MATEC Web Conf.
Volume 181, 2018The 1st International Symposium on Transportation Studies for Developing Countries (ISTSDC 2017)
|Number of page(s)||9|
|Section||Land Use and Transportation Sustainability|
|Published online||30 July 2018|
Trip attraction model of central market in Poso City based on multiple linier regression model
Sintuwu Maroso University, Department of Civil Engineering, Poso, Indonesia
2 Hasanuddin University, Civil Engineering Department, Gowa, Indonesia.
* Corresponding author : firstname.lastname@example.org
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 (Χ16) 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 Χ003D; 2.076 Χ002B;0.997 Χ6Χ002B;0.276 Χ13 Χ002B; 0.605 Χ15 Χ002B; 0.643 Χ16, where R2 Χ003D; 0.004 below 5% or tend to close to 0, so it can be concluded that the ability of independent variables in eΧplaining 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 Χ003D; 3.090 Χ002B; 0.250 Χ2 Χ002B;0.158 Χ6 Χ002B; 0.628 Χ15 Χ002B;0.050 Χ16 Χ002B;0.662 Χ17, where R2 Χ003D; 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 eΧplaining variation of variables is also very limited.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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