@article{(Open Science Index):https://publications.waset.org/pdf/6433,
	  title     = {Multivariate School Travel Demand Regression Based on Trip Attraction},
	  author    = {Ben-Edigbe J and  RahmanR},
	  country	= {},
	  institution	= {},
	  abstract     = {Since primary school trips usually start from home,
attention by many scholars have been focused on the home end for
data gathering. Thereafter category analysis has often been relied
upon when predicting school travel demands. In this paper, school
end was relied on for data gathering and multivariate regression for
future travel demand prediction. 9859 pupils were surveyed by way
of questionnaires at 21 primary schools. The town was divided into 5
zones. The study was carried out in Skudai Town, Malaysia. Based
on the hypothesis that the number of primary school trip ends are
expected to be the same because school trips are fixed, the choice of
trip end would have inconsequential effect on the outcome. The
study compared empirical data for home and school trip end
productions and attractions. Variance from both data results was
insignificant, although some claims from home based family survey
were found to be grossly exaggerated. Data from the school trip ends
was relied on for travel demand prediction because of its
completeness. Accessibility, trip attraction and trip production were
then related to school trip rates under daylight and dry weather
conditions. The paper concluded that, accessibility is an important
parameter when predicting demand for future school trip rates.},
	    journal   = {International Journal of Humanities and Social Sciences},
	  volume    = {4},
	  number    = {6},
	  year      = {2010},
	  pages     = {1156 - 1160},
	  ee        = {https://publications.waset.org/pdf/6433},
	  url   	= {https://publications.waset.org/vol/42},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 42, 2010},