The well travelled road effect is a cognitive bias in which travellers will estimate the time taken to traverse routes differently depending on their familiarity with the route. Frequently travelled routes are assessed as taking a shorter time than unfamiliar routes.[1][2] This effect creates errors when estimating the most efficient route to an unfamiliar destination, when one candidate route includes a familiar route, whilst the other candidate route includes no familiar routes. The effect is most salient when subjects are driving, but is still detectable for pedestrians and users of public transport. The effect has been observed for centuries but was first studied scientifically in the 1980s and 1990s following from earlier "heuristics and biases" work undertaken by Daniel Kahneman and Amos Tversky.[3]

Much like the Stroop task,[4] it is hypothesised that drivers use less cognitive effort when traversing familiar routes and therefore underestimate the time taken to traverse the familiar route.[5] The well travelled road effect has been hypothesised as a reason that self-reported experience curve effects are overestimated.

See also

References

  1. ↑ Allan, Lorraine G. (1979). "The perception of time". Perception & Psychophysics. 26 (5): 340–354. doi:10.3758/BF03204158.
  2. ↑ Zakay, D; Block, RA (2004). "Prospective and retrospective duration judgments: an executive-control perspective" (PDF). Acta Neurobiologiae Experimentalis. 64 (3): 319–28. PMID 15283475. Archived from the original (PDF) on 2016-05-24.
  3. ↑ Jackson, W. Burke; Jucker, James V. (1982). "An Empirical Study of Travel Time Variability and Travel Choice Behavior". Transportation Science. 16 (4): 460–475. doi:10.1287/trsc.16.4.460.
  4. ↑ Zakay, Dan; Fallach, Eli (1984). "Immediate and remote time estimation — A comparison". Acta Psychologica. 57 (1): 69–81. doi:10.1016/0001-6918(84)90054-4. PMID 6507128.
  5. ↑ Rubia, K; Smith, A (2004). "The neural correlates of cognitive time management: a review". Acta Neurobiologiae Experimentalis. 64 (3): 329–40. PMID 15283476.
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