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. Author manuscript; available in PMC: 2022 May 1.
Published in final edited form as: Comput Environ Urban Syst. 2021 Jan 29;87:101599. doi: 10.1016/j.compenvurbsys.2021.101599

Table 3.

List of variables in the random forest model for predicting synthetic drug-related activity hot zones

Variable name Category Description
GasStation Built environment Number of gas stations in each U.S. census block group
VacLot Built environment Number of vacant lots in each U.S. census block group
VacBldg Built environment Number of vacant buildings in each U.S. census block group
ParkingLot Built environment Number of parking lots in each U.S. census block group
AlleyDen Built environment Alley density
ParkArea Built environment Area of park propertied in each U.S. census block group
HighSch Built environment Number of high schools in each U.S. census block group
POccupyHouse Built environment % of house occupancy
POwner Built environment % of house ownership
PRenter Built environment % of house rent
AC_UNPR Built environment Total land area (not include park or conservation area)
D3b Built environment Street intersection density
D3bmm3 Built environment Auto- and pedestrian-oriented intersection (three legs) density
D1A Built environment Gross residential density
D1C5_Ret10 Built environment Gross retail employment density
D1D Built environment Gross activity density (employment and house units)
D2A_EPHHM Built environment Employment and household entropy
TotPop Sociodemographic Total population in each U.S. census block group
TotHH Sociodemographic Total households in each U.S. census block group
PMale Sociodemographic Percentage of male population
PFemale Sociodemographic Percentage of female
PWhite Sociodemographic % of population selecting race as white American alone
PBlack Sociodemographic % of population selecting race as black/African American alone
Pasian Sociodemographic % of population selecting race as Asian American alone
Phispanic Sociodemographic % of population selecting race as Hispanic/Latino American alone
PBachelorHigher Sociodemographic % of population with college level degree
MedianHHIncome Sociodemographic Median household income
PPovertyHouse Sociodemographic % of household in poverty status
PPovertyIndv Sociodemographic % of population in poverty status
PEmploy Sociodemographic % of full time and part time employees
Punemploy Sociodemographic % of unemployment
PFulltimeEmploy Sociodemographic % of full-time employment among all employment
PParttimeEmploy Sociodemographic % of part-time employment among all employment
P_WRKAGE Sociodemographic % of population that is working aged
PCT_AO0 Sociodemographic % of zero-car households
PCT_AO2P Sociodemographic % of two-plus-car households
R_HIWAGEWK Sociodemographic Number of high wage workers
R_PCTLOWWA Sociodemographic % low wage workers
E8_RET10 Sociodemographic Retail jobs
E8_OFF10 Sociodemographic Office jobs
HS_t_1 Spatial and temporal lag variables Time-lagged variable (whether this BG belonged to a hotspot at t-1 period)
nb_t_1 Spatial and temporal lag variables Spatiotemporally lagged variable (number of neighboring BGs belonged to a hotspot at t-1 period)
trend Spatial and temporal lag variables Trend variable (increase or decrease in the number of neighboring block groups that belonged to a hotspot at t-1 period)
  NODES