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Activity Number:
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532
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Type:
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Contributed
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Date/Time:
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Wednesday, August 5, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics and the Environment
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| Abstract - #304996 |
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Title:
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Targeting Polluting Vehicles for Car Scrappage Programs Using Factor Analysis
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Author(s):
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Peng Wu*+ and Shuang Liu
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Companies:
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University of California, Davis and University of California, Davis
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Address:
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, , CA, 20817,
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Keywords:
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high-emitting vehicles ; clustering analysis ; Principal Component Regression
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Abstract:
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Older vehicles emit a disproportional share of total vehicle emissions. This study applied clustering analysis and Principal Component Regression (PCR) to target high-emitting older vehicles by knowing who owns them, where they are, and how much they emit. Using the San Joaquin Valley as the study region, this study found that low-income population, minorities and immigrants more likely own older vehicles. Knowing the socio-economic characteristics of older vehicle owners can help make proactive policies to implement car scrappage programs.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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