The Rise of the Smart City
Officials are tapping all kinds of data to make their
cities safer, healthier and more efficient, in what may be just the start of a
sweeping change in how cities are run
As city officials across the country begin to draw on
data about income, traffic, fires, illnesses and more, big changes are already
under way in leading smart cities.
By Michael Totty April 16, 2017 10:12 p.m. ET
Cities have a way to go before they can be considered
geniuses. But they’re getting smart pretty fast.
In just the past few years, mayors and other officials
in cities across the country have begun to draw on the reams of data at their
disposal—about income, burglaries, traffic, fires, illnesses, parking citations
and more—to tackle many of the problems of urban life. Whether it’s making it
easier for residents to find parking places, or guiding health inspectors to
high-risk restaurants or giving smoke alarms to the households that are most
likely to suffer fatal fires, big-data technologies are beginning to transform
the way cities work.
Cities have just scratched the surface in using data
to improve operations, but big changes are already under way in leading smart
cities, says Stephen Goldsmith, a professor of government and director of the
Innovations in Government Program at the Harvard Kennedy School. “In terms of
city governance, we are at one of the most consequential periods in the last
century,” he says.
Although cities have been using data in various forms
for decades, the modern practice of civic analytics has only begun to take off
in the past few years, thanks to a host of technological changes. Among them:
the growth of cloud computing, which dramatically lowers the costs of storing
information; new developments in machine learning, which put advanced
analytical tools in the hands of city officials; the Internet of Things and the
rise of inexpensive sensors that can track a vast array of information such as
gunshots, traffic or air pollution; and the widespread use of smartphone apps and
mobile devices that enable citizens and city workers alike to monitor problems
and feed information about them back to city hall.
All this data collection raises understandable privacy
concerns. Most cities have policies designed to safeguard citizen privacy and
prevent the release of information that might identify any one individual. In
theory, anyway. In reality, even when publicly available data is stripped of
personally identifiable information, tech-savvy users can combine it with other
data sets to figure out an awful lot of information about any individual.
Widespread use of sensors and video can also present privacy risks unless
precautions are taken. The technology “is forcing cities to confront questions
of privacy that they haven’t had to confront before,” says Ben Green, a fellow
at Harvard’s Berkman Klein Center for Internet and Society and lead author of a
recent report on open-data privacy.
Still, cities are moving ahead, finding more ways to
use the considerable amounts of data at their disposal. Here’s a look at some
of the ways the information revolution is changing the way cities are run—and
the lives of its residents.
Spotting potential problems… before they occur
Perhaps the most innovative way cities are employing
data is to anticipate problems.
Consider the risk of death by fire. Although declining
nationally, there still were 2,685 civilian deaths in building fires in 2015,
the latest year for which data is available. The presence of smoke alarms is
critical in preventing these deaths; the National Fire Protection Association,
a nonprofit standards group, says a working fire alarm cuts the risk of dying
in a home fire in half.
New Orleans, like most cities, has a program run by
its Fire Department to distribute smoke detectors. But until recently, the
program relied on residents to request an alarm. After a fire in which five
people, three children, their mother and grandmother perished, the department
started looking for a way to make sure that they were getting alarms into homes
where they could make a difference.
Oliver Wise, director of the city’s Office of
Performance and Accountability, had his data team tap two Census Bureau surveys
to identify city blocks most likely to contain homes without smoke detectors
and at the greatest risk for fire fatalities—those with young children or the
elderly. They then used other data to zero in on neighborhoods with a history
of house fires. Using advanced machine-learning techniques, Mr. Wise’s office
produced a map that showed those blocks where fire deaths were most likely to
occur and where the Fire Department could target its smoke-detector
distribution.
Since the data program began in early 2015, the
department has installed about 18,000 smoke detectors, says Tim McConnell,
chief of the New Orleans Fire Department. That compares with no more than 800
detectors a year under the older program. It is too early to tell how effective
it has been at preventing fire deaths, Chief McConnell says, since they are so
rare. But the program did have an early, notable success.
A few months after the program began, firefighters
responded to a call in Central New Orleans. Arriving, the fire crew found three
families—11 people in all—huddled on the lawn. The residents had been alerted
by smoke detectors recently installed under the outreach program.
“That was just one of those stories where you go,
‘This works,’ ” Chief McConnell says. “For us, it’s a game changer.”
Predictive analytics have also been used to improve
restaurant health inspections in Chicago. The Department of Public Health
relies on about three dozen inspectors to check for possible violations at more
than 15,000 food establishments across the city. It needed a better way to
prioritize inspections to make sure that places with potential critical
violations—those that carry the greatest risk for the spread of food-borne
illness—were examined before someone actually became sick.
The data team in the city’s Department of Innovation
and Technology developed an algorithm that looked at 11 variables, including
whether the restaurant had previous violations, how long it has been in
business (the longer, the better), the weather (violations are more likely when
it’s hot), even stats about nearby burglaries (which tells something about the
neighborhood, though analysts aren’t sure what).
CHECK, PLEASE | To prioritize restaurant inspections,
Chicago developed an algorithm to identify eateries most likely to have
violations. The darker the pink, the higher the likelihood. PHOTO: CITY OF
CHICAGO
With the tool, the health department could identify
establishments that were most likely to have problems and move them up the list
for inspection. After the algorithm went into use in 2015, a follow-up analysis
found that inspectors were visiting restaurants with possible critical
violations seven days sooner than before. Since then, its use has resulted in a
15% rise in the number of critical violations found, though the number of
illness complaints—an imperfect measure of violations—has been flat.
Sensors on everything
Just as individuals are flocking to Fitbits and other
wearables to monitor their health, cities, too, are turning to sensors to track
their own vital signs. Through this Internet of Things, sensor-equipped water
pipes can identify leaks, electric meters can track power use, and parking
meters can automatically flag violations.
As part of a smart-city initiative, Kansas City, Mo.,
has installed computer-equipped sensors on streetlights along a 2.2-mile
light-rail line that opened in March of last year. The city uses video from the
sensors to gather information about traffic and available street parking along
the corridor. The data is then made available on a public website that shows
the location of streetcars, areas where traffic is moving slowly, and locations
with open parking spots. It also provides an hourly traffic count in the
corridor for the past day.
The sensors can even count foot traffic, which could
assist entrepreneurs looking to open a new coffee shop or retail outlet, and
help city officials estimate the size of crowds, which is useful in responding
to public disturbances or in assigning cleanup crews after events like the
city’s 2015 World Series parade. Their ability to detect motion also can be
used to adjust the LED streetlights so that they dim if no one is around and
automatically brighten if cars or pedestrians pass by. The goal is to use data
to “improve our efficiency of service and ascertain what services we ought to
be providing,” says Bob Bennett, Kansas City’s chief innovation officer.
Cities are also putting sensors in the hands of
citizens. In Louisville, Ky., a coalition of public, private and philanthropic
organizations has provided more than 1,000 sensor-equipped inhalers to asthma
sufferers to map where in the city poor air quality is triggering breathing
problems. The tiny sensors, from Propeller Health, a Madison, Wis.,
medical-device company, have built-in GPS that collects time and location data
with each puff of the inhaler.
The city is still completing its analysis of the data,
but early findings were impressive, says Grace Simrall, Louisville’s chief of
civic innovation. For one thing, patients in the program saw measurable
improvement, in part by giving them a better understanding of their disease,
and their physicians more information to devise treatment plans. And as
expected, the data made it possible to show clusters of inhaler use and link it
with air pollution.
In one case, sensor data spotlighted a congested road
on the east side of town where inhaler use was three times as high as in other
parts of the city. In response, the city planted a belt of trees separating the
road from a nearby residential neighborhood; the plantings have resulted in a
60% reduction in particulate matter (which can aggravate breathing problems)
behind the green belt.
Citizens as data collectors
Using the public as data collectors isn’t new—it’s the
idea behind 911 and 311 systems. But smartphone apps, in the hands of residents
and city workers, give cities new and more powerful ways to expand their
data-collection efforts.
In Mobile, Ala., building-code inspectors armed with
smartphones and Facebook Inc.’s Instagram photo-sharing app were able to
inventory the city’s 1,200 blighted properties in just eight days—a task that
enforcement officers had previously considered impossible with the older
paper-based systems of tracking blight. With Instagram, inspectors could snap a
photo of a property and have it appear on a map, showing officials where
dilapidated, abandoned or other problem properties are clustered.
The inventory was just the first step. Mobile’s
two-year-old Innovation Team, funded with a grant from Bloomberg
Philanthropies, cross-referenced the data with other available property
information—tax records, landmark status, out-of-state ownership—to compile a
“blight index,” a master profile of every problem property in the city. This
made it possible to identify which property owners might need assistance in
rehabbing their properties and which ones to cite for code violations. The city
is wrapping up a second survey of blighted properties to measure the net change
over the past year, says Jeff Carter, Innovation Team’s executive director.
“Instagram was phase one, and we would never have made it to phase two without
it,” Mr. Carter says.
Mobile data collection is also helping Los Angeles to
clean up city streets. Teams from the city sanitation department use video and
smartphones to document illegal dumping, abandoned bulky items and other trash
problems. The teams can use an app to report problems needing immediate
attention, but what was really noteworthy—especially for a city the size of
L.A.—was that they were able to view and grade all 22,000 miles of the city’s
streets and alleyways.
The result has been to give officials and the public a
better picture of garbage-plagued areas that can be targeted under Mayor Eric
Garcetti’s Clean Streets program. Data collected by the mobile teams is
compiled in a detailed map of the city, with each street segment rated as being
clean, somewhat clean and not clean. The city publishes the map online so that
anyone can get a color-coded view of how streets rank for cleanliness.
The program, which recently finished its first full
year, has resulted in an 80% reduction in the number of areas scored “not
clean,” says Lilian Coral, Los Angeles’s chief data officer. The new
data-driven approach not only has made it possible to better identify problem
areas, Ms. Coral says, but it also has helped to reduce disparities in the
city’s cleanup efforts, which previously depended mainly on complaints to
identify locations needing attention.
In Boston, meanwhile, the city has joined with Waze, a
navigation app from Google that enables drivers to share traffic and road
conditions in real time.
The Boston traffic-management center uses Waze data to
supplement live feeds from its network of traffic cameras and sensors, getting
a more detailed picture of what’s happening on city streets. Messages from Waze
users can alert the center to traffic problems—a double-parked truck or a
fender-bender—as soon as they develop, allowing officials to respond more
quickly.
Waze data also has helped the city to run low-cost
experiments on possible traffic changes. For instance, to test how to best
enforce “don’t block the box” at congested intersections, the center took more
than 20 problem intersections and assigned each one either a changing message
sign, a police officer or no intervention at all. Using Waze data, analysts
would then see which enforcement approach was most effective at reducing
congestion. As it turns out, Waze’s traffic-jam data didn’t show that either
approach made much difference in reducing congestion (which may reinforce the
view of those who believe little can be done to eliminate traffic headaches).
The partnership, one of 250 that Waze has signed with
cities around the world, also enables the city to feed street-closure and
similar information into the Waze app, making it easier for drivers to reroute
trips before they get stuck in traffic.
“When residents see a problem, sometimes their
reaction is to call us, but more these days their instinct is to report it
through an app like Waze or Yelp, ” says Andrew Therriault, Boston’s chief data
officer. “To be as responsive as possible to the public’s needs, we need to
listen to their input through whichever medium they choose to share it.”
Mr. Totty, a former news editor for The Journal Report
in San Francisco, can be reached at reports@wsj.com.
Appeared in the Apr. 17, 2017, print edition.
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