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      Comparison of Physical, Occupational, and Sociocognitive Characteristics of Corporate and Private Taxi Drivers in Korea

      research-article
      1 , 2 , * , 3
      Healthcare
      MDPI
      occupational health, motor vehicle, health risk behavior

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          Abstract

          Taxis are a form of public transport which is very closely related to the safety of the public. Although private and corporate taxis have quite different characteristics, there have only been a few studies comparing the characteristics of corporate and private taxis. Moreover, among various characteristics, research was conducted mainly focusing on occupational characteristics. This study was undertaken to compare various physical, occupational, and sociocognitive characteristics of corporate and private taxi drivers. A descriptive cross-sectional study was conducted from 22 August to 11 September 2018. The subjects of this study were 960 corporate and private taxi drivers over 30 years old in Seoul to compare the means and association between private and corporate taxi drivers’ characteristics. In terms of the physical characteristics, corporate taxi drivers’ general physical health status was worse. In terms of the occupational characteristics, corporate taxi drivers had a high working intensity, and the incidence rate of traffic accidents and near misses was also high. This comparison of the characteristics of corporate and private taxis is expected to serve as evidence for developing tailored policies and programs to improve the health of corporate and private taxi drivers.

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          Most cited references38

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          Prevalence of motor vehicle crashes involving drowsy drivers, United States, 1999-2008.

          The proportion of motor vehicle crashes that involve a drowsy driver likely is greater than existing crash databases reflect, due to the possibility that some drivers whose pre-crash state of attention was unknown may have been drowsy. This study estimated the proportion of crashes that involved a drowsy driver in a representative sample of 47,597 crashes in the United States from 1999 through 2008 that involved a passenger vehicle that was towed from the scene. Multiple imputation was used to address missing data on driver drowsiness. In the original (non-imputed) data, 3.9% of all crashes, 7.7% of non-fatal crashes that resulted in hospital admission, and 3.6% of fatal crashes involved a driver coded as drowsy; however, the drowsiness status of 45% of drivers was unknown. In the imputed data, an estimated 7.0% of all crashes (95% confidence interval: 4.6%, 9.3%), 13.1% of non-fatal crashes that resulted in hospital admission (95% confidence interval: 8.8%, 17.3%), and 16.5% of fatal crashes (95% confidence interval: 12.5%, 20.6%) involved a drowsy driver. Results suggest that the prevalence of fatal crashes that involve a drowsy driver is over 350% greater than has been reported previously.
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            Driving Fatigue in Professional Drivers: A Survey of Truck and Taxi Drivers

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              • Abstract: found
              • Article: not found

              The prevalence of fatigue and associated health and safety risk factors among taxi drivers in Singapore.

              Driver fatigue is one of the biggest health and safety concerns within the road transport sector. This study aimed to find out the prevalence of fatigue among taxi drivers in Singapore, to better understand the general working and health conditions of this group of people and to determine the risk factors associated with fatigued driving.
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                Author and article information

                Journal
                Healthcare (Basel)
                Healthcare (Basel)
                healthcare
                Healthcare
                MDPI
                2227-9032
                17 February 2021
                February 2021
                : 9
                : 2
                : 224
                Affiliations
                [1 ]Department of Nursing, Konkuk University, Chungju 27478, Korea; sokei@ 123456kku.ac.kr
                [2 ]Department of Preventive Medicine, School of Medicine, Konkuk University, Seoul 05029, Korea
                [3 ]Department of Nursing, Chungwoon University, Hongseong 32244, Korea; kh_kang@ 123456chungwoon.ac.kr
                Author notes
                [* ]Correspondence: mubul@ 123456kku.ac.kr ; Tel.: +82-2-2030-7942
                Author information
                https://orcid.org/0000-0002-1885-3015
                https://orcid.org/0000-0002-5379-134X
                https://orcid.org/0000-0003-1282-2370
                Article
                healthcare-09-00224
                10.3390/healthcare9020224
                7922013
                33671395
                bc2d7714-c922-4fa1-b1e2-4555ddc1f0bf
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 29 December 2020
                : 14 February 2021
                Categories
                Article

                occupational health,motor vehicle,health risk behavior

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