Literature DB >> 25604541

A decision ladder analysis of eco-driving: the first step towards fuel-efficient driving behaviour.

Rich C McIlroy1, Neville A Stanton.   

Abstract

This paper provides a decision ladder analysis of eco-driving, and a discussion of the resultant models in terms of the skills, rules and knowledge taxonomy of human behaviour and how this can inform the design of an in-vehicle, eco-driving support system. In order to understand the types of behaviours that characterise fuel-efficient driving, a review was conducted of the academic literature and of more publicly available resources, such as governmental, car manufacturers' and specific eco-driving organisations' websites. The review identified four largely distinct driving activities that play a central role in the use of fuel in the private road vehicle. A focus group involving four researchers in the transport ergonomics field, followed by a series of five interviews with eco-driving experts, served to validate, supplement and further specify the models. Practitioner Summary: This paper presents a decision ladder analysis of eco-driving. A four-member focus group and five interviews with eco-driving experts were conducted; the resultant models are discussed in terms of supporting fuel-efficient driving behaviours in the novice eco-driver through their potential to inform the design of an in-vehicle eco-driving support system.

Entities:  

Keywords:  decision ladders; driver feedback; eco-driving; energy consumption; skills, rules, and knowledge

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Year:  2015        PMID: 25604541     DOI: 10.1080/00140139.2014.997807

Source DB:  PubMed          Journal:  Ergonomics        ISSN: 0014-0139            Impact factor:   2.778


  1 in total

1.  The Influence of Intersections on Fuel Consumption in Urban Arterial Road Traffic: A Single Vehicle Test in Harbin, China.

Authors:  Lina Wu; Yusheng Ci; Jiangwei Chu; Hongsheng Zhang
Journal:  PLoS One       Date:  2015-09-14       Impact factor: 3.240

  1 in total

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