000 02773ntm a2200349 i 4500
001 vtls000103765
003 KUKTEM
005 20251117113402.0
008 180604s2018 my a f am 000 0 eng d
020 _aTHE0001331(Local)
039 9 _a201905141044
_basmadi
_y201806041523
_znazri
040 _aUMP
_beng
_cUMP
_erda
090 _aFTeK .A97 2018 r Bc.
100 0 _aNor Azreen Zabir,
_eauthor.
245 1 0 _aEnvironmental factors affecting commuting accident in public university Kuantan, Pahang /
_cNor Azreen Binti Zabir
264 1 _aKuantan, Pahang :
_bUMP,
_c2018
300 _axvi, 41 pages :
_billustrations (some color) ;
_c30 cm. +
_e1 CD-ROM
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
337 _acomputer
_2rdamedia
338 _avolume
_2rdacarrier
338 _acomputer disc
_2rdacarrier
347 _atext file
_bPDF
_2rda
500 _aFaculty of Engineering Technology
502 _aProject Paper (Bachelor of Occupational Safety and Health with Honours) -- Universiti Malaysia Pahang – 2018
504 _aIncludes bibliographical references
520 3 _aThe purpose of this study is to identify factors that may cause commuting accident among staffs in Universiti Malaysia Pahang (UMP). The number of road accidents continues to grow rapidly every year in Malaysia. However, the unseen fact is the number of road victims mentioned is come from the commuting accident. According to the statistic from Social Organisation (SOCSO), number of industrial accidents is diminishing from 35,898 in 2013 and 35,294 in 2014 meanwhile the number of commuting accident rise up from 27,659 in 2013 and 28,037 in 2014. The objective of this study is to identify whether environmental factors is contributing to the commuting accident or not. The factors listed in this study are time of day, weather, road condition, road design, road lanes and infrastructure. Thus, a questionnaire is distributed among staffs in UMP to be answered by those who involved in accident from 2013 to 2017. Data from the questionnaires is analysed by using Statistical Package for the Social Sciences (SPSS) and the Spearman’s Rho method is used to find the correlation between environmental factors with commuting accident. The result shows that there is strong correlation between time of day with commuting accident which p-value (0.006). Therefore, the government and employer should propose some recommendations to decrease the number of commuting accidents.
610 2 0 _aFaculty of Engineering Technology
_xDissertations
650 0 _aUniversities and colleges
_xDisertations
650 0 _aTheses
999 _aVIRTUA40
_c7770
_d7776
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2640*3000*3360*3370*3371*3380*3381*3470*5000*5020*5040*5200*6100*6500*6501*9992