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999 _c92675
_d92681
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006 t||||fr|||| 000 0
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008 200720t20192019my a|||fram|| 000 0 eng d
020 _aTHE0008782(Local)
_qhardback
040 _aUMP
_beng
_cUMP
_erda
090 _aFKASA .R643 2019 r Bc.
100 0 _aRohanatasha Rifin,
_eauthor.
245 1 0 _aPavement surface condition attributed to traffic operations on federal roadways in Kuantan /
_cRohanatasha Rifin
264 1 _aKuantan, Pahang :
_bUMP,
_c2019
264 4 _c© 2019
300 _axi, 53 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 _aPavement damages are always associated with its optimum function and may contribute to road crashes. A huge amount of money continuously spent on road maintenance due to this pavement damages. There are several factors that influenced the pavement damages such as weather changes, quality of material in construction, improper maintenance and traffic operations. This study was conducted to explore the pavement damage contribute factors based on traffic operations. In terms of traffic loading and traffic volume as a centre for critical analysis. To achieve this study, the data was obtained from RoadCare and JKR by using secondary data and questionnaire distribution. There were three selected Federal Route (FR) in Kuantan as the study location which are Federal Route 2, Federal Route 3 and Federal Route 183. To achieve the first objective of this study, descriptive statistic was used. From the data analyses, the most common pattern pavement damages occurred was potholes based on the data analyses. As for the second objective, the data was analyzed by using inferential statistics. From the result, the first element shows there is positive correlation but not significant between traffic volume and pavement damages with the highest value r is 0.987 on the FR3 with a p-value of 0.101 which is more than 0.05 and not acceptable. For the second element the result shows the positive relationship and significant between traffic loading and pavement damages for FR 183 with the r value is 1.0 means strongly positive and the lowest p-value with 0.00. The result shows that traffic operations influences to pavement damages but not certainly significant because of others factors such as heavy rainfall weakens road structure and low quality in materials used in construction.
610 2 0 _aFaculty of Civil Engineering and Earth Resources
_xDisertations
650 0 _aUniversities and colleges
_xDisertations
650 0 _aTheses
942 _2lcc
_cPSM