First the pebble makes a splash and then the splash makes a splash. Or, to use fancier words, first order effects are followed by second order effects.
On Medium, Phil Levin of the 99mph consultancy applies this framework to the impact of self-driving cars:
“A lot has been written about the ‘first order’ effects of autonomous vehicles (AVs): How they will reduce traffic fatalities, make rides more comfortable, or put truck drivers out of work. But the bigger story here is the ‘second order’ effects — how improvements in mobility will cause us to reexamine fundamental assumptions of how we live.”
The second order effect he’s particularly interested in is the impact of self-driving cars on property prices. Unsurprisingly, prices are highest were property is closest to where people want to be. However, the effect of self-driving cars will be to lessen the tyranny of distance:
“Autonomous vehicles make commutes more pleasant, so people will be willing to live further out: A 40 minute commute in traffic is a different animal if you are watching TV, napping or answering email instead of focused with hands on the wheel…
“…Autonomous vehicles may even shorten commutes: This one is hotly debated, but some believe AVs will reduce travel time by packing roadways with more cars per lane or increasing average speed through vehicle-to-vehicle communication.”
Levin and his team modelled the effect on the property market in and around America’s biggest cities. There will be money to be made:
“We conservatively estimate that ~$1 trillion of residential property value is going to shift across 13 major US cities due to autonomous vehicles.”
The shift, of course, will be from closer in to further out i.e. from city centres to suburbs.
Somewhat controversially, the model assumes that driverless cars will undermine public transport (the availability of which is currently a big plus point for city centres):
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