Abstract
With analysis of the joint choice features of travel time and travel mode, the paper develops two nested Logit (NL) models on commuters' travel time and travel model choice behavior. The data from the 2005 Beijing household travel survey are used to estimate the two models by the BIOGEME. The structure of the NL model is identified by the inclusive value parameter, and the result reveals the travel time-travel mode model is more reasonable than the travel mode-travel time model, which indicates that the commuters always choose the travel time at first and then consider the travel mode under the time constrain. Moreover, the parameters of travel time-travel mode model are calibrated and analyzed. The joint choice features of travel time and travel mode are further discussed, which provides theory basis for relevant management policy making during peak time.
| Original language | English |
|---|---|
| Pages (from-to) | 126-131 |
| Number of pages | 6 |
| Journal | Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/ Journal of Transportation Systems Engineering and Information Technology |
| Volume | 12 |
| Issue number | 2 |
| Publication status | Published - Apr 2012 |
Keywords
- Commuting
- Nested Logit (NL) model
- Travel mode
- Travel time
- Urban traffic
