A recent study divided U.S. cities into “expensive” and “expansive” categories when it comes to housing. The high cost of housing in the expensive ones is, as usual, assigned to constrained supply — a failure to build more housing due to zoning restrictions and, in some cases, geographic constraints.
There’s a bit of a paradox, however. The expensive cities are almost all already among the most densely populated cities in the US (San Francisco, New York, Los Angeles, Boston, Washington DC, San Diego, Philadelphia, Miami) — although methods of measuring density vary widely. In other words, they already have the largest supply of housing in the nation for their size. San Francisco, often blamed for not allowing taller buildings to meet demand, in fact already has the tallest average building height of U.S. cities. And the study’s author admits that several of these “expensive” cities have also been, in fact, quite expansive, meaning they are also building housing out into their hinterland (“either four or five of the top ten largest expanders in the 2000s were expensive cities”).
Normally, a high level of supply would mean lower prices. And normally, if prices go up, demand should go down until it is balanced with supply. In the case of housing, that would mean people would move to expanding suburbs, which is, presumably, what happens in lower-density “expansive” metropolitan areas where prices are more evenly distributed; or, where there are geographical limits, they would move to different, more affordable cities, of which there are plenty in the U.S. But while that happens to some extent, rising prices don’t seem to be fully rebalancing demand in cities that are already densely populated. So if the U.S. cities that already have the largest existing housing supply are seeing demand continue and even increase despite high and rapidly rising prices, that suggests that something is going on with demand.
I wonder if there is a kind of “induced demand” effect for housing that helps explain this pattern. Induced demand (sometimes called “latent demand”) is a phrase normally used to explain why, when new highway capacity is built in urban areas, it soon becomes full and the level of congestion does not get reduced. It’s possible something comparable is happening in cities — the greater the supply of housing within a city, the larger the number of people who want to live there.
The underlying mechanisms would be different for housing than for highways. Induced demand on highways is generally explained in part by the fact they are usually a free good, so there’s no monetary price mechanism to balance supply and demand (instead, demand is regulated by time costs resulting from congestion). That’s obviously not the case for housing, where a price mechanism exists but doesn’t seem to be having the expected effect.
I would suggest the mechanism is more subtle, and integral to the nature of cities. Cities thrive because they bring diverse people together in a concentrated place, creating economic activity, innovation, and cultural creativity through mixing and mingling. The greater a city’s density, the more people are mixed together, and therefore the higher the potential for economic and cultural vitality. And the more jobs and interesting cultural activities there are, the more people want to come and live in the city, for both economic and lifestyle reasons. So the denser the city is, the more attractive it becomes. And the more people want to live there, the more willing they are to make sacrifices (i.e. pay more than usual for housing and/or live in less space) for the privilege.
Density could therefore become a self-reinforcing cycle, one that is partially immune to pricing. If a city’s housing market is subject to induced demand, the result would be that, just as increasing road supply doesn’t reduce congestion (because additional drivers are attracted to the new road and fill it until the time cost in congestion is the same as it was before), increasing housing supply in an in-demand city would not necessarily reduce prices. When new housing becomes available in this situation, enough additional people become interested in living in the city that the additional supply is filled up at the existing prices.
There are other factors too, such as transportation efficiency — if you live where jobs and culture are concentrated, you don’t have to spend as much time and/or money on transportation. So the greater the density where you live, the more likely it is that you will save money (and time) on transportation that can be spent on housing instead. But there’s a point where those savings no longer compensate for the high price of housing. As well, this factor is not very significant in cases of reverse commuting.
Another commuting issue might be that already-dense cities may have worse congestion, so that it takes a lot longer to get to work from outlying suburbs than in lower-density “expansive” cities, which creates a self-reinforcing cycle that increases the incentive to live in the already-dense part of the city.
There are potential limits to the vitality factor. If a city gets so expensive that only certain types of people can afford to live and work there, the concentrated diversity could get reduced (e.g. all the artists might move away), undermining the innovation and creativity that made the destination attractive in the first place. This danger can also be influenced by one dimension of induced demand, which is the element of wealthy people wanting to purchase second residences in an in-demand city. If they only live there part of the year, they only contribute to the city’s economy for part of the year. As well, they may be less engaged in the city’s civic and cultural life. This factor is thought by some to be affecting Vancouver; whether it is a significant factor in other cities is a matter for discussion.
Unlike induced demand in highways, induced demand in housing seems highly variable. In the mid to late 20th century, the high supply of housing in now-expensive areas such as San Francisco and New York’s borough of Manhattan did, as might be expected, mean there was a lot of affordable housing in those areas. There may be a natural cycle over time, or it could be that factors specific to that time period created the difference, or that factors specific to the current time are triggering the current induced demand.
Induced demand does not mean that dense cities should not build even more housing. There may be good reasons to build increased housing supply in cities where induced demand is in action. It simply means that improving the affordability of housing may not be one of those reasons (at least, not without government intervention).
An added factor is that, in an already-dense city, adding new housing will generally require building high-rise units on expensive land. Such construction involves considerable fixed costs, so that it is challenging for any new supply to be truly affordable (again, absent government intervention). As the study’s author says, “densification involves real challenges that render it more costly than expansion, so it would be less effective at curbing housing price growth.”
In theory, new construction could draw people out of older units, leaving those available as more affordable housing. But induced demand seems to mean that either new buildings attract new inhabitants to the city, or that any old buildings vacated are also in high demand. This effect is exacerbated by the way that, in recent decades, old buildings with “character” have become highly prized, undermining their traditional role of providing affordable housing (ugly old buildings might be the last resort of affordability).
Induced demand for housing may also at times be partially localized within a city, especially a large one — certain parts of the city might experience it even when others don’t.
(There may also be a reverse effect, where depopulation in a city triggers an accelerating collapse in demand even if prices go down).
Toronto, which has built more new high-rise housing since 2000 than any other North American city (and a fair amount of low-rise infill housing), is a useful case study in the effect and limits of induced demand for housing. The older part of Toronto has always had relatively dense housing, both low-rise and high-rise, and until the last decade of the last century a fair proportion of that was relatively affordable. Significant new mid- and high-rise construction (including some transformation of old factories to new, dense housing) began in the late 1990s as demand for urban living began to increase. As old areas brought in new inhabitants, and entirely new residential areas were created, demand for housing in these areas increased even more rapidly than the increasing supply. For over a decade, despite the steady new supply, prices of condos and houses went up rapidly as more and more people moved to newly vibrant parts of the old city. However, recently, condo prices have started to stabilize — at a high level — suggesting that the new building of condo units has finally begun to reach an equilibrium with the additional demand it encouraged (although it is still not reducing prices).
On the other hand, the price of Toronto low-rise houses is continuing to increase, because the ability to increase their supply is limited (there is little room for new houses in the city), and the demand for living in houses in the city continues to increase despite the prices. Low-rise housing thus seems to operate in a somewhat separate market from high-rise housing.
The lessons of Toronto seem to be that, when induced demand is in action:
- You have to build a lot of additional high-rise housing even to just stabilize prices.
- Even when stable, prices will still be high.
- Even a sufficient supply of new high-rise housing won’t stop the price of low-rise housing from continuing to go up.
If urban density has the potential to actually trigger demand, one solution to alleviating the pressure on dense, in-demand cities could be to encourage other, nearby cities to develop similar density benefits. A example might be Silicon Valley — an alternative or complement to building more density in San Francisco to house people who work in Silicon Valley could be to address the factors blocking the building of higher densities near where people work in the Valley itself. Not only would that mean shorter commuting times, but it could also aim to achieve sufficient density to trigger greater cultural vitality (transformations in the approach to urban planning might also be needed). Around Toronto, several Greater Toronto Area municipalities are seeking to create dense urban centres and transit hubs that could trigger urban appeal. The task of giving newly built cities the same appeal as established dense cities is not easy, however.
As well, as has been noted, it is challenging for newly built housing to be affordable, especially in already-dense cities where induced demand for housing has taken hold. Where there is not a sufficient supply of older, paid-off buildings in lower demand that can provide affordable housing, significant government intervention might be necessary to ensure that a portion of new housing in a location remains affordable, in order to ensure the diversity needed to keep a city vibrant. This government intevention could be direct, or it could also involve partnering with private and/or not-for-profit housing suppliers. Awareness of being in a state of induced demand for housing could help mobilize governments to take more conscious action to support affordable housing initiatives. And creating opportunities for expanding affordable housing could be a good reason to build additional housing in already-dense in-demand cities.
Induced demand for housing would just be one of several factors shaping the housing market in North American cities, but it may be an issue worth further investigation.
Spacing’s housing issue is now available in stores.
Graph from Issi Romem, “Has The Expansion of American Cities Slowed Down?“
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