Loading article…
Logo

Businessabc provides digital business directory, digital blockchain AI certification, resources, and marketplace for businesses, organisations, and professionals.

Contacts

Contact

Follow Us

Produced by

Partner logo
Partner logo

In collaboration with

Partner logo
Partner logo
Partner logo
Partner logo
Partner logo
Partner logo

Copyright 2025 © Businessabc powered by

Powered by ztudium group

DisclaimerPrivacy PolicyTerms of Service
Partner logo
Partner logo

tech data smart cities

Privacy Gray Areas In Smart City Technologies

citiesabc news

AI,Big Data,IoT,Smart Cities,Technology

01 May 2020

Privacy Gray Areas In Smart City Technologies

Is the pandemic highlighting just how powerful (and invasive) smart city technology will be? 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 are 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.

Project Director, Philip James, shared a video on how machine learning was used to monitor pedestrian flow and measure social distancing. The clip illustrates how surveillance cameras can be used in combination with machine learning to gather data on mobility patterns.

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 the 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.

Previous

Covid-19 Is a Chance to Build a new cities abc Magna Carta with 4IR, smart cities Tech, Blockchain AI

Next

This Is How Smart Cities Can Defend Against Pandemics

Share

citiesabc news

citiesabc news

Citiesabc was created by a team of global industry leaders, academics and experts to create new solutions, resources, rankings and connections for the world’s top cities and populations.

Read more

More Articles

article cover

How QR Payments Impact Low Deposit Online Casinos

article cover

New to Crypto? Selecting an Exchange That Suits

article cover

test test test

article cover

What drives Co-creators beyond monetary rewards?

article cover

Top 5 Efficient Risk Management Techniques for Active Traders

article cover

Building Brand Authority: Establishing Trust and Credibility Through Social Media Marketing