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Analysis of trip attraction in shopping centers is one of the most important aspects of travel demand management (TDM) in developing countries. This research aims to describe significant factors that influence people in obtaining their choice of frequency. Variables used in this research are family’s socio-demographic variables, properties of trip to shopping centers, nature of selecting trip time, and ways to travel. This research adopts multinomial logit model by modeling or building causal relationship between significant variables that influence trip frequency. The findings show that on holiday, no variable has significant influence towards the trip attraction of visitor movement at the Poso Central Market, while on workday, shopping cost (X16) has become the most influential variable. Based on the regression equation, the trip attraction of visitor movement model at the Poso Central Market on holiday is Y = 2.076 + 0.997 X6 +0.276 X13 + 0.605 X15 + 0.643 X16, where R2 = 0.004 below 5% or tend to close to 0, so it can be concluded that the ability of independent variables in explaining variation of variables is very limited. Meanwhile, the regression equation on the trip attraction of visitor movement model at the Poso Central Market on workday is Y = 3.090 + 0.250 X2 +0.158 X6 + 0.628 X15 +0.050 X16 +0.662 X17, where R2 = 0.030 below 5% or tend to approach to close to 0, so it can be concluded that the ability of independent variables in in explaining variation of variables is also very limited.

Trip attraction model of central market in Poso City based on multiple linier regression model