Future Cities

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Future Cities by Mind Map: Future Cities

1. Transportation

1.1. Autonomous Vehicles

1.1.1. Safety and Ethical Concerns

1.2. Flying Taxis

1.2.1. Is their high cost worth the amount of congestion they can relieve on roads?

1.2.1.1. What is the ecological footprint of one Uber Karem’s “Butterfly" flying taxi? Are they sustainable in the long run as a viable mode of transportation?

1.3. Using more environmentally friendly fuels

1.3.1. Electric cars

1.3.2. Solar powered vehicles

1.4. Curbing the problem of congestion during rush hour

1.4.1. Bike-sharing initiatives

1.4.2. Carpooling

1.4.3. Removal of physical ERP gantries and charging road tax based on distance travelled instead

1.5. Personal Mobility Devices (PMDs)

1.5.1. A convenience or a safety hazard?

1.5.2. More safety regulations, laws and licensing needed to control usage?

2. Renewable Energy

2.1. Solar

2.1.1. Which period of the year and which part of the country would you be able to harvest the greatest amount of solar energy?

2.1.2. How much solar energy must be harvested to offset the initial cost needed to build solar panels?

2.2. Wind

2.2.1. Which period of the year and which part of the country would you be able to harvest the greatest amount of wind energy?

2.2.1.1. Study of differing wind speeds at the NSEW coasts of Singapore

2.3. Hydroelectric

2.3.1. How much energy can we generate by collecting rainwater and releasing it from a height through a pipe filled with mini turbines?

2.4. Nuclear

2.5. Sound energy

2.5.1. Converting the sound of raindrops to electricity using plastic sheets

3. Resource Management

3.1. Water Treatment

3.1.1. Use of plain quartz fibre and carbon nanotubes to build water filters that remove heavy metal ions from polluted water

3.2. Land use

3.2.1. Building underground transportation system and high density buildings to save space

3.3. People

4. Advanced Healthcare

4.1. Use of nanotechnology for increased efficiency in drug delivery

4.2. Applying robotics to aid patients with disabilities

4.2.1. Can AIs such as Dr. Bot be a viable therapeutic solution to mental health illness patients in Singapore? Could Dr. Bot do better than human psychiatrists?

4.3. Replacing doctors with AIs to diagnose patients' ailments

4.3.1. Would AIs do a better job than doctors in diagnosing illnesses even if they may lack empathy?

4.4. Applying robotics to aid doctors in doing critical surgeries, especially in cases where dexterity greater than our hands can provide is needed

4.5. Personalised medicine according to genetic makeup

5. Population

5.1. Aging

5.1.1. Elderly friendly facilities

5.1.1.1. AI Companionship

5.2. Decreased birth rate

5.2.1. Pro-family policies and incentives

5.2.2. Using Robots to take care of babies

5.2.2.1. Is the iPal robot a viable option in childcare for toddlers from 3 - 5 years old in Singapore? Does it have the emotional capability to substitute adult caretakers?

6. Architecture

6.1. Green Buildings

6.1.1. Saving electricity by using natural lighting

6.1.2. Using rainwater to flush toilets

6.1.3. Green roofs to cool building in place of air conditioning

6.1.3.1. Use of reflective paint to reflect heat away from buildings

6.1.4. Stairs instead of lifts or escalators

7. Security

7.1. Camera Surveillance

7.1.1. Invasion of privacy

7.1.2. Facial recognition algorithms used to track down fugitives trying to escape the authorities

7.1.2.1. How has China's use of facial recognition programs to create a vast surveillance system in Xinjiang affected the social lives of the minority Muslim Uighur population?

7.1.2.2. How accurate is facial recognition technology in predicting the likelihood of any particular person committing a crime just by observing their body language and actions?

7.2. Counter-Terrorism initiatives

7.2.1. Use of social media to spread news of unsafe areas

7.2.2. Using mobile apps to notify authorities of attacker's location and details of the attack

7.3. Cyber Defence

7.3.1. Loss of sensitive, personal information due to cyber attacks on public institutions

8. Lifestyle

8.1. Advertising

8.1.1. Big data analytics able to predict every individual's preferences in terms of consumer products to allow for more targeted advertising

8.1.1.1. Should large companies be allowed to have so much power in controlling the public's taste and preferences? What does the public think?

8.2. Shopping

8.2.1. Online retail

8.2.1.1. Impact of rise of online shops (Lazada, Taobao etc.) on traditional businesses

8.3. Food

8.3.1. Efficient delivery services

8.3.1.1. GrabFood

8.3.1.2. Food Panda

8.3.1.3. Honest Bee

8.3.1.4. Deliveroo

8.3.2. Restaurants

8.3.2.1. Use of drones to serve customers to increase efficiency and reduce manpower required to run business

8.3.2.1.1. Does the use of drones as waiters negatively impact customer service for restaurants? What are the pros and cons? Do they save cost at the end of the day?

8.4. Cashless Payment and Transactions

8.4.1. PayNow

8.4.2. PayLah

8.4.2.1. How secure are cashless modes of payment? What are the ways a hacker can gain access to the money inside your account?

8.4.3. GrabPay

9. Education

9.1. Online Learning

9.1.1. Use of Augmented/Virtual Reality to conduct lab experiments

9.1.1.1. Do students learn better practical lab skills during physical lab sessions or by VR/AR?

9.2. Replacing teachers with artificial intelligence

9.2.1. Does AI have the emotional and empathetic capabilities required to take on the role of an educator for primary school children?

9.2.1.1. How does AI compare as an educator to a human teacher?

9.3. Flipped classrooms