Mode choice analysis between LRT and car route Kebayoran Lama-Kelapa Gading

Tarumanagara International Conference on the Applications of Technology and Engineering

工业技术（总论）

Najid^1

Civil Engineering Department, Universitas Tarumanagara, Jakarta

11440, Indonesia^1

关键词: Analysis of data;    Data collection;    Determination coefficients;    Function regression;    Independent variables;    Stated preference method;    Travel costs;    Variable costs;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/508/1/012002/pdf
DOI  :  10.1088/1757-899X/508/1/012002

学科分类：工业工程学

来源: IOP

【 摘 要 】

Jakarta starts to develop LRT, one of them is Route Kebayoran Lama-Kelapa Gading. To know the demand potential of LRT at those route by use the mode choice analysis between LRT and Car. Data Collection use stated preference method that will explain the comparison LRT utility with car utility. Variables that use for figuring the utility are travel time, travel cost and waiting time. Collecting data is done by using a questionnaire given to respondents and was accompanied by a surveyor, so if there are things that are not understood by the respondents can be explained by the surveyor. Data obtained from respondents used to obtain the information needed in order to meet the objectives of the study researchers. In this study, analysis of data using linear regression analysis using SPSS. The purpose of this analysis is to get the value of R2 to determine which model is the best among the various models of the analysis done. The best model regression analysis is the model that has the best fit of the statistic's parameters. The best models are obtained by a process first tried various forms of independent variables to get the highest determination coefficient of linear equation function regression analysis. From the analysis has gotten F significant value is smaller than 0.05 for all variables which indicates that the value of the independent variable appreciable or significant or variable costs, travel time and waiting time significantly and simultaneously affect the public's willingness to use the LRT.