Chorlton, K, Hess, S, Jamson, S et al. (1 more author) (2012) Deal or no deal: can incentives encourage widespread adoption of intelligent speed adaptation devices? Accident Analysis and Prevention, 48. 73 - 82. ISSN 0001-4575
Abstract
Given the burden of injury, economic, environmental and social consequences associated with speeding, reducing road traffic speed remains a major priority. Intelligent speed adaptation (ISA) is a promising but controversial new in-vehicle system that provides drivers with support on the speed-control task. In order to model potential system uptake, this paper explores drivers’ preferences for two different types of ISA given a number of alternative fiscal incentives and non-fiscal measures, using a stated preference approach. As would be expected with such a contentious issue, the analysis revealed the presence of significant variations in sensitivities and preferences in the sample. While a non-negligible part of the sample population has such strong opposition to ISA that no reasonable discounts or incentives would lead to them buying or accepting such a system, there is also a large part of the population that, if given the right incentives, would be willing or even keen to equip their vehicle with an ISA device.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | (c) 2011,Elsevier. This is an author produced version of a paper accepted for publication in Accident Analysis and Prevention. Uploaded in accordance with the publisher's self-archiving policy. |
| Keywords: | Latent class; heterogeneity; intelligent speed adaptation; stated preference; incentives |
| Dates: |
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| Institution: | The University of Leeds |
| Depositing User: | Symplectic Publications |
| Date Deposited: | 21 Mar 2012 10:03 |
| Last Modified: | 03 Sep 2017 01:40 |
| Published Version: | http://dx.doi.org/10.1016/j.aap.2011.02.019 |
| Status: | Published |
| Publisher: | Elsevier |
| Identification Number: | 10.1016/j.aap.2011.02.019 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:43619 |
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