THE REGRESSION MODEL IN THE FORECAST OF TRAVEL DEMAND IN AKURE, NIGERIA

THE REGRESSION MODEL IN THE FORECAST OF TRAVEL DEMAND IN AKURE, NIGERIA

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This paper examined the application of regression model in the forecast of travel demand in cities using klaire labs ashwagandha Akure as a reference point.The aim is to examine the effectiveness of regression model in predicting travel demand in any urban environment.The data used for this study was derived from a larger study of Akure and the data were collected in respect of household size, income, number of people owing motorcycle, number of people with personal vehicles, waiting time at bus stop and walking time from house to bus stop as independent variables, while trips to work places, business centers, educational centers, social centers, religious centers, medical centers were also regarded as dependent variables.

Correlation matrix of the dependent and independent variables were carried out using stepwise multiple regressions.The regression was used to enable the researcher find the best read more linear prediction equation for travel demand in Akure.The stepwise multiple regressions adapted was a search procedure that identified the independent variables that possessed strong relationship with the dependent variable, at 0.

05 significant level, the total trip accruing from all trips purposes as defined under dependent variable Y1 to Y6 referred to as aggregate trips showed that income is very important in determining travel demand with an equation of this type Y1=2575.25+125.27X6.

It was however discovered that a lot of problems beset the use of statistics in geographic studies.The model exposes some short coming inherent in the application of regression analysis to studies in geography.