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   <dc:title>Driving Risk Assessment using Near-miss Events based on Panel Poisson Regression and Panel Negative Binomial Regression</dc:title>
   <dc:creator>Sun, Shuai</dc:creator>
   <dc:creator>Bi, Jun</dc:creator>
   <dc:creator>Guillén, Montserrat</dc:creator>
   <dc:creator>Pérez Marín, Ana María</dc:creator>
   <dc:subject>Avaluació del risc</dc:subject>
   <dc:subject>Assegurances d'accidents de treball</dc:subject>
   <dc:subject>Anàlisi de regressió</dc:subject>
   <dc:subject>Anàlisi de dades de panel</dc:subject>
   <dc:subject>Risk assessment</dc:subject>
   <dc:subject>Employers' liability insurance</dc:subject>
   <dc:subject>Regression analysis</dc:subject>
   <dc:subject>Panel analysis</dc:subject>
   <dc:description>This study proposes a method for identifying and evaluating driving risk as a first step towards calculating premiums in the newly emerging context of usage-based insurance. Telematics data gathered by the Internet of Vehicles (IoV) contain a large number of near-miss events which can be regarded as an alternative for modeling claims or accidents for estimating a driving risk score for a particular vehicle and its driver (...)</dc:description>
   <dc:date>2021-11-09T19:10:11Z</dc:date>
   <dc:date>2021-11-09T19:10:11Z</dc:date>
   <dc:date>2021-07</dc:date>
   <dc:date>2021-11-09T19:10:11Z</dc:date>
   <dc:type>info:eu-repo/semantics/article</dc:type>
   <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
   <dc:identifier>1099-4300</dc:identifier>
   <dc:identifier>https://hdl.handle.net/2445/181175</dc:identifier>
   <dc:identifier>713346</dc:identifier>
   <dc:identifier>34209743</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>Reproducció del document publicat a: https://doi.org/10.3390/e23070829</dc:relation>
   <dc:relation>Entropy, 2021, vol. 23, num. 829, p. 1-22</dc:relation>
   <dc:relation>https://doi.org/10.3390/e23070829</dc:relation>
   <dc:rights>cc-by (c) Sun, Shaui et al., 2021</dc:rights>
   <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
   <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
   <dc:format>22 p.</dc:format>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>MDPI</dc:publisher>
   <dc:source>Articles publicats en revistes  (Econometria, Estadística i Economia Aplicada)</dc:source>
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