xDisertations
650 0 _aUniversities and colleges
_xDisertations
650 0 _aTheses
942 _2lcc
_cPSM