A Market Systems Analysis of the US Sport Utility Vehicle Market Considering Frontal Crash Safety Technology and Policy

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dc.contributor.author Hoffenson, S
dc.contributor.author Frischknecht, BD
dc.contributor.author Papalambros, P
dc.date.accessioned 2014-04-03T01:53:28Z
dc.date.issued 2013-01
dc.identifier.citation Accident Analysis and Prevention, 2013, 50 pp. 943 - 954
dc.identifier.issn 0001-4575
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/23437
dc.description.abstract Active safety features and adjustments to the New Car Assessment Program (NCAP) consumer-information crash tests have the potential to decrease the number of serious traffic injuries each year, according to previous studies. However, literature suggests that risk reductions, particularly in the automotive market, are often accompanied by adjusted consumer risk tolerance, and so these potential safety benefits may not be fully realized due to changes in consumer purchasing or driving behavior. This article approaches safety in the new vehicle market, particularly in the Sport Utility Vehicle and Crossover Utility Vehicle segments, from a market systems perspective. Crash statistics and simulations are used to predict the effects of design and policy changes on occupant crash safety, and discrete choice experiments are conducted to estimate the values consumers place on vehicle attributes. These models are combined in a market simulation that forecasts how consumers respond to the available vehicle alternatives, resulting in predictions of the market share of each vehicle and how the change in fleet mixture influences societal outcomes including injuries, fuel consumption, and firm profits. The model is tested for a scenario where active safety features are implemented across the new vehicle fleet and a scenario where the U.S. frontal NCAP test speed is modified. While results exhibit evidence of consumer risk adjustment, they support adding active safety features and lowering the NCAP frontal test speed, as these changes are predicted to improve the welfare of both firms and society.
dc.publisher Elsevier Ltd
dc.relation.isbasedon 10.1016/j.aap.2012.07.021
dc.title A Market Systems Analysis of the US Sport Utility Vehicle Market Considering Frontal Crash Safety Technology and Policy
dc.type Journal Article
dc.description.version Published
dc.parent Accident Analysis and Prevention
dc.journal.volume 50
dc.journal.number en_US
dc.publocation United Kingdom en_US
dc.identifier.startpage 943 en_US
dc.identifier.endpage 954 en_US
dc.cauo.name BUS.Centre for the Study of Choice en_US
dc.conference Verified OK en_US
dc.for 1701 Psychology
dc.for 1507 Transportation and Freight Services
dc.for 1117 Public Health and Health Services
dc.personcode 108926
dc.percentage 34 en_US
dc.classification.name Public Health and Health Services en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords Automotive vehicle design Crashworthiness Market systems Vehicle safety policy en_US
dc.description.keywords Science & Technology
dc.description.keywords Life Sciences & Biomedicine
dc.description.keywords Physical Sciences
dc.description.keywords Biology
dc.description.keywords Mathematical & Computational Biology
dc.description.keywords Statistics & Probability
dc.description.keywords Life Sciences & Biomedicine - Other Topics
dc.description.keywords Mathematics
dc.description.keywords BIOLOGY
dc.description.keywords MATHEMATICAL & COMPUTATIONAL BIOLOGY
dc.description.keywords STATISTICS & PROBABILITY
dc.description.keywords Bayesian hierarchical models
dc.description.keywords bladder cancer
dc.description.keywords constrained estimation
dc.description.keywords latent trait models
dc.description.keywords methylation silencing
dc.description.keywords penalized likelihood
dc.description.keywords Rasch models
dc.description.keywords ridge regression
dc.description.keywords LATENT VARIABLE MODELS
dc.description.keywords TUMOR-TISSUES
dc.description.keywords PARAMETER-ESTIMATION
dc.description.keywords ARSENIC EXPOSURE
dc.description.keywords DRINKING-WATER
dc.description.keywords VOIDED URINE
dc.description.keywords GENES
dc.description.keywords HYPERMETHYLATION
dc.description.keywords REGRESSION
dc.description.keywords METHYLATION
dc.description.keywords Automotive vehicle design Crashworthiness Market systems Vehicle safety policy
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Business
pubs.organisational-group /University of Technology Sydney/Strength - Study of Choice
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Uncategorised (ID: 363)
utslib.collection.history Closed (ID: 3)


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