Apps are essential for calculating driving time – but they often ignore the time needed to find a seat.
The most popular navigation applications, such as Google Maps and the Apple Maps, continue to treat parking as a secondary detail, despite the fact that this factor can decisively change the real time of a trip, notes .
According to a recent MIT report, current systems help calculate driving time, but ignore often the time needed to find a place, park and walk the rest of the way to the destination.
The research, written by Cameron Hickert, Sirui Li, Zhengbing He and Cathy Wu, proposes a model of “probabilistic parking” that tries to solve precisely this problem.
Instead of directing the driver directly to the destination or the nearest park, the system uses data about occupation of parks to estimate where there is the best balance between proximity and probability of vacancies.
The study was tested with real data from the city of Seattle. The results point to potentially relevant gains.
The smartest park choice can save up to 35 minutes per trip when compared to the more intuitive strategy — heading to the nearest park and waiting for a spot to appear.
In the most congested scenario analyzed, the total time to actually reach the destination can drop by up to two thirds.
Still, the study itself notes that, even with this optimization, the actual arrival time by car may remain well above what traditional navigation estimates usually indicate.
The piece highlights that the impact is not just individual. Fewer cars circling around looking for space means less traffic, less emissions and less urban stress.
A UCLA urban planning professor, Adam Millard-Ball, argues that the absence of reliable parking information distorts mobility decisions and fuels perceptions of parking shortages, even in cities where parking shortages are not permanent but vary by zone and time of day.
According to a federal analysis cited in the article, 7.3% of car trips in Seattle and 6.8% in Chicago involve actively looking for parking, while in very congested areas of cities like New York this portion can represent close to a third of street traffic.
Today, the Google Maps is limited mainly to indicating whether Parking will be “easy” or “difficult”and both Google and Apple offer integrations with seat reservation services, but they don’t consistently calculate the expected time to find a seat.
The researchers’ thesis is that incorporating this time into the arrival calculation would not only make navigation more accurate, but could also lead more people to reconsider using their car on certain routes.
In this sense, the issue of parking stops being a logistical detail and starts to be treated as a central variable in the way cities manage traffic, public space and mobility choices.
