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<records>
  <record>
    <language>eng</language>
    <publisher>Science and Education Publishing</publisher>
    <journalTitle>Journal of Finance and Economics</journalTitle>
    <eissn>2328-7276</eissn>
    <publicationDate>2021-06-27</publicationDate>
    <volume>9</volume>
    <issue>3</issue>
    <startPage>147</startPage>
    <endPage>151</endPage>
    <doi>10.12691/jfe-9-3-5</doi>
    <publisherRecordId>JFE2021935</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">The Relationship between Crash Severity and Speeding Tickets: Lessons from a Nation-wide Survey</title>
    <authors>
      <author>
        <name>Murat Anil Mercan</name>
        <email>mamercan@gtu.edu.tr</email>
        <affiliationId>1</affiliationId>
      </author>
    </authors>
    <affiliationsList>
      <affiliationName affiliationId="1">Gebze Technical University, Kocaeli, Turkey</affiliationName>
    </affiliationsList>
    <abstract language="eng">Although many studies have investigated the relationship between car-crash severity and its determinants, few studies have taken advantage of nationwide datasets. This is especially true for developing countries. This study uses a unique dataset that includes all official police-recorded accidents in a developing country, namely Turkey. With this dataset, we estimate the relationship between the number of speeding tickets and multiple vehicle involvement, applying both Poisson and probit models for our analysis. Our estimates show a negative relationship between the number of speeding tickets issued in the provinces and the severity of deadly crashes; however, when we use the number of injured due to accidents, we find a positive relationship. This suggests that speeding tickets are a good policy to reduce crash severity. In addition, our analysis lets us investigate the determinants of crash severity.</abstract>
    <fullTextUrl format="pdf">http://pubs.sciepub.com/jfe/9/3/5/jfe-9-3-5.pdf</fullTextUrl>
    <keywords language="eng">
      <keyword>speeding</keyword>
      <keyword>accident</keyword>
      <keyword>gender</keyword>
      <keyword>turkey</keyword>
      <keyword>poisson</keyword>
      <keyword>probit</keyword>
    </keywords>
  </record>
</records>