A. Millard-Ball,M. Reginald,Y. Yusuf,& C. Bian, Global health and climate benefits from walking and cycling infrastructure, Proc. Natl. Acad. Sci

Objective:

• Analyse the impacts of urban form, street design, and other factors on active travel mode shares in 11,587 cities from 121 countries

Case:

• Global cities

Methodology:

• Bayesian hierarchical model: impacts of country-level indicators and city-level variables

Data Source

• Google environmental insights explorer

Findings:

• Walking accounts for ~14.3% of trips in cities in the EIE dataset and cycling a further ~2.1%. Public transportation accounts ~23.0%

• Density, bicycle lanes are the variable with the greatest explanatory power for walk mode share

Coding Reference:

• Python