A Study on The Behavior of Disaggreate Travel Route Choice and Diversion Propensity Models
碩士 === 國立成功大學 === 交通管理(科學)學系 === 82 === The purpose of this study is to observe the important variables that will affect the route choice and route diversion propensity behavior of radio-taxi and car drivers in Tainan Area.We collected the reve...
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ndltd-TW-082NCKU01190072015-10-13T15:33:33Z http://ndltd.ncl.edu.tw/handle/16354555441000409985 A Study on The Behavior of Disaggreate Travel Route Choice and Diversion Propensity Models 個體旅行路線選擇與轉移傾向行為模式之研究 Jiin-Long,Leu 呂錦隆 碩士 國立成功大學 交通管理(科學)學系 82 The purpose of this study is to observe the important variables that will affect the route choice and route diversion propensity behavior of radio-taxi and car drivers in Tainan Area.We collected the revealed preference data of route choice behavior and stated preference data of route diversion propensity and used them to construct proper models. This study used logit model, poisson regression model and ordered probit model to construct route choice and diversion models according to different trip purpose, different market segmentation and different data.We found the following results: 1.Due to limited traffic information in Tainan Area, the effect of traffic information is not clear. 2.Of all route choice models,the models estimated by logit model were best.Of all route diversion propensity models ,the models estimated by ordered probit model were better. 3.Generally speaking,travel time is a very important varable in deciding car drivers'' route choice and diversion behavior. The influence of social economic variables were not significant. 4.The effect of different trip purpose on car drivers'' route choice behavior were not significant, but the effect of market segmentation were significant. Liang-Shyong,Duann 段良雄 1994 學位論文 ; thesis 117 zh-TW |
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碩士 === 國立成功大學 === 交通管理(科學)學系 === 82 === The purpose of this study is to observe the important
variables that will affect the route choice and route
diversion propensity behavior of radio-taxi and car drivers
in Tainan Area.We collected the revealed preference data of
route choice behavior and stated preference data of
route diversion propensity and used them to construct proper
models. This study used logit model, poisson regression
model and ordered probit model to construct route choice
and diversion models according to different trip purpose,
different market segmentation and different data.We found the
following results: 1.Due to limited traffic information in
Tainan Area, the effect of traffic information is not clear.
2.Of all route choice models,the models estimated by logit
model were best.Of all route diversion propensity models ,the
models estimated by ordered probit model were better.
3.Generally speaking,travel time is a very important varable
in deciding car drivers'' route choice and diversion behavior.
The influence of social economic variables were not
significant. 4.The effect of different trip purpose on car
drivers'' route choice behavior were not significant, but the
effect of market segmentation were significant.
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author2 |
Liang-Shyong,Duann |
author_facet |
Liang-Shyong,Duann Jiin-Long,Leu 呂錦隆 |
author |
Jiin-Long,Leu 呂錦隆 |
spellingShingle |
Jiin-Long,Leu 呂錦隆 A Study on The Behavior of Disaggreate Travel Route Choice and Diversion Propensity Models |
author_sort |
Jiin-Long,Leu |
title |
A Study on The Behavior of Disaggreate Travel Route Choice and Diversion Propensity Models |
title_short |
A Study on The Behavior of Disaggreate Travel Route Choice and Diversion Propensity Models |
title_full |
A Study on The Behavior of Disaggreate Travel Route Choice and Diversion Propensity Models |
title_fullStr |
A Study on The Behavior of Disaggreate Travel Route Choice and Diversion Propensity Models |
title_full_unstemmed |
A Study on The Behavior of Disaggreate Travel Route Choice and Diversion Propensity Models |
title_sort |
study on the behavior of disaggreate travel route choice and diversion propensity models |
publishDate |
1994 |
url |
http://ndltd.ncl.edu.tw/handle/16354555441000409985 |
work_keys_str_mv |
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