Week 15

Analysis of Policy Interventions

This week, we will discuss how to analyze the impact of interventions in urban areas using Computational Urban Science.

Prepare

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

  • Econometric methods for Program Evaluation by Abadie et al. [1]
  • Spatial Causality: a systematic review on Spatial Causal Inference, by Akbar et al. [2]
  • Interdependence and the cost of uncoordinated responses to COVID-19, by Holtz et al. [3]
  • Short run effects of congestion pricing in NYC, by Cook et al. [4]
  • Measuring the impact of slow zones on street life using social media [5]

Participate

🖥️ Lecture 15 - Analysis of Policy Interventions

Perform

⌨️ Lab 15 - Impact of NYC Open Streets on foot traffic



Back to course schedule ⏎

References

[1]
A. Abadie and M. D. Cattaneo, “Econometric Methods for Program Evaluation,” Annual Review of Economics, vol. 10, no. 1, pp. 465–503, Aug. 2018, doi: 10.1146/annurev-economics-080217-053402.
[2]
K. Akbari, S. Winter, and M. Tomko, “Spatial Causality: A Systematic Review on Spatial Causal Inference,” Geographical Analysis, vol. 55, no. 1, pp. 56–89, 2023, doi: 10.1111/gean.12312.
[3]
D. Holtz et al., “Interdependence and the cost of uncoordinated responses to COVID-19,” Proceedings of the National Academy of Sciences, vol. 117, no. 33, pp. 19837–19843, Aug. 2020, doi: 10.1073/pnas.2009522117.
[4]
C. Cook et al., “The Short-Run Effects of Congestion Pricing in New York City.” in Working Paper Series. National Bureau of Economic Research, Mar. 2025. doi: 10.3386/w33584.
[5]
A. Salazar-Miranda, C. Heine, F. Duarte, K. Schechtner, and C. Ratti, “Measuring the impact of slow zones on street life using social media,” Cities, vol. 131, p. 104010, Dec. 2022, doi: 10.1016/j.cities.2022.104010.