Week 14

Climate change / Resilience

This week, we will discuss how to use Computational Urban science to study climate change and natural disasters in urban areas.

We will have one practical to see how we can use mobility data to understand the impact of hurricanes in our urban areas

Prepare

đź“– Read some papers/reviews we will go over during the lectures and the practicals.

  • Climate change
    • Magnitude of urban heat islands largely explained by climate and population [1]
    • Weather impacts expressed sentiment [2]
  • Natural disasters
    • Mobile phone location data for disasters: A review from natural hazards and epidemics [3]
    • Rapid assessment of disaster damage using social media activity [4]

Participate

🖥️ Lecture 14 - Climate change / Resilience

Perform

⌨️ Lab 14-1 - Natural disasters impact and response



Back to course schedule ⏎

References

[1]
G. Manoli et al., “Magnitude of urban heat islands largely explained by climate and population,” Nature, vol. 573, no. 7772, pp. 55–60, Sep. 2019, doi: 10.1038/s41586-019-1512-9.
[2]
P. Baylis et al., “Weather impacts expressed sentiment,” PLOS ONE, vol. 13, no. 4, p. e0195750, Apr. 2018, doi: 10.1371/journal.pone.0195750.
[3]
T. Yabe, N. K. Jones, P. S. C. Rao, M. C. Gonzalez, and S. V. Ukkusuri, “Mobile phone location data for disasters: A review from natural hazards and epidemics,” Computers, Environment and Urban Systems, vol. 94, p. 101777, 2022.
[4]
Y. Kryvasheyeu et al., “Rapid assessment of disaster damage using social media activity,” Science Advances, vol. 2, no. 3, p. e1500779, Mar. 2016, doi: 10.1126/sciadv.1500779.