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. 2021 Sep 1;16(9):e0252794. doi: 10.1371/journal.pone.0252794

Table 1. Descriptive summary of dataset using median values.

Variable 1 Interpretation 2019 2020
Feb Mar-May Jun Jul-Nov Dec
Nr establishments Median nr of establishments in cluster 17 17 10 16 16 16
% Large Share of establishments in cluster with Gross Floor Area > 40,000 sq.ft. 3.2% 3.2% 0% 1.5% 1.5% 1.5%
Land value Average land value of cluster ($/sq.m.) per establishment. 1059.0 1059.0
Diversity Simpson’s Diversity Index of cluster by area of establishment types (ranges 0–1) 0.6 0.6 0.1 0.7 0.6 0.6
Parking Number of parking spaces per establishment in cluster 26 26 117 27 26 26
Cluster area Total area of establishments in cluster (thousands of sq.ft.) 146.5 146.5 66.5 128.0 128.0 124.3
% Comparison Share of comparison retail (NAICS 441, 442, 443, 448, 451, 453) establishments in cluster 12.6% 12.6% 0% 14.2% 14.2% 14.3%
% Convenience Share of convenience retail (NAICS 445, 447, 452, 456, 491) establishments in cluster 10.0% 10.0% 18.2% 10.0% 10.0% 11.1%
% F&B Share of food and beverage (NAICS 722) establishments in cluster 32.3% 32.3% 56.2% 32.9% 32.9% 33.3%
% Personal Share of personal care (NAICS 811, 812) establishments in cluster 13.0% 13.0% 0% 14.3% 14.3% 12.0%
Open space Open public space, e.g. parklets, seating areas, etc. (sq.ft.). Source: OpenStreetMap. 1448.0 1448.0

Note: We report the descriptive summary only for OD pairs that are less than 3 kilometers apart. The variables are cluster attributes and depend only on the destination cluster, so we summarize these distributions at the cluster level.