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Comparison of Classic Regression Model and Geographically Weighted Regression Model in Trip Generation Models,Case Study in Shiraz

Yazdi, Payam | 2015

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 47219 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Kermanshah, Mohammad
  7. Abstract:
  8. Trip demand analysis is among the most important parts in comprehensive transportation studies. Developing four stage models including trip generation, trip distribution, mode choice, and assignment are so common in demand analyzing. In this study, trip generation models have been studied and to analyze data, two different methods including OLR and GWR are utilized. This study aims to examine relationship between aggregate zones in order to forecast future trips. Moreover, results of modeling trip generation with two different methods, OLR and GWR, are compared. Comparing different levels of aggregation reveals that as the number of zones decreases, the results get better. Decreasing number of zones in trip generation models increases coefficient of determination which shows better fitness and less errors for these models. Furthermore, decreasing the number of zones causes the results of GWR and OLR models to get closer. Comparing GWR and OLR trip generation models with Statistical hypothesis testing shows that GWR models leads to better results. Survey sample used in this study is the result of origin-destination survey for Shiraz which has been done by Transportation Institute of Sharif University of Technology in 1999
  9. Keywords:
  10. Trip Generation Model ; Geographically Wieghted Regression ; Shiraz ; Ordinary Linear Regression

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