Development of Regional Industrial Trip Generation Model Using SPSS
| Autor: | Gargi Rajpara, Vinodkumar R. Patel, H. R. Varia |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Estimation
050210 logistics & transportation Multidisciplinary Variables Computer science media_common.quotation_subject 05 social sciences 0211 other engineering and technologies 021107 urban & regional planning 02 engineering and technology Transport engineering Work (electrical) 0502 economics and business Trip generation media_common |
| Zdroj: | Indian Journal of Science and Technology. 11:1-9 |
| ISSN: | 0974-5645 0974-6846 |
| DOI: | 10.17485/ijst/2018/v11i7/97742 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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