BTS | TABLE 3 Marginal Effects for Predicted Probabilities of Poisson Model 3

TABLE 3 Marginal Effects for Predicted Probabilities of Poisson Model 3

Variable name	Poisson model 3
Variable name	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.