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An analysis on the effect of using incentives for motivating fuel-efficient driving

Abstract
The escalating fuel price in Taiwan has prompted the transportation industry
to explore renewable energy sources for fuels, but what is more urgent at this
stage is to improve transportation efficiency to cut transportation costs. The aim
of this study is to implement fuel-efficient rewards to modify driving behavior,
thereby improving fuel efficiency. The outcome of this strategy is not only about
slowing down greenhouse gas production, but also a reduction of fuel costs of
transportation companies.
Every year highway bus companies consume millions of liters of fuel, and
their fuel costs often exceed hundreds of millions of dollars. Therefore, how to
conserve on fuel consumption has become an important issue for all of the bus
companies. However so far, besides the eventual fuel savings data, there is still a
lack of objective methods to evaluate the execution of such conservation
programs. the project will use the ¡§Motivation-Opportunity-Ability Method¡¨
¡]MOA¡^to develop an analysis model; verification of dynamic data analysis
will be conducted using Single or Multilevel Structural Equation Modeling
(Multilevel SEM).
According to the above research results show that Taken together the
investigators suggest those public as well as private transportation companies
that have not implemented fuel-efficient related policies to start planning
fuel-efficient reward programs and implementing the programs as soon as
possible. Furthermore, transportation companies should give courses about
environmental driving to teach drivers correct environmental-friendly driving as
well as award or publicly praise fuel-efficient drivers. These strategies will bring
good outcome for drivers, transportation companies, and environmental
protection.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0909112-202311
Date09 September 2012
CreatorsCheng, Tun-Yu
Contributorsnone, Wen-Tai Lai, none, Jih-Hwa Wu
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageCholon
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0909112-202311
Rightsuser_define, Copyright information available at source archive

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