4.6 Article

Green Driver: Travel Behaviors Revisited on Fuel Saving and Less Emission

期刊

SUSTAINABILITY
卷 10, 期 2, 页码 -

出版社

MDPI
DOI: 10.3390/su10020325

关键词

driver travel behavior; green driver; driver assessment; eco driving; fuel consumption; tailpipe emission; road transportation

资金

  1. Malaysia Ministry of Science Technology and Innovation (MOSTI) [R.J130000.7922.4S123]
  2. Research Management Center at Universiti Teknologi Malaysia

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Road transportation is the main energy consumer and major contributor of ever-increasing hazardous emissions. Transportation professionals have raised the idea of applying the green concept in various areas of transportation, including green highways, green vehicles and transit-oriented designs, to tackle the negative impact of road transportation. This research generated a new dimension called the green driver to remediate urgently the existing driving assessment models that have intensified emissions and energy consumption. In this regard, this study aimed to establish the green driver's behaviors related to fuel saving and emission reduction. The study has two phases. Phase one involves investigating the driving behaviors influencing fuel saving and emission reduction through a systematic literature review and content analysis, which identified twenty-one variables classified into four clusters. These clusters included the following: (i) FEf1, which is driving style; (ii) FEf2, which is driving behavior associated with vehicle transmission; (iii) FEf3, which is driving behavior associated with road design and traffic rules; and (iv) FEf4, which is driving behavior associated with vehicle operational characteristics. The second phase involves validating phase one findings by applying the Grounded Group Decision Making (GGDM) method. The results of GGDM have established seventeen green driving behaviors. The study conducted the Green Value (GV) analysis for each green behavior on fuel saving and emission reduction. The study found that aggressive driving (GV = 0.16) interferes with the association between fuel consumption, emission and driver's personalities. The research concludes that driver's personalities (including physical, psychological and psychosocial characteristics) have to be integrated for advanced in-vehicle driver assistance system and particularly, for green driving accreditation.

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