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A consolidated database of police-reported motor vehicle traffic accidents in the United States for actuarial applications

Authors: Carlos Andres Araiza Iturria; Mary Hardy; Paul Marriott;

A consolidated database of police-reported motor vehicle traffic accidents in the United States for actuarial applications

Abstract

This database is related to "A CONSOLIDATED DATABASE OF POLICE-REPORTED MOTOR VEHICLE TRAFFIC ACCIDENTS IN THE UNITED STATES FOR ACTUARIAL APPLICATIONS" (Araiza Iturria C.A., Hardy M., Marriott P.). Author Information A. Author Name: Carlos Andrés Araiza Iturria Email: caraizai@uwaterloo.ca B. Co-author Name: Mary Hardy Email: mary.hardy@uwaterloo.ca C. Co-author Name: Paul Marriott Email: pmarriott@uwaterloo.ca Institution: University of Waterloo Address: 200 University Ave W, Waterloo, ON N2L 3G1 Funding granted by the Natural Sciences and Engineering Research Council of Canada. Hardy: RGPIN-2018-03754, Marriott: RGPIN-2020-04015. The Python scripts to create the database can be directly accessed through related identifiers in this page. Parameter estimates along with their 90% confidence intervals from the 20 multinomial logistic regressions can be seen through related identifiers in this page.

Updated with MVTAs of 2020. This specific database is a compilation of the database with MVTAs of 2001-2019 (older version of dataset, cited in this page) created with version 3 of the software (older version which can be accessed through the software citation in this page) and the database of 2020 generated with version 3.1.0 (current version, cited in this page).

Related Organizations
Keywords

Motor vehicle traffic accidents data

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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