近年來，台灣地區都市運輸規劃研究偏向於單一都市旅運行為的分析，對於都市之間旅運行為差異比較，更是鳳毛麟角。本研究以拋磚引玉的方式，將台灣地區三個都會區以資料蒐集分類成五大都會區，並討論工作者對於平常日工作旅次行為的特性;一方面分析，一方面將各都市結果進行現象比較。而對於工作者旅運行為分析上，本研究將之分成兩大部分：
第一部份以第四章為主，利用統計軟體spss將各都市工作旅次資料分別與具有影響之工作者社經特性變數、工作者旅次特性變數等，建立分析項目而得出各都會區不同時期同項目的分析結果。
第二部份乃本文第五章，利用VB編寫巨集，將台南80年期抽得6231個家戶、台南89年度樣本10892個家庭、台北89年度7883個家庭、台北81年度27500個樣本家戶以及高雄86年度12173個家庭的工作者的旅次資料轉換成旅次鏈資料格式，並以統計方法將各都市工作者家基工作與返家工作旅次鏈分別進行相關檢定與現象差異討論與整裡;研究並將工作者於第一目的旅次與第二目的旅次之使用運具進行運具鏈的分析，最後將第四章、第五章分析總結，說明台北、台南、高雄三都會各期資料工作者平常日旅運行為的異同，並提出研究建議。

Recently, about the transportation planning of the cities in Taiwan were partial to a single city of traveler behavior analysis. In opposition to compare the defference of transportation traveler behavior between the cities were extremely few.This study will discuss the characteristics of work trips that workers on normal day, in three cities with five periods in Taiwan.
We will analyze and at the same time we will compare the result of the phenomenons each city. About the analysis of the workers travelling behavior this study will separate two sections :
The first section is the fourth chapter, use statistics sofeware Spss to build up analysis articles by taking work trips data of each city with some influenced variables of workers socio-economic vriables、workers trips characteristic variables etc. to build up analysis articles and get some ananyzed results in each different period city.
The second section is the fifth chapter, use the VB program, we sampled 6231 households in Tainan the 80 yearly period、10892 households in Tainan the 89 yearly period、7883 households in Taipai the 89 yearly period、27500 househods in Taipai the 81 yearly period and 12173 households in kaohsiung the 86 yearly period workers trips data and transformed the form of trips-chain data, and use statistics to proceed correlation test and the defferences of phenomenons discuss with workers home-base and return home work trips-chain in each city.
This study will make analysis of rolling stocks-chain that wokers used to make the first trip and the second trip. Finally we’ll summarize the analysis of the fourth chapter and the fifth chapter, and make a description of difference of workers traveling behavior on normal day in every period data of Taipai、Tainan、Kaohsiung three cities, and propose.

中文部分

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英文部分

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6. Maria Nilsson *，Rikard K uller，Travel
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for Human-Centered Transportation Systems
8. Gerard Walters, P.E.,Principal, Fehr & Peers
Associates, Inc. Associate Member ITE，PEAK HOUR
TRAFFIC GENERATIONFOR MIXED-USE DEVELOPMENT
AREAS*
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11.1990 NPTS NATIONWIDE PERSONAL TRANSPORTATION
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travel behavior Xuedong Lu, Eric I.Pas Duke
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15.Retrospective and Prospective Survey of Time-Use
Research Bhat ,C. R. ,and F. S. Koppelman at
78th Annual Meeting of the Transportation
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Activity Patterns Sachin Gangrade, Krishnan
Kasturirangan, and Ram M. Pendyala
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18.Evaluating the Effects of Traveler and Trips
Characteristics on Trip Chaining, with
Implications for Transportation Demand
Management Strategies Breet Wallace, Jennifer
Barnes, and G.Scott Rutherford transportation
Research Record 1718
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J.Miller, Peter Dalton ,Reuben Briggs Joint
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