Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Electric vehicle users and their travel patterns in Greater Stockholm
KTH, School of Architecture and the Built Environment (ABE), Transport Science, System Analysis and Economics.
KTH, School of Architecture and the Built Environment (ABE), Transport Science.ORCID iD: 0000-0003-1360-4906
KTH, School of Architecture and the Built Environment (ABE), Transport Science.ORCID iD: 0000-0001-7124-7164
2017 (English)In: Transportation Research Part D: Transport and Environment, ISSN 1361-9209, E-ISSN 1879-2340, Vol. 52, 98-111 p.Article in journal (Refereed) Published
Abstract [en]

Electric vehicles (EVs) show promise for improving the environmental sustainability of the transport system since, as opposed to conventional vehicles, they have no tailpipe exhaust gas emissions. The use of EVs can also decrease the amount of greenhouse gas emissions, especially if the electricity has been generated with renewable energy sources. However, the scale of projected benefits can be questioned since the travel patterns of car drivers may not stay the same after changing to EVs, due to various factors such as higher investment costs, lower operation costs and general perceptions associated with electric vehicles. In this study, the travel patterns of both electric vehicle users and conventional vehicle users in Greater Stockholm are compared with regard to the number of trips made and the modal share of the car in the total travel distance. For this purpose, a one-day travel diary carried out in autumn 2014 has been used. The main findings are the following: firstly, the EV is generally perceived by respondents to be more environmentally friendly than public transport modes. Secondly, EV users make significantly more trips than their non-EV using counterparts, according to their one-day travel diaries and controlling for socio-economic and situational variables. Thirdly, EV users choose the car for a significantly larger percentage of their total travel distance than conventional vehicle users. Those observations would suggest a rebound effect, as EVs still consume a considerable amount of energy and contribute to other external effects such as congestion.

Place, publisher, year, edition, pages
Elsevier Ltd , 2017. Vol. 52, 98-111 p.
Keyword [en]
Electric vehicle, Mode choice, Rebound effect, Travel behaviour, Trip production, Economics, Electric vehicles, Gas emissions, Greenhouse gases, Investments, Renewable energy resources, Sustainable development, Transportation, Vehicles, Electric Vehicles (EVs), Environmental sustainability, Investment costs, Renewable energy source, Transport systems, Electric automobiles
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-207339DOI: 10.1016/j.trd.2017.02.015ISI: 000401398400008ScopusID: 2-s2.0-85014604647OAI: oai:DiVA.org:kth-207339DiVA: diva2:1106366
Note

QC 20170607

Available from: 2017-06-07 Created: 2017-06-07 Last updated: 2017-06-07Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Langbroek, J. H. M.Franklin, Joel P.Susilo, Yusak
By organisation
System Analysis and EconomicsTransport Science
In the same journal
Transportation Research Part D: Transport and Environment
Transport Systems and Logistics

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 4 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf