1 week ago • Visible to anyone on or off LinkedIn
Director @ Transport Research | Transportation and Human Factors Engineer
A couple of questions come to
mind when a complex interaction between factors is posited in a simplistic
2-variable equation:
- Do you know the regression coefficients and degree of fit for that straight
line?
- Were any other curves fitted?
- Also, what are the data points representing, single or multiple observations?
Are they taken from the same posted speed zones, or are the wider lanes
synonymous with higher design/ posted speed facilities?
This would help position the thesis in your post relative to interpreting the
data and the associated report link.
The reason I ask is also that I recently reviewed a couple of journal papers
that don't support the general thesis that wider lanes equal more pedestrian
DSIs. ( It's mostly to do with many environmental factors coupled with people
density, key width features along the driver's eye line, expectations, and
development scale locality (e.g. urban, sub-urban, peri-urban, rural )
manage speeds and improve safety in urban environments. In too many
contexts, wider travel lanes have been favored in street design to create more
forgiving buffers between drivers, especially in high-speed environments
where narrow lanes may feel uncomfortable or increase the potential for sideswipe collisions. Narrower lanes lead to safer speeds and allow space to be reallocated for other uses.
Lanes over 3.4 meters wide are associated with 33% higher impact speeds rates. Wider lanes provide drivers with a sense of comfort, often leading to faster speeds. This effect is compounded by an increase in the total number of lanes and the overall width of the right-of-way. These conditions not only encourage higher speeds but also reduce safety for pedestrians and cyclists.
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