Downtown Recovery and Polycentricity Quotients for US and Canadian Downtowns
Description
This dataset agglomerates calculated recovery and polycentricity quotients 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 reflect calculations from Patterns data by SafeGraph, Inc. The calculated metrics include: Recovery Quotient (Downtown): Proportion of visits from mobile devices detected in the downtown area (specified by zip codes) in the specified week compared to the corresponding week in 2019. Recovery Quotient (City): Proportion of visits from mobile devices detected in the entire city (specified by zip codes) in the specified week compared to the corresponding week in 2019. Location Quotient: Ratio of the Recovery Quotient (Downtown) to the Recovery Quotient (City), reflecting the relative recovery of the downtown and the city.
Files
Steps to reproduce
1. Procure a source of Location-Based Services Data 2. Agglomerate visitation-based data by zip codes and filter for city/downtown definitions. 3. Calculate change in visitation over time between desired month and corresponding month in 2019.