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Encouraging Sustainable Transport Choices in American Households: Results from an Empirically Grounded  Agent-Based Model
Anglia Ruskin University, UK.
Linnaeus University, Faculty of Social Sciences, Department of Social Studies.ORCID iD: 0000-0003-2837-0137
2014 (English)In: Sustainability, ISSN 2071-1050, E-ISSN 2071-1050, Vol. 6, no 1, p. 50-69Article in journal (Refereed) Published
Abstract [en]

The transport sector needs to go through an extended process of decarbonisation to counter the threat of climate change. Unfortunately, the International Energy Agency forecasts an enormous growth in the number of cars and greenhouse gas emissions by 2050. Two issues can thus be identified: (1) the need for a new methodology that could evaluate the policy performances ex-ante and (2) the need for more effective policies. To help address these issues, we developed an Agent-Based Model called Mobility USA aimed at: (1) testing whether this could be an effective approach in analysing ex-ante policy implementation in the transport sector; and (2) evaluating the effects of alternative policy scenarios on commuting behaviours in the USA. Particularly, we tested the effects of two sets of policies, namely market-based and preference-change ones. The model results suggest that this type of agent-based approach will provide a useful tool for testing policy interventions and their effectiveness.

Place, publisher, year, edition, pages
2014. Vol. 6, no 1, p. 50-69
Keywords [en]
Agent-Based Model; environmental policies, price-based policies, preference-based policies, transports
National Category
Sociology Environmental Sciences
Research subject
Environmental Science, Natural Resources Management; Social Sciences, Sociology
Identifiers
URN: urn:nbn:se:lnu:diva-31336DOI: 10.3390/su6010050ISI: 000330325100003Scopus ID: 2-s2.0-84894087089OAI: oai:DiVA.org:lnu-31336DiVA, id: diva2:681824
Available from: 2013-12-20 Created: 2013-12-20 Last updated: 2018-02-22Bibliographically approved

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Bravo, Giangiacomo

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • vancouver
  • Other style
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • asciidoc
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