Public Health Perspectives on Green Efficiency in Smart Cities
Author Information
Author(s): Sun Jingjing, Guan Xin, Yuan Siqi, Guo Yalin, Tan Yepei, Gao Yajuan
Primary Institution: Guangzhou University
Hypothesis
What are public perceptions and attitudes toward smart cities, AI in healthcare, and low-carbon building materials?
Conclusion
The study found significant public awareness and diverse attitudes toward smart cities, AI in healthcare, and low-carbon building materials, indicating a need for improved communication and advocacy.
Supporting Evidence
- 80% of respondents are aware of smart cities, with 60% associating them with environmental protection.
- 70% of respondents are aware of AI in medicine, but only 45% see it as environmentally beneficial.
- 60% of respondents are willing to pay more for low-carbon building materials, and 65% recognize their positive environmental impact.
Takeaway
People know about smart cities and AI in healthcare, but they have mixed feelings about how good they are for the environment. They also like low-carbon building materials and are willing to pay more for them.
Methodology
The study used a survey of 200 respondents and developed a convolutional neural network (CNN) model to predict the performance of low-carbon building materials.
Potential Biases
Potential biases in public perception due to overestimation of understanding and varying levels of acceptance of new technologies.
Limitations
The study's sample size and scope of survey questions may limit the representativeness and reliability of the results.
Participant Demographics
60% male, predominantly aged between 31 and 60 years.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website