A multi-criteria decision aid methodology to design electric vehicles public charging networks

Simple item page
dc.contributor.authorRasposo, João
dc.contributor.authorRodrigues, Ana
dc.contributor.authorSilva, Carlos
dc.contributor.authorDentinho, Tomaz
dc.date.accessioned2018-05-04T14:25:13Z
dc.date.available2018-05-04T14:25:13Z
dc.date.issued2015-05-08
dc.description.abstractThis article presents a new multi-criteria decision aid methodology, dynamic-PROMETHEE, here used to design electric vehicle charging networks. In applying this methodology to a Portuguese city, results suggest that it is effective in designing electric vehicle charging networks, generating time and policy based scenarios, considering offer and demand and the city’s urban structure. Dynamic-PROMETHE adds to the already known PROMETHEE’s characteristics other useful features, such as decision memory over time, versatility and adaptability. The case study, used here to present the dynamic-PROMETHEE, served as inspiration and base to create this new methodology. It can be used to model different problems and scenarios that may present similar requirement characteristics.en_UK
dc.identifier.citationRaposo J, Rodrigues A, Silva C, Dentinho T, A multi-criteria decision aid methodology to design electric vehicles public charging networks, AIP Advances, Vol. 5, issue 5, May 2015, Article number 057123en_UK
dc.identifier.issn2158-3226
dc.identifier.urihttp://dx.doi.org/10.1063/1.4921087
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/13189
dc.language.isoenen_UK
dc.publisherAIP Publishingen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleA multi-criteria decision aid methodology to design electric vehicles public charging networksen_UK
dc.typeArticleen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
A_multi-criteria_decision_aid_methodology-2015.pdf
Size:
2.8 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (SATM)