Indian Journal of Science and Technology
DOI: 10.17485/ijst/2018/v11i7/97742
Year: 2018, Volume: 11, Issue: 7, Pages: 1-9
Original Article
Vinodkumar R. Patel1 *, H. R. Varia2 and Gargi Rajpara3
1 Civil Engineering, KSV, Gandhinagar – 382023, Gujarat, India; [email protected]
2 Tatva Institute of Technological Studies (GTU), Modasa – 383315, Gujarat, India; [email protected]
3 LDRP Institute of Technology and Research (KSV), Gandhinagar – 382015, Gujarat, India; [email protected]
*Author for correspondence
Vinodkumar R. Patel,
Civil Engineering, KSV, Gandhinagar – 382023, Gujarat, India,
[email protected]
Background/Objectives: To determine the factors influencing the trip generation for the selected industrial groups within the study area and to develop trip generation model. Methods/Statistical Analysis: To develop trip generation model considering all the affecting parameters for the future trips estimation, the industries are classified based on the plot area and numbers of employee. The model has been developed using multiple linear regression analysis using Statistical Package for the Social Sciences (SPSS), which establishes relationship between number of trips generated by the employees and the socio-economic attributes. Findings: A general model for trip generation has been developed. The model result gave an effective value of R2 equal to 0.99 , indicating that the explanatory variables such as area of industries, income of employee, travel distance, travel time and travel cost included in the model explain 99% of the dependent variable. Travel cost and travel time are the main factors affecting trip generation. Applications/Improvements: A more detailed research work is necessary to use this model for planning purpose. Reliable forecasting of future trips using this model can be done.
Keywords: Kadi, Trip Attraction, Trip Generation, Trip Production, Regression, SPSS
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