A Study on the Impacts of Intelligent Transportation Technologies on Cost and Productivity of Feeder Bus Transit in Taipei City / 推動智慧型運輸技術對台北市捷運接駁公車成本與生產力之影響

碩士 / 淡江大學 / 運輸管理學系碩士班 / 95 / Basically, the feeder bus transit will improve transit convenience and accessibility within the MRT and Bus to form a integral public transportation network and extend the service area of public transportation system. The feeder bus transit gives service to people so far, it cannot be as usual joint operation bus lines. Hence, we would like to know that what the operation efficiency of feeder bus transit is. Also according to the sustainable development whether the ITS will be the key to lower the operation cost and improve the operation efficiency.

The information which we collected included the costs and operating data of bus routes from nine bus operators of Taipei City. Regarding to the cost based, we made use of the fixed effects from the Stochastic Frontier Cost Function discussed each bus operator’s operation and cost efficiency covered by the economic efficiency, factor prices, economies of scale , and total factor productivity.

The results indicate that first, Taipei bus is the most efficiency bus operator. Secondly, technological progress of the feeder bus transit isn’t neutral. Thirdly, the result of Feeder Bus Transit is increasing returns to scale during the research. Fourthly, the total factor productivity is 0.0433 which shows that it is a positive growth of the productivity, and the main influence is technological progress.

Moreover, we discussed how much the cost and benefit will happen after introduced ITS. Based on the factor prices and other APTS references, we did the scenario analysis for the production of the bus operators. It shows that the total factor productivity of the feeder bus transit will be about 0.0623 which is a positive growth if the bus operators introduced the fleet management systems. If they use the bus priority signal system, it will be 0.1281, also if they use both systems, the production will rise to 0.1301.

Identiferoai:union.ndltd.org:TW/095TKU05425002
Date January 2007
CreatorsHong-Ming Chang, 張宏銘
ContributorsDun-Ji Chen, 陳敦基
Source SetsNational Digital Library of Theses and Dissertations in Taiwan
Languagezh-TW
Detected LanguageEnglish
Type學位論文 ; thesis
Format108

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