- Veröffentlicht: 06. Mai 2020
Is the pandemic highlighting just how powerful (and invasive) smart city technology will be?
- Data-powered ‘smart cities’ provide rich insights into social trends
- Insights from surveillance tech and sensors are being used to track the impact of the coronavirus
- Of course, this carries some big implications on privacy
Smart cities rely on the collective intelligence derived from the technologies embedded into the framework and services of its future-forward metropolis
The smart city concept is built on data. Fed back from a metropolis’s worth of sensors and endpoints, data provides insights into how assets, resources and services are being used and how they can be managed more efficiently.
The data – which could be collected from citizens, devices or other assets is processed and analyzed to better manage anything from traffic and transport, power plants, water supplies, waste management.
These IoT-powered systems could even detect crime or track citizen’s health through city hospital visits, in the case of the coronavirus outbreak, they can provide masses of highly valuable big data to help researchers and organizations combat the global health crisis.
One example of applying smart city data in this way is happening right now at the University of Newcastle in the United Kingdom.
Researchers from the Newcastle University Urban Observatory have been using a suite of technologies to measure the impact of social distancing practices on people as well as vehicle mobility within the metropolitan city in real-time.
The team collected information on traffic and pedestrian flow, looking at things like congestion and car park occupancy, using an array of sensors and data sharing agreements. These numbers were then plotted against similarly collected data from 2019.
After analyzing 1.8 billion pieces of observational and other data sources, the team found “pedestrian movement has reduced by 95 percent when compared to the annual average.” This finding suggests the effectiveness in the UK’s effort in enforcing social distancing measures.
Automatic number plate recognition (ANPR) cameras were also used to keep track of vehicle movements and revealed a 50 percent drop in car traffic.
Meanwhile in South Korea, the use of smart technology in cities to curb the spread of the pandemic is carried out on a much larger scale. In Seoul, a dashboard providing updates in real-time has played a major role in flattening the infamous curve.
The dashboard not only reveals the number of infected patients and recovery rates, but also carries details that include the patient’s residence and the activities they engaged in days before being admitted to hospital.
More detailed information like the restaurants that were visited by patients and cinema seat numbers booked can be accessed via the dashboard.
On this database, the patient’s identity is preserved and they aren’t named on the Ministry of Health and Welfare website. Citizens are informed of the personal information collected and the disclosure of their recent whereabouts. Patients are allowed to opt-out or refuse inquiries, as reported in WSJ.
This approach may not bode well with regional regulations such as the European Union’s General Data Protection Regulation (GDPR). This regulation protects and prioritizes the privacy of an individual’s data above all else, but Korea’s response comes from its previous experience in handling other virus outbreaks.
Disseminating vast quantities of data to the public was a lesson learned from their past response towards Middle East Respiratory Syndrome (MERS), another illness also caused by a coronavirus.
The government’s slow response to address a previous MERS outbreak ignited public criticism. One of the main concerns raised was the lack of decisive action and information on the whereabouts of infected individuals, and this led to further spread.
At the time, Seoul Mayor Park Won-Soon held a press conference and commented, “I think information should be disclosed.
“I think information sharing has been very tepid,” Mayor Park said.
Autor(en)/Author(s): Jia Jen Low
Quelle/Source: TechHQ, 29.04.2020