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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/33820

    Title: 計乘車配對共乘之需求預測與績效分析-以內湖科技園區為例
    Other Titles: Demand modeling of taxi ride-sharing : a case study of Neihu technology park
    Authors: 許智安;Hsu, Chi-an
    Contributors: 淡江大學運輸管理學系碩士班
    石豐宇;Shyr, Feng-yeu
    Keywords: 汽車共乘;需求模式;taxi ride-sharing;demand modeling
    Date: 2007
    Issue Date: 2010-01-11 04:34:32 (UTC+8)
    Abstract: 近年來歐美日等先進國家針對都會區尖峰通勤旅次所造成的交通壅塞、高通勤成本以及大量石油消耗等問題,而致力於汽車共乘(carpool)的研究,其理念與運輸需求管理中的高承載車輛(High Occupancy Vehicle, HOV)相近。台北都會區同樣面臨著嚴重的交通擁擠問題,但是由於缺乏積極推廣與其他因素刺激,使得私人汽車共乘風氣不盛。
    In recent years, developed countries like USA, EU and Japan devoted themselves in the practices and impact assessment of ridesharing in order to reduce high commuting cost and large fuel consumption during peak hours of commuting trips in metropolis. The idea of ridesharing is adopted as part of the promotion of High Occupancy Vehicles (HOV) to ease traffic jam. Though traffic jam problem is serious, the idea of ride-sharing is not popular in the Taipei metropolis because there is little promotion and almost no incentive for commuter to ride sharing.
    However, taxi ridesharing is an alternative of ride-sharing for commuters, especially for the users of public transit. It is often that taxi drivers pick up passengers who have nearby destinations in major bus transfer stations or MRT stations. By the implementation matching algorithm under the platform of CVO, we could match travelers who depart from and arrive at different locations but sharing similar routes to ride in the same taxi.
    In the literature review, we found that the characteristics of user as long as promotion and incentives, and user’s attitude toward ride-sharing are important factors in ride sharing practices. In this study we design a questionnaire to collect users’ responses of their ride-sharing experience during the 17-day experiment period. We analyze the data by using multivariate analysis methods to understand users’ gree of satisfaction regarding taxi-ridesharing and to explore the internal and external factor affecting the practices. Next, we apply Logit model to analyze the demand and to predict the trips transferred from various modes. As the result, we found that most of the users have medium income with no private car and motorcycle. Most of the transfers come from public transit users. Therefore, we could conclude that taxi-ridesharing is a supplement of public transit system.
    From the result of Logit model estimation, we found that travelers who pay the taxisharing fees have different between compared to those who did not pay the fees. And private auto ownership and transfer time are two factors as important as travel time, travel cost and income. Our study also suggests that taxi-ridesharing would significantly increase the usage of taxi. However, the daily external cost will increase by $50051 NTD(New Taiwan Dollar) due to the fact that as the main transferred trip comes from public transit. To analyze transfer behavior under various policy scenarios , we adjust the cost of motorcycle and car by 110%, 115%, and 120%. As the result, we found trips of motorcycles and cars will transfer to taxi by 6.1%, 6.3%, and 6.4%, public transit by 6.8%, 7%, and 7.1%, and taxi-rideshare by 0.30%, 0.31%, and 0.33%. The daily external cost will decrease $157364 NTD, $157586 NTD, and $157777 NTD respectively.
    Appears in Collections:[Graduate Institute & Department of Transportation Management] Thesis

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