Advances in SP Techniques and Applications in Transport
| Project/Area Number |
07044155
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| Research Category |
Grant-in-Aid for international Scientific Research
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| Allocation Type | Single-year Grants |
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| Section | Joint Research |
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| Research Institution | HIROSHIMA UNIVERSITY |
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Principal Investigator |
SUGIE Yoriyasu Hiroshima University, Professor, 大学院・国際協力研究科, 教授 (70034410)
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| Co-Investigator(Kenkyū-buntansha) |
FUJIWARA Akimasa Hiroshima University, Associate Professor, 大学院・国際協力研究科, 助教授 (50181409)
POLAK John Imperial College, Associate Professor, 助教授
JONES Peter University of Westminster, Professor, 環境学部, 教授
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| Project Period (FY) |
1995
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| Project Status |
Completed (Fiscal Year 1995)
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| Budget Amount *help |
¥3,000,000 (Direct Cost: ¥3,000,000)
Fiscal Year 1995: ¥3,000,000 (Direct Cost: ¥3,000,000)
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| Keywords | Stated Preference / Travel Demand Analysis / Mode Choice / Logit Model / Pre-trip Information |
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| Research Abstract |
The influence of pre-trip information at home on travelers'choice behavior was examined. Choice data for departure time, destination, travel mode and route were obtained from 200 respondents who commute from Higashi-Hiroshima to Hiroshima city center by stated preference experiments. Higashi-Hiroshima is located about-30^- 40km east of Hiroshima and their main modes for commuting are car and rail. The experiment was set up on the assumption that information on travel time, cost, congestion and wait time at car parks for work and shopping trips was presented before leaving home.
Discrete choice models of the logit type were developed within the context of mode and departure time choices. Firstly, the estimation results of mode choice models indicated that the level of travel service given by pre-trip information is approximately four times more important than the daily experienced level. It was also shown that the estimated weight for informed values under unusual cndition is similar to
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that under usual condition. The second fact obtained was that traveler's mode choice behavior for unusual conditions can be described with a higher level of accuracy by including pre-trip information in modeling than that for usual conditions. The information is especially important and effective under such travel conditions. Finally, by developing nested logit models for mode and departure time choice, it was found that there exists a difference in travelers'choice structure between usual and unusual travel conditions. Travelers tend to decide their departure time and travel mode at the same time for usual cases, while they decide mode choice before departure time choice for unusual cases.
These results for work trips may be somewhat different from discretionary trips, such as shopping and personal business. Furthermore, it is necessary to examine the influence of travel information on destination choice behavior from the viewpoint of re-distribution of travel demand in space.dThese two subjects will be addressed consecutively using the same data collected for this study. Less
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Report
(1 results)
Research Products
(4 results)
