By Community or Design? Age-restricted Neighbourhoods, Physical Design and Baby Boomers' Local Travel Behaviour in Suburban Boston, US

Christopher Zegras, Jae Seung Lee and Eran Ben-Joseph, 2012, in Urban Studies

doi:10.1177/0042098011429485
Location Boston
Population Seniors
Sample size nan
Factor analysis type exploratory factor analysis, unknown rotation
Stepwise regression nan
Removal of insignificant variables nan
Reviewed by AR/MWC

Factors

Variable Pattern loading
I prefer neighbors at the same stage of life as me (Res preference/perception) 1
I prefer living around people who are similar to me (Res preference/perception) 0.589
I am concerned about strangers walking through my neighborhood (Res preference/perception) 0.462
I like to live in a neighborhood without children in it (Res preference/perception) 0.354
Variable Pattern loading
I prefer to have shops and services within walking distance (Res preference/perception) 1
I do not value space around my house more than shops nearby (Res preference/perception) 0.889
I like a neighborhood containing housing, shops and services (Res preference/perception) 0.927
I do not prefer a lot of space between my home and the street (Res preference/perception) 0.515
I prefer a house close to the sidewalk so that I can see passerby (Res preference/perception) 0.621
Variable Pattern loading
I prefer neighbors at the same stage of life as me (Res preference/perception) 1
I prefer living around people who are similar to me (Res preference/perception) 0.586
I am concerned about strangers walking through my neighborhood (Res preference/perception) 0.457
I like to live in a neighborhood without children in it (Res preference/perception) 0.353
Variable Pattern loading
I prefer to have shops and services within walking distance (Res preference/perception) 1
I do not value space around my house more than shops nearby (Res preference/perception) 0.888
I like a neighborhood containing housing, shops and services (Res preference/perception) 0.926
I do not prefer a lot of space between my home and the street (Res preference/perception) 0.515
I prefer a house close to the sidewalk so that I can see passerby (Res preference/perception) 0.62
Variable Pattern loading
I prefer neighbors at the same stage of life as me (Res preference/perception) 1
I prefer living around people who are similar to me (Res preference/perception) 0.593
I am concerned about strangers walking through my neighborhood (Res preference/perception) 0.465
I like to live in a neighborhood without children in it (Res preference/perception) 0.354
Variable Pattern loading
I prefer to have shops and services within walking distance (Res preference/perception) 1
I do not value space around my house more than shops nearby (Res preference/perception) 0.893
I like a neighborhood containing housing, shops and services (Res preference/perception) 0.929
I do not prefer a lot of space between my home and the street (Res preference/perception) 0.52
I prefer a house close to the sidewalk so that I can see passerby (Res preference/perception) 0.625
Variable Pattern loading
I prefer neighbors at the same stage of life as me (Res preference/perception) 1
I prefer living around people who are similar to me (Res preference/perception) 0.588
I am concerned about strangers walking through my neighborhood (Res preference/perception) 0.459
I like to live in a neighborhood without children in it (Res preference/perception) 0.352
Variable Pattern loading
I prefer to have shops and services within walking distance (Res preference/perception) 1
I do not value space around my house more than shops nearby (Res preference/perception) 0.893
I like a neighborhood containing housing, shops and services (Res preference/perception) 0.929
I do not prefer a lot of space between my home and the street (Res preference/perception) 0.52
I prefer a house close to the sidewalk so that I can see passerby (Res preference/perception) 0.625

Models

Dependent variable Social Trips- ZINB without latent variables
Model type zero-inflated negative binomial
Sample size 1410.0
R2 nan
Adjusted R2
Pseudo R2 (nan) nan
AIC nan
BIC nan
Log-likelihood at zero nan
Log-likelihood at constants nan
Log-likelihood at convergence nan
Logit model 'likelihood of being in non-active group'
Variable Coefficient p-value
Age-restricted 0.03 0.953
Grid 0.543 0.355
Loop 0.147 0.788
Intersection density -1.379 0.303
Facilities -0.486 0.925
Destination 400 -0.395 0.377
MBTA bus stop -1.404 0.514
Commuter rail 1.2 0.053
Street length -0.008 0.638
Employ 0.525 0.184
Healthy 0.307 0.592
Male 0.819 0.027
Age 0.051 0.288
High income 0.4 0.597
Mid income 0.452 0.451
Three vehicles -0.36 0.579
Bike 0.074 0.818
Constant -4.486 0.204
Negative bionomial model 'number of NMT trips among active group'
Variable Coefficient p-value
Age-restricted 0.576 0.007
Grid 0.115 0.557
Loop -0.157 0.433
Intersection density -0.264 0.384
Facilities -0.188 0.312
Destination 400 0.142 0.412
MBTA bus stop -0.659 0.171
Commuter rail 0.342 0.041
Street length -0.008 0.253
Employ -0.368 0.029
Healthy -0.006 0.974
Male 0.144 0.35
Age 0.048 0.017
High income -0.262 0.328
Mid income -0.155 0.434
Three vehicles -0.185 0.448
Bike 0.262 0.049
Constant -2.518 0.05
Variable Coefficient p-value
Alpha 0.36 0.094
Dependent variable Recreational NMT Trips-ZINB without latent variables
Model type zero-inflated negative binomial
Sample size 1456.0
R2 nan
Adjusted R2
Pseudo R2 (nan) nan
AIC nan
BIC nan
Log-likelihood at zero nan
Log-likelihood at constants nan
Log-likelihood at convergence nan
Logit model 'likelihood of being in non-active group'
Variable Coefficient p-value
Age-restricted -0.519 0.034
Grid -0.172 0.345
Loop 0.059 0.742
Intersection density -0.296 0.483
Facilities -0.027 0.87
Destination 400 0.017 0.915
MBTA bus stop -0.166 0.558
Commuter rail -0.053 0.768
Street length 0.004 0.657
Employ 0.578 0.001
Healthy -0.743 0.0
Male 0.027 0.84
Age 0.011 0.582
High income -0.129 0.529
Mid income 0.053 0.78
Three vehicles -0.096 0.558
Bike -0.449 0.002
Constant -0.466 0.719
Negative bionomial model 'number of NMT trips among active group'
Variable Coefficient p-value
Age-restricted 0.053 0.542
Grid 0.001 0.988
Loop -0.034 0.617
Intersection density -0.05 0.664
Facilities 0.0 1.0
Destination 400 0.128 0.033
MBTA bus stop 0.101 0.35
Commuter rail -0.163 0.017
Street length 0.001 0.739
Employ -0.227 0.0
Healthy 0.065 0.405
Male -0.02 0.683
Age -0.004 0.568
High income -0.015 0.839
Mid income -0.035 0.622
Three vehicles -0.038 0.546
Bike 0.034 0.537
Constant 1.569 0.0
Variable Coefficient p-value
Alpha 0.089 0.0
Source variable Target variable Effect p-value Effect type
Age-restricted Likelihood of being in non-active group -0.602 0.016 direct_effect
Pro Walkability (Recreational NMT) Likelihood of being in non-active group -0.212 0.031 direct_effect
Pro Segregation (Recreational NMT) Likelihood of being in non-active group 0.21 0.027 direct_effect
Grid Likelihood of being in non-active group -0.188 0.299 direct_effect
Loop Likelihood of being in non-active group 0.055 0.761 direct_effect
Intersection density Likelihood of being in non-active group -0.211 0.609 direct_effect
Facilities Likelihood of being in non-active group -0.01 0.952 direct_effect
Destination 400 Likelihood of being in non-active group 0.06 0.709 direct_effect
MBTA bus stop Likelihood of being in non-active group -0.092 0.746 direct_effect
Commuter rail Likelihood of being in non-active group -0.041 0.824 direct_effect
Street length Likelihood of being in non-active group 0.002 0.824 direct_effect
Employ Likelihood of being in non-active group 0.606 0.0 direct_effect
Healthy Likelihood of being in non-active group -0.788 0.0 direct_effect
Male Likelihood of being in non-active group -0.048 0.726 direct_effect
Age Likelihood of being in non-active group 0.012 0.549 direct_effect
High income Likelihood of being in non-active group -0.102 0.622 direct_effect
Mid income Likelihood of being in non-active group 0.067 0.724 direct_effect
Three vehicles Likelihood of being in non-active group -0.165 0.323 direct_effect
Bike Likelihood of being in non-active group -0.43 0.004 direct_effect
Constant Likelihood of being in non-active group -0.509 0.698 direct_effect
Age-restricted Number of NMT trips among active group 0.078 0.37 direct_effect
Pro Walkability (Recreational NMT) Number of NMT trips among active group -0.032 0.4 direct_effect
Pro Segregation (Recreational NMT) Number of NMT trips among active group -0.037 0.304 direct_effect
Grid Number of NMT trips among active group 0.007 0.919 direct_effect
Loop Number of NMT trips among active group -0.029 0.67 direct_effect
Intersection density Number of NMT trips among active group -0.052 0.645 direct_effect
Facilities Number of NMT trips among active group 0.01 0.88 direct_effect
Destination 400 Number of NMT trips among active group 0.139 0.021 direct_effect
MBTA bus stop Number of NMT trips among active group 0.099 0.346 direct_effect
Commuter rail Number of NMT trips among active group -0.177 0.009 direct_effect
Street length Number of NMT trips among active group 0.0 1.0 direct_effect
Employ Number of NMT trips among active group -0.234 0.0 direct_effect
Healthy Number of NMT trips among active group 0.063 0.419 direct_effect
Male Number of NMT trips among active group -0.022 0.653 direct_effect
Age Number of NMT trips among active group -0.003 0.668 direct_effect
High income Number of NMT trips among active group -0.014 0.85 direct_effect
Mid income Number of NMT trips among active group -0.041 0.564 direct_effect
Three vehicles Number of NMT trips among active group -0.046 0.458 direct_effect
Bike Number of NMT trips among active group 0.03 0.585 direct_effect
Constant Number of NMT trips among active group 1.552 0.0 direct_effect
Alpha Number of NMT trips among active group 0.088 0.0 direct_effect
Employ Pro Walkability (Recreational NMT) -0.01 0.881 direct_effect
Healthy Pro Walkability (Recreational NMT) -0.024 0.772 direct_effect
Male Pro Walkability (Recreational NMT) -0.226 0.0 direct_effect
Age Pro Walkability (Recreational NMT) -0.001 0.901 direct_effect
High income Pro Walkability (Recreational NMT) 0.044 0.629 direct_effect
Mid income Pro Walkability (Recreational NMT) -0.094 0.24 direct_effect
Three vehicles Pro Walkability (Recreational NMT) -0.301 0.0 direct_effect
Bike Pro Walkability (Recreational NMT) -0.046 0.499 direct_effect
Employ Pro Segregation (Recreational NMT) -0.167 0.01 direct_effect
Healthy Pro Segregation (Recreational NMT) 0.124 0.126 direct_effect
Male Pro Segregation (Recreational NMT) 0.126 0.01 direct_effect
Age Pro Segregation (Recreational NMT) -0.001 0.901 direct_effect
High income Pro Segregation (Recreational NMT) -0.03 0.742 direct_effect
Mid income Pro Segregation (Recreational NMT) -0.077 0.33 direct_effect
Three vehicles Pro Segregation (Recreational NMT) 0.029 0.679 direct_effect
Bike Pro Segregation (Recreational NMT) -0.128 0.049 direct_effect
Source variable Target variable Effect p-value Effect type
Age-restricted Likelihood of being in non-active group -0.61 0.015 direct_effect
Pro Walkability (Recreational NMT with neighborhood choice) Likelihood of being in non-active group -0.213 0.028 direct_effect
Pro Segregation (Recreational NMT with neighborhood choice) Likelihood of being in non-active group 0.208 0.027 direct_effect
Grid Likelihood of being in non-active group -0.188 0.299 direct_effect
Loop Likelihood of being in non-active group 0.056 0.757 direct_effect
Intersection density Likelihood of being in non-active group -0.21 0.611 direct_effect
Facilities Likelihood of being in non-active group -0.009 0.957 direct_effect
Destination 400 Likelihood of being in non-active group 0.06 0.709 direct_effect
MBTA bus stop Likelihood of being in non-active group -0.093 0.743 direct_effect
Commuter rail Likelihood of being in non-active group -0.041 0.824 direct_effect
Street length Likelihood of being in non-active group 0.002 0.824 direct_effect
Employ Likelihood of being in non-active group 0.606 0.0 direct_effect
Healthy Likelihood of being in non-active group -0.788 0.0 direct_effect
Male Likelihood of being in non-active group -0.048 0.726 direct_effect
Age Likelihood of being in non-active group 0.012 0.549 direct_effect
High income Likelihood of being in non-active group -0.102 0.622 direct_effect
Mid income Likelihood of being in non-active group 0.066 0.728 direct_effect
Three vehicles Likelihood of being in non-active group -0.165 0.323 direct_effect
Bike Likelihood of being in non-active group -0.43 0.004 direct_effect
Constant Likelihood of being in non-active group -0.511 0.697 direct_effect
Age-restricted Number of NMT trips among active group -0.08 0.363 direct_effect
Pro Walkability (Recreational NMT with neighborhood choice) Number of NMT trips among active group -0.031 0.415 direct_effect
Pro Segregation (Recreational NMT with neighborhood choice) Number of NMT trips among active group -0.037 0.304 direct_effect
Grid Number of NMT trips among active group 0.007 0.919 direct_effect
Loop Number of NMT trips among active group -0.029 0.67 direct_effect
Intersection density Number of NMT trips among active group -0.052 0.645 direct_effect
Facilities Number of NMT trips among active group 0.01 0.88 direct_effect
Destination 400 Number of NMT trips among active group 0.139 0.021 direct_effect
MBTA bus stop Number of NMT trips among active group 0.099 0.346 direct_effect
Commuter rail Number of NMT trips among active group -0.177 0.009 direct_effect
Street length Number of NMT trips among active group 0.0 1.0 direct_effect
Employ Number of NMT trips among active group -0.234 0.0 direct_effect
Healthy Number of NMT trips among active group 0.063 0.419 direct_effect
Male Number of NMT trips among active group -0.022 0.653 direct_effect
Age Number of NMT trips among active group -0.003 0.668 direct_effect
High income Number of NMT trips among active group -0.014 0.85 direct_effect
Mid income Number of NMT trips among active group -0.041 0.564 direct_effect
Three vehicles Number of NMT trips among active group -0.046 0.458 direct_effect
Bike Number of NMT trips among active group 0.03 0.585 direct_effect
Constant Number of NMT trips among active group 1.552 0.0 direct_effect
Alpha Number of NMT trips among active group 0.088 0.0 direct_effect
Employ Pro Walkability (Recreational NMT with neighborhood choice) -0.011 0.871 direct_effect
Healthy Pro Walkability (Recreational NMT with neighborhood choice) -0.024 0.775 direct_effect
Male Pro Walkability (Recreational NMT with neighborhood choice) -0.227 0.0 direct_effect
Age Pro Walkability (Recreational NMT with neighborhood choice) 0.003 0.708 direct_effect
High income Pro Walkability (Recreational NMT with neighborhood choice) 0.044 0.629 direct_effect
Mid income Pro Walkability (Recreational NMT with neighborhood choice) -0.094 0.24 direct_effect
Three vehicles Pro Walkability (Recreational NMT with neighborhood choice) -0.301 0.0 direct_effect
Bike Pro Walkability (Recreational NMT with neighborhood choice) -0.046 0.499 direct_effect
Employ Pro Segregation (Recreational NMT with neighborhood choice) -0.168 0.01 direct_effect
Healthy Pro Segregation (Recreational NMT with neighborhood choice) 0.125 0.118 direct_effect
Male Pro Segregation (Recreational NMT with neighborhood choice) 0.126 0.01 direct_effect
Age Pro Segregation (Recreational NMT with neighborhood choice) -0.001 0.901 direct_effect
High income Pro Segregation (Recreational NMT with neighborhood choice) -0.031 0.733 direct_effect
Mid income Pro Segregation (Recreational NMT with neighborhood choice) -0.077 0.33 direct_effect
Three vehicles Pro Segregation (Recreational NMT with neighborhood choice) 0.029 0.679 direct_effect
Bike Pro Segregation (Recreational NMT with neighborhood choice) -0.128 0.049 direct_effect
Pro Walkability (Recreational NMT with neighborhood choice) Likelihood of choosing age-restricted neighborhood 0.14 0.434 direct_effect
Pro Segregation (Recreational NMT with neighborhood choice) Likelihood of choosing age-restricted neighborhood 0.81 0.0 direct_effect
Loop Likelihood of choosing age-restricted neighborhood 5.979 0.0 direct_effect
Intersection density Likelihood of choosing age-restricted neighborhood 2.206 0.0 direct_effect
Facilities Likelihood of choosing age-restricted neighborhood 3.393 0.0 direct_effect
Destination 400 Likelihood of choosing age-restricted neighborhood -0.116 0.698 direct_effect
MBTA bus stop Likelihood of choosing age-restricted neighborhood -2.647 0.005 direct_effect
Commuter rail Likelihood of choosing age-restricted neighborhood 0.199 0.646 direct_effect
Street length Likelihood of choosing age-restricted neighborhood 0.106 0.0 direct_effect
Employ Likelihood of choosing age-restricted neighborhood -0.259 0.337 direct_effect
Healthy Likelihood of choosing age-restricted neighborhood 0.53 0.119 direct_effect
Male Likelihood of choosing age-restricted neighborhood -0.442 0.021 direct_effect
Age Likelihood of choosing age-restricted neighborhood 0.205 0.0 direct_effect
High income Likelihood of choosing age-restricted neighborhood 1.302 0.001 direct_effect
Mid income Likelihood of choosing age-restricted neighborhood 0.47 0.153 direct_effect
Three vehicles Likelihood of choosing age-restricted neighborhood -0.268 0.54 direct_effect
Bike Likelihood of choosing age-restricted neighborhood -0.323 0.226 direct_effect
Source variable Target variable Effect p-value Effect type
Age-restricted Likelihood of being in non-social group -0.102 0.867 direct_effect
Pro Walkability (Social) Likelihood of being in non-social group -0.24 0.419 direct_effect
Pro Segregation (Social) Likelihood of being in non-social group 0.192 0.497 direct_effect
Grid Likelihood of being in non-social group 0.4 0.449 direct_effect
Loop Likelihood of being in non-social group 0.087 0.848 direct_effect
Intersection density Likelihood of being in non-social group -1.175 0.269 direct_effect
Facilities Likelihood of being in non-social group -0.36 0.402 direct_effect
Destination 400 Likelihood of being in non-social group -0.217 0.631 direct_effect
MBTA bus stop Likelihood of being in non-social group -1.066 0.615 direct_effect
Commuter rail Likelihood of being in non-social group 1.108 0.065 direct_effect
Street length Likelihood of being in non-social group -0.013 0.417 direct_effect
Employ Likelihood of being in non-social group 0.56 0.12 direct_effect
Healthy Likelihood of being in non-social group 0.374 0.53 direct_effect
Male Likelihood of being in non-social group 0.748 0.076 direct_effect
Age Likelihood of being in non-social group 0.04 0.374 direct_effect
High income Likelihood of being in non-social group 0.382 0.575 direct_effect
Mid income Likelihood of being in non-social group 0.458 0.447 direct_effect
Three vehicles Likelihood of being in non-social group -0.402 0.551 direct_effect
Bike Likelihood of being in non-social group 0.048 0.877 direct_effect
Constant Likelihood of being in non-social group -3.778 0.282 direct_effect
Age-restricted Number of social trips among social group 0.479 0.045 direct_effect
Pro Walkability (Social) Number of social trips among social group -0.018 0.888 direct_effect
Pro Segregation (Social) Number of social trips among social group 0.156 0.16 direct_effect
Grid Number of social trips among social group 0.046 0.82 direct_effect
Loop Number of social trips among social group -0.182 0.323 direct_effect
Intersection density Number of social trips among social group -0.244 0.371 direct_effect
Facilities Number of social trips among social group -0.166 0.337 direct_effect
Destination 400 Number of social trips among social group 0.196 0.315 direct_effect
MBTA bus stop Number of social trips among social group -0.603 0.311 direct_effect
Commuter rail Number of social trips among social group 0.352 0.053 direct_effect
Street length Number of social trips among social group -0.009 0.134 direct_effect
Employ Number of social trips among social group -0.327 0.03 direct_effect
Healthy Number of social trips among social group -0.006 0.975 direct_effect
Male Number of social trips among social group 0.144 0.347 direct_effect
Age Number of social trips among social group 0.043 0.032 direct_effect
High income Number of social trips among social group -0.259 0.306 direct_effect
Mid income Number of social trips among social group -0.126 0.543 direct_effect
Three vehicles Number of social trips among social group -0.194 0.457 direct_effect
Bike Number of social trips among social group 0.261 0.046 direct_effect
Constant Number of social trips among social group -2.243 0.089 direct_effect
Alpha Number of social trips among social group 0.301 0.132 direct_effect
Employ Pro Walkability (Social) -0.01 0.881 direct_effect
Healthy Pro Walkability (Social) -0.024 0.772 direct_effect
Male Pro Walkability (Social) -0.226 0.0 direct_effect
Age Pro Walkability (Social) 0.004 0.617 direct_effect
High income Pro Walkability (Social) 0.044 0.629 direct_effect
Mid income Pro Walkability (Social) -0.093 0.239 direct_effect
Three vehicles Pro Walkability (Social) -0.3 0.0 direct_effect
Bike Pro Walkability (Social) -0.046 0.492 direct_effect
Employ Pro Segregation (Social) -0.167 0.01 direct_effect
Healthy Pro Segregation (Social) 0.124 0.126 direct_effect
Male Pro Segregation (Social) 0.126 0.01 direct_effect
Age Pro Segregation (Social) -0.001 0.901 direct_effect
High income Pro Segregation (Social) -0.031 0.733 direct_effect
Mid income Pro Segregation (Social) -0.078 0.323 direct_effect
Three vehicles Pro Segregation (Social) 0.029 0.679 direct_effect
Bike Pro Segregation (Social) -0.128 0.046 direct_effect
Source variable Target variable Effect p-value Effect type
Age-restricted Likelihood of being in non-social group -0.111 0.858 direct_effect
Pro Walkability (Social with neighborhood choice) Likelihood of being in non-social group -0.238 0.423 direct_effect
Pro Segregation (Social with neighborhood choice) Likelihood of being in non-social group 0.194 0.49 direct_effect
Grid Likelihood of being in non-social group 0.399 0.448 direct_effect
Loop Likelihood of being in non-social group 0.089 0.844 direct_effect
Intersection density Likelihood of being in non-social group -1.175 0.269 direct_effect
Facilities Likelihood of being in non-social group -0.36 0.402 direct_effect
Destination 400 Likelihood of being in non-social group -0.217 0.63 direct_effect
MBTA bus stop Likelihood of being in non-social group -1.064 0.614 direct_effect
Commuter rail Likelihood of being in non-social group 1.11 0.066 direct_effect
Street length Likelihood of being in non-social group -0.013 0.417 direct_effect
Employ Likelihood of being in non-social group 0.56 0.12 direct_effect
Healthy Likelihood of being in non-social group 0.374 0.53 direct_effect
Male Likelihood of being in non-social group 0.749 0.076 direct_effect
Age Likelihood of being in non-social group 0.04 0.374 direct_effect
High income Likelihood of being in non-social group 0.384 0.574 direct_effect
Mid income Likelihood of being in non-social group 0.46 0.447 direct_effect
Three vehicles Likelihood of being in non-social group -0.404 0.551 direct_effect
Bike Likelihood of being in non-social group 0.049 0.875 direct_effect
Constant Likelihood of being in non-social group -3.776 0.283 direct_effect
Age-restricted Number of social trips among social group 0.471 0.052 direct_effect
Pro Walkability (Social with neighborhood choice) Number of social trips among social group -0.017 0.894 direct_effect
Pro Segregation (Social with neighborhood choice) Number of social trips among social group 0.156 0.156 direct_effect
Grid Number of social trips among social group 0.046 0.819 direct_effect
Loop Number of social trips among social group -0.18 0.328 direct_effect
Intersection density Number of social trips among social group -0.242 0.375 direct_effect
Facilities Number of social trips among social group -0.165 0.34 direct_effect
Destination 400 Number of social trips among social group 0.196 0.315 direct_effect
MBTA bus stop Number of social trips among social group -0.603 0.309 direct_effect
Commuter rail Number of social trips among social group 0.353 0.052 direct_effect
Street length Number of social trips among social group -0.009 0.134 direct_effect
Employ Number of social trips among social group -0.327 0.03 direct_effect
Healthy Number of social trips among social group -0.006 0.975 direct_effect
Male Number of social trips among social group 0.145 0.34 direct_effect
Age Number of social trips among social group 0.043 0.032 direct_effect
High income Number of social trips among social group -0.258 0.31 direct_effect
Mid income Number of social trips among social group -0.125 0.546 direct_effect
Three vehicles Number of social trips among social group -0.195 0.455 direct_effect
Bike Number of social trips among social group 0.262 0.046 direct_effect
Constant Number of social trips among social group -2.241 0.09 direct_effect
Alpha Number of social trips among social group 0.301 0.134 direct_effect
Employ Pro Walkability (Social with neighborhood choice) -0.01 0.881 direct_effect
Healthy Pro Walkability (Social with neighborhood choice) -0.024 0.772 direct_effect
Male Pro Walkability (Social with neighborhood choice) -0.225 0.0 direct_effect
Age Pro Walkability (Social with neighborhood choice) 0.003 0.708 direct_effect
High income Pro Walkability (Social with neighborhood choice) 0.044 0.629 direct_effect
Mid income Pro Walkability (Social with neighborhood choice) -0.093 0.239 direct_effect
Three vehicles Pro Walkability (Social with neighborhood choice) -0.3 0.0 direct_effect
Bike Pro Walkability (Social with neighborhood choice) -0.046 0.492 direct_effect
Employ Pro Segregation (Social with neighborhood choice) -0.168 0.01 direct_effect
Healthy Pro Segregation (Social with neighborhood choice) 0.124 0.126 direct_effect
Male Pro Segregation (Social with neighborhood choice) 0.126 0.01 direct_effect
Age Pro Segregation (Social with neighborhood choice) -0.001 0.901 direct_effect
High income Pro Segregation (Social with neighborhood choice) -0.031 0.736 direct_effect
Mid income Pro Segregation (Social with neighborhood choice) -0.078 0.323 direct_effect
Three vehicles Pro Segregation (Social with neighborhood choice) 0.029 0.679 direct_effect
Bike Pro Segregation (Social with neighborhood choice) -0.128 0.049 direct_effect
Pro Walkability (Social with neighborhood choice) Likelihood of choosing age-restricted neighborhood 0.138 0.443 direct_effect
Pro Segregation (Social with neighborhood choice) Likelihood of choosing age-restricted neighborhood 0.815 0.0 direct_effect
Loop Likelihood of choosing age-restricted neighborhood 5.982 0.0 direct_effect
Intersection density Likelihood of choosing age-restricted neighborhood 2.205 0.0 direct_effect
Facilities Likelihood of choosing age-restricted neighborhood 3.397 0.0 direct_effect
Destination 400 Likelihood of choosing age-restricted neighborhood -0.112 0.575 direct_effect
MBTA bus stop Likelihood of choosing age-restricted neighborhood -2.641 0.005 direct_effect
Commuter rail Likelihood of choosing age-restricted neighborhood 0.196 0.65 direct_effect
Street length Likelihood of choosing age-restricted neighborhood 0.106 0.0 direct_effect
Employ Likelihood of choosing age-restricted neighborhood -0.261 0.334 direct_effect
Healthy Likelihood of choosing age-restricted neighborhood 0.529 0.12 direct_effect
Male Likelihood of choosing age-restricted neighborhood -0.445 0.02 direct_effect
Age Likelihood of choosing age-restricted neighborhood 0.205 0.0 direct_effect
High income Likelihood of choosing age-restricted neighborhood 1.303 0.001 direct_effect
Mid income Likelihood of choosing age-restricted neighborhood 0.467 0.156 direct_effect
Three vehicles Likelihood of choosing age-restricted neighborhood -0.266 0.542 direct_effect
Bike Likelihood of choosing age-restricted neighborhood -0.321 0.229 direct_effect

The Attitudes and Travel Database is produced with support from the Center for Teaching Old Models New Tricks at Arizona State University, a University Transportation Center sponsored by the US Department of Transportation through Grant No. 69A3551747116.

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