  Work-related traffic incidents significantly impact urban mobility and
productivity. This study analyzes a decade of work-related traffic incident
data (2012--2021) in Santiago, Chile, using records from a major social
insurance company. We explore temporal, spatial, and demographic patterns in
these incidents in urban and rural areas. We also evaluate the impact of a 2018
urban speed limit reduction law on incident injury severity. Using negative
binomial regression, we assess how various factors, including the speed limit
change, affect injury severity measured by prescribed medical leave days.
  Our analysis reveals distinct incident occurrence and severity patterns
across different times, locations, and demographic groups. We find that
motorcycles and cycles are associated with more severe injuries, with marginal
effects of 26.94 and 13.06 additional days of medical leave, respectively,
compared to motorized vehicles. Female workers tend to have less severe
injuries, with an average of 7.57 fewer days of medical leave. Age is also a
significant factor, with each year associated with 0.57 additional days of
leave.
  Notably, the urban speed limit reduction is associated with a decrease of
4.26 days in prescribed medical leave for incidents in urban areas, suggesting
that lower speed limits contribute to reduced injury severity in work-related
traffic incidents. Our results provide insights for urban planning,
transportation policy, and workplace safety initiatives, highlighting the
potential benefits of speed management in urban areas for improving road safety
and minimizing the economic impact of work-related incidents.
