03099ntm a2200373 i 4500 0 0 lcc 0 1 REF 10000 10000 REF 2020-07-20 0 FKASA .R643 2019 r Bc. T000000858 2020-10-12 00:00:00 1 2020-07-20 PSM 0 0 lcc 0 0 REF 10000 10000 2020-07-20 0 CD12656 T000000859 2021-03-11 00:00:00 1 2020-07-20 PSM 92675 92681 MY-KuUP 20251125105600.0 t||||fr|||| 000 0 ta 200720t20192019my a|||fram|| 000 0 eng d THE0008782(Local) hardback UMP eng UMP rda FKASA .R643 2019 r Bc. Rohanatasha Rifin, author. Pavement surface condition attributed to traffic operations on federal roadways in Kuantan / Rohanatasha Rifin Kuantan, Pahang : UMP, 2019 © 2019 xi, 53 pages : illustrations (some color) ; 30 cm. + 1 CD-ROM text rdacontent text rdacontent unmediated rdamedia computer rdamedia volume rdacarrier computer disc rdacarrier text file PDF rda Faculty of Civil Engineering and Earth Resources Project Paper (Bachelors of Civil Engineering) -- Universiti Malaysia Pahang – 2019 Includes bibliographical references Pavement 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. Faculty of Civil Engineering and Earth Resources Disertations Universities and colleges Disertations Theses lcc PSM