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Encouraging Sustainable Transport Choices in American Households: Results from an Empirically Grounded Agent-Based Model

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dc.contributor.author Natalini, Davide
dc.contributor.author Bravo, Giangiacomo
dc.date.accessioned 2014-02-28T16:49:36Z
dc.date.available 2014-02-28T16:49:36Z
dc.date.issued 2014 en_US
dc.identifier.uri https://hdl.handle.net/10535/9266
dc.description.abstract "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." en_US
dc.language English en_US
dc.subject sustainability en_US
dc.subject agent-based computational economics en_US
dc.subject environmental policy en_US
dc.title Encouraging Sustainable Transport Choices in American Households: Results from an Empirically Grounded Agent-Based Model en_US
dc.type Journal Article en_US
dc.type.published published en_US
dc.type.methodology Case Study en_US
dc.subject.sector Theory en_US
dc.identifier.citationjournal Sustainability en_US
dc.identifier.citationvolume 6 en_US
dc.identifier.citationpages 50-69 en_US
dc.identifier.citationnumber 1 en_US
dc.identifier.citationmonth January en_US


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