A Study on the Route Choice Behavior Model of Car Drivers
| Autor: | Cheng, Hung-Ming, 鄭鴻明 |
|---|---|
| Rok vydání: | 1997 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 85 The purpose of this study is to observe the important variables that will effect the route choice behavior of car drivers in Taipei Urban Area. We collected the related data of route choice behavior and then classify them by trip origin and destination, to construct proper route choice behavior models of car drivers in Urban Area Taipei. In this study we used two-step survey. First we collected the important variables that will effect the route choice behavior of car drivers in Taipei Urban Area. Then we used previously results to design next survey. In this survey, we collected the revealed preference data and stated preference data. The revealed preference data includes real route and substitute route; The stated preference data means the route which car drivers select when face an especially transportation situation. We also collected some personal basic data of answers just as age, sex, income and so on; some data of using car situation and trip characters. This study used Logit model to construct route-choice behavior models according to different route choice set and personal basic data and trip characters data. Finally, we construct a positive study. It used the ID3 algorithm that is one kind of knowledge acquisition of expert analysis system to construct a really case study in Taipei Urban Area. According to this study, we can find the following results: 1. After cross analysis and testing of statistical hypothesis the personal basic data and trip characters data totally 17 items, we find that ''occupation'' is most related with other items, and that ''fully insurance'' and ''sex'' are least related with other items. 2. Generally speaking, running speed and really running distance are most important variables in deciding car drivers'' route choice behavior, then are traffic information provided and left-turn numbers. In the personal basic data, sex, age, traffic expense and income are more important variables. In the trip characters data, trip time, car age, fully insurance, displacement (c.c.), owner of car, and changes route situations are more important variables. The Rho-squre value (ρ2) appears good in every model,they show that these models are proper in Taipei Urban Area. 3. In the positive case study, if we control the attributes to 3 or 4, the forecast successful rates of inductive decision tree are more than 50%, they show that ID3 algorithm is a utility method in forecasting route-choice behavior of car drivers. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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