TABLE 3 Marginal Effects for Predicted Probabilities of Poisson Model 3

TABLE 3 Marginal Effects for Predicted Probabilities of Poisson Model 3

Excel | CSV

Variable name Poisson model 3
One-unit change around the mean1 Marginal change1
Household (HH) characteristics
Vehicles in HH −0.187 −0.187
Bikes in HH 0.180 0.179
Type housing unit    
Apart/condo 0.073 0.073
Dorm 1.151 1.031
Income HH 0.090 0.090
Individual characteristics
Age −0.003 −0.003
Female −0.045 −0.045
Driver −0.177 −0.176
Status    
Absent 0.205 0.204
Looking 0.142 0.141
Full-time −0.197 −0.196
Occupation    
Sales/service −0.072 −0.072
Manuf/const/maint −0.164 −0.164
Prof/manag/tech 0.221 0.220
Licensed −0.281 −0.279
Distance-to-work −0.010 −0.010
Walk-exercising 0.227 0.226
Med condition −0.424 −0.416
Graduate 0.116 0.116
Attitudes/perceptions
Traffic accidents (TA)    
TA-No −0.215 −0.214
Highway congestion (HC)    
HC-Very 0.105 0.105
HC-Severe 0.246 0.244
Drunk drivers (DD)    
DD-Severe 0.169 0.168
Price of gasoline (PG)    
PG-No 0.246 0.245
PG-Severe −0.128 −0.128
Walkways/sidewalks (WS)    
WS-Little 0.145 0.144
WS-Somewhat 0.349 0.345
Urban form, neighborhood design, and land-use attributes
Ln(density) 0.026 0.026
Connectivity −0.608 −0.587
Diversity 0.278 0.276
Accessibility −0.676 −0.647
Neighborhood sociodemographics
Age in N −0.003 −0.003
Race in N 0.469 0.459

1 Binary (0-1) dummy indicator variables correspond to a discrete change as the variable changes from 0 to 1.