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Background: Taxi drivers in a Chinese megacity are frequently exposed to traffic-related particulate matter (PM) due to their job nature, busy road traffic, and urban density. A robust method to quantify dynamic population exposure to PM among taxi drivers is important for occupational risk prevention, however, it is limited by data availability.
Methods: This study proposed a rapid assessment of dynamic exposure to PM among drivers based on satellite-derived information, air quality data from monitoring stations, and GPS-based taxi trajectory data. An empirical study was conducted in Wuhan, China, to examine spatial and temporal variability of dynamic exposure and compare whether drivers' exposure exceeded the World Health Organization (WHO) and China air quality guideline thresholds. Kernel density estimation was conducted to further explore the relationship between dynamic exposure and taxi drivers' activities.
Results: The taxi drivers' weekday and weekend 24-h PM exposure was 83.60 μg/m and 55.62 μg/m respectively, 3.4 and 2.2 times than the WHO's recommended level of 25 µg/m. Specifically, drivers with high PM exposure had a higher average trip distance and smaller activity areas. Although major transportation interchanges/terminals were the common activity hotspots for both taxi drivers with high and low exposure, activity hotspots of drivers with high exposure were mainly located in busy riverside commercial areas within historic and central districts bounded by the "Inner Ring Road", while hotspots of drivers with low exposure were new commercial areas in the extended urbanized area bounded by the "Third Ring Road".
Conclusion: These findings emphasized the need for air quality management and community planning to mitigate the potential health risks of taxi drivers.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11421200 | PMC |
http://dx.doi.org/10.1186/s12942-024-00368-5 | DOI Listing |
PLoS One
September 2025
College of Intelligent Science and Control Engineering, Jinling Institute of Technology, Nanjing, China.
Traffic congestion frequently occurs in the drop-off zones of large integrated passenger hubs, posing significant challenges to the efficient utilization of lane space. This study develops a First-In-First-Out (FIFO) taxi drop-off decision-making model, incorporating both static and dynamic Logit frameworks grounded in panel data analysis. The model accounts for heterogeneity across vehicles, temporal variations, and spatial factors influencing drop-off decisions.
View Article and Find Full Text PDFSci Rep
August 2025
Department of Public Health, Graduate School of Medicine, Juntendo University, Tokyo, Japan.
In this cross-sectional study, we investigated the association between visual field impairment (VFI) and motor vehicle accidents (MVAs) among Japanese taxi drivers. We also evaluated the usefulness of a self-check test, the CLOCK CHART, as a screening tool for VFI. We recruited 1,227 male Japanese taxi drivers from 2018 to 2019.
View Article and Find Full Text PDFJ Fr Ophtalmol
August 2025
Hôpital central de Yaoundé, Yaoundé, Cameroun; Faculté de médecine et des sciences biomédicales de Yaoundé, Yaoundé, Cameroun.
Introduction: Dry eye disease (DED) is a multifactorial disease of the ocular surface in which environmental factors play an important role. The goal of this study was to investigate the epidemiological and clinical features of dry eye among professional urban motorcycle taxi drivers in the city of Douala.
Patients And Methods: This was a prospective, cross-sectional, analytical study of professional motorcycle taxi drivers in the city of Douala.
Surg Neurol Int
July 2025
Department of Neurosurgery, Oita University Faculty of Medicine, Oita, Japan.
Background: Cough syncope, central sleep apnea (CSA), and Chiari type 1 malformations (CM1) with atlas assimilation are very rare in adults.
Case Description: A 48-year-old male taxi driver fainted. He was neurologically intact, but tested positive for mild sleep apnea confirmed by a polysonogram.
Indian J Occup Environ Med
May 2025
Federal University of Espirito Santo, Vitoria, Brazil.
Background: Sleep duration disorders impact the quality of life and energy expenditure in workers. However, there is a lack of understanding about the relationship between sleep duration and energy expenditure at work among motorcycle taxi drivers.
Aims: To analyze the relationship between sleep duration and energy expenditure at work in motorcycle taxi drivers.