Yang, Z, Poo, MC-P, Galatioto, F et al. (6 more authors) (2020) Key Green Performance Indicators (KGPIs) for vehicle cleanliness evaluation: A buyer choice. Transportation Research Part D: Transport and Environment, 87. 102505. ISSN 1361-9209
Abstract
This paper aims to develop a testing and scoring mechanism, to assess the buyers’ behaviours on purchasing green vehicles. As there are various vehicle types with different emission properties presented in the current market, a Key Green Performance Indicator (KGPI) framework is designed to choose vehicles by comparing all the relevant factors affecting consumer choice on green vehicles, including different emission damages, buyer cost, car performance, and other incentives. The novelty of this paper is to combine all the factors to produce a unique single score to present vehicle cleanliness and guide buyer choices. The findings will provide useful information to guide buyers towards the cleanest available vehicles and promote the manufacturing of new cleaner vehicles to the market.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 Elsevier Ltd. All rights reserved. This is an author produced version of an article published in Transportation Research Part D: Transport and Environment. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Transport sustainability; Prioritizing vehicle cleanliness; Key Green Performance Indicators; Vehicle emission; Evidential reasoning; AHP; Vehicle customer choice; Vehicle cleanliness |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 30 Nov 2020 12:35 |
Last Modified: | 28 Aug 2021 00:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.trd.2020.102505 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:168496 |
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