Explanatory Variables for US and Canadian Downtowns
Description
This dataset agglomerates various employment, socio-economic, environmental, and urban form factors for 62 downtowns in the United States and Canada, used for the paper: "Can We Save The Downtown? Examining Pandemic Recovery and Polycentricity Trajectories across 62 North American Cities" by Leong, Huang, Moore, Chapple, et al. Variables include those geographically agglomerated throughout the entire downtown as well as in the entire city. The units for the data are: Household Income and Rent: USD (2019) Commute Times: Minutes Temperatures: Degrees Fahrenheit Year Housing Structure Built: Year
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Steps to reproduce
US and Canadian Downtowns were defined based on methodology in our paper: "Can We Save The Downtown? Examining Pandemic Recovery and Polycentricity Trajectories across 62 North American Cities" by Leong, Huang, Moore, Chapple, et al. For the geographic areas, data from the US Census Bureau (ACS and LODES), Statistics Canada (Census and Employment by Industry), Oxford University COVID-19 Government Response Tracker, and World Weather Online API was then agglomerated and/or averaged at the downtown or city level.