000			03333ntm a2200277 a 4500
001			vtls000093776
003			KUKTEM
005			20251117113317.0
008			160310t2015 my da f ab m 000 0 eng d
020			_aTHE0001306(Local)
039		9	_a201905271630 _batie _y201603101249 _zasma
040			_aUMP
090			_aFTech .S53 2015 r Thesis
100	0		_aSharifah Awang
245	1	0	_aAn investigation on leading characteristics of RapidKuantan bus passengers using correspondence analysis / _cSharifah Awang
260			_aKuantan, Pahang : _bUMP, _c2015
300			_axviii, 137 p. : _bill. col. ; _c30 cm. + _e1 CD-ROM
500			_aFaculty of Engineering Technology
502			_aThesis (Master of Engineering (Civil Engineering)) -- Universiti Malaysia Pahang – 2015
504			_aBibliography : p. 105-108
520	3		_aKuantan facing huge transformation in their bus transportation system when most of the bus companies discontinue their operations because profitability issue and of the number of bus passengers has declined. The efforts to solve this problem have failed since Kuantan did not have detail information on bus and passengers characteristics. RapidKuantan was introduced in early 2013 and a study needs to be conduct to avoid the same issues. The travel data collected by previous study were not able to describe the leading characteristics of routes covered without the application of more rigours such as correspondence analysis. Researchers often use continuous data analysis (quantitative analysis) to perform the analysis. Some studies can be misleading in determining the correct method of analysing. This study shows how the analysis can be done for categorical travel data (qualitative analysis) using correspondence analysis which is a dimension reduction technique similar to factor analysis but extends factor analysis in handling of categorical data/variables. The leading characteristics for can be identified from correspondence analysis. The questionnaire survey was done for the selected routes in Kuantan and Pekan for one month. The questionnaire form was distributed at the bus stop and on the bus involving 1340 respondents. The study area was divided into four zones and different characteristics were determined for each zone. It can be summarised that the leading characteristics for bus passengers in Zone A (Pekan) were secondary student who from/to home, the bus passenger for Zone B (Gambang) were University student which were from/to shopping with time of return between 11 am to 1 pm, for zone C (Sungai Lembing) the bus passengers were from/to work and business with income less than RM2000 while passengers from zone D (Teluk Cempedak) mostly were from/to school and using bus once a while during weekend. At the end of this study, the strategies to improve bus ridership for each zone were proposed based on Transportation Handbook and Traffic Impact Assessment (TIA) method. This study would like to recommend future research to separate the inbound and outbound passengers when conducting data collection and analysis
610	2	0	_aFaculty of Engineering Technology _xDissertations
650		0	_aUniversities and Colleges _xDissertations
650		0	_aTheses
999			_aVIRTUA40 _c6505 _d6511
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