Taste heterogeneity as an alternative form of endogeneity bias: Investigating the attitude-moderated effects of built environment and socio-demographics on vehicle ownership using latent class modeling
Kim, Mokhtarian, 2018, in Transportation Research Part A: Policy and Practice
doi:10.1016/j.tra.2018.05.020
Location |
Northern California, USA |
Population |
General |
Sample size |
2385 |
Factor analysis type |
exploratory factor analysis, Oblique rotation |
Stepwise regression |
no |
Removal of insignificant variables |
no |
Reviewed by |
LCM |
Abstract
Vehicle ownership (VO) is of vital interest to transportation planning and policy, both in its own right and as a correlate of other travel-related behaviors. This study explores disaggregate relationships among socio-economic/demographic (SED) traits, the built environment (BE), and VO. Many previous studies have assumed that the importance of SED and BE variables to VO is homogeneous across the population, and have focused on the direct and mediated effects of those variables on VO. Here, we aim to account for heterogeneity in the effects of BE and SED, allowing those effects on VO to be moderated as a function of attitudes. Specifically, we use Latent Class Modeling (LCM), which probabilistically segments the sample so as to be homogeneous within and heterogeneous across segments, with respect to the choice process. Applied to a sample of 2385 commuters in Northern California, LCM outperforms an ordinary multinomial logit model and a deterministic segmentation model. The LCM identifies two classes: an “auto-oriented” segment, for which household size and income have stronger influences on vehicle ownership (compared to the other segment); and an “urbanite” segment, for which the BE generally has a stronger influence. This study contributes to better understanding the heterogeneity of an important travel-related choice process, and offers an alternative explanation to residential self-selection for an attitude-related endogeneity bias. © 2018 Elsevier Ltd
Factors
Models
Dependent variable |
Vehicle ownership |
Model type |
MNL |
Sample size |
2385.0 |
R2 |
0.227 |
Adjusted R2 |
|
Pseudo R2
(nan)
|
nan |
AIC |
nan |
BIC |
nan |
Log-likelihood at zero |
-3306.312 |
Log-likelihood at constants |
-3079.258 |
Log-likelihood at convergence |
-2555.086 |
1 car |
Variable |
Coefficient |
p-value |
Intercept |
1.054
|
0.0 |
Household income category |
0.389
|
0.0 |
Number of full-time workers |
0.256
|
0.089 |
Population density (people/acre) |
-0.014
|
0.0 |
Jobs-housing balance |
-0.01
|
0.418 |
Proportion of block-group employment within 1/2 mile of transit stop |
-1.144
|
0.0 |
2 cars |
Variable |
Coefficient |
p-value |
Intercept |
-0.423
|
0.108 |
Household income category |
0.749
|
0.0 |
Number of full-time workers |
0.991
|
0.0 |
Population density (people/acre) |
-0.04
|
0.0 |
Jobs-housing balance |
-0.025
|
0.064 |
Proportion of block-group employment within 1/2 mile of transit stop |
-1.816
|
0.0 |
3+ cars |
Variable |
Coefficient |
p-value |
Intercept |
-1.292
|
0.0 |
Household income category |
0.829
|
0.0 |
Number of full-time workers |
1.28
|
0.0 |
Population density (people/acre) |
-0.054
|
0.0 |
Jobs-housing balance |
-0.073
|
0.0 |
Proportion of block-group employment within 1/2 mile of transit stop |
-2.24
|
0.0 |
Dependent variable |
Vehicle ownership |
Model type |
Deterministically segmented choice model |
Sample size |
1262.0 |
R2 |
0.274 |
Adjusted R2 |
|
Pseudo R2
(nan)
|
nan |
AIC |
nan |
BIC |
nan |
Log-likelihood at zero |
-1749.503 |
Log-likelihood at constants |
-1447.815 |
Log-likelihood at convergence |
-1270.179 |
1 car |
Variable |
Coefficient |
p-value |
Intercept |
1.414
|
0.006 |
Household income category |
0.511
|
0.011 |
Number of full-time workers |
0.159
|
0.646 |
Population density (people/acre) |
-0.001
|
0.96 |
Jobs-housing balance |
-0.027
|
0.134 |
Proportion of block-group employment within 1/2 mile of transit stop |
-1.594
|
0.003 |
2 cars |
Variable |
Coefficient |
p-value |
Intercept |
-0.101
|
0.849 |
Household income category |
0.892
|
0.0 |
Number of full-time workers |
1.041
|
0.003 |
Population density (people/acre) |
-0.024
|
0.088 |
Jobs-housing balance |
-0.037
|
0.029 |
Proportion of block-group employment within 1/2 mile of transit stop |
-1.967
|
0.0 |
3+ cars |
Variable |
Coefficient |
p-value |
Intercept |
-1.075
|
0.051 |
Household income category |
1.014
|
0.0 |
Number of full-time workers |
1.372
|
0.0 |
Population density (people/acre) |
-0.034
|
0.022 |
Jobs-housing balance |
-0.071
|
0.003 |
Proportion of block-group employment within 1/2 mile of transit stop |
-2.37
|
0.0 |
Dependent variable |
Vehicle ownership |
Model type |
Deterministically segmented choice model |
Sample size |
1123.0 |
R2 |
0.214 |
Adjusted R2 |
|
Pseudo R2
(nan)
|
nan |
AIC |
nan |
BIC |
nan |
Log-likelihood at zero |
-1556.809 |
Log-likelihood at constants |
-1412.945 |
Log-likelihood at convergence |
-1224.058 |
1 car |
Variable |
Coefficient |
p-value |
Intercept |
0.647
|
0.024 |
Household income category |
0.395
|
0.0 |
Number of full-time workers |
0.28
|
0.114 |
Population density (people/acre) |
-0.015
|
0.001 |
Jobs-housing balance |
0.004
|
0.834 |
Proportion of block-group employment within 1/2 mile of transit stop |
-0.895
|
0.003 |
2 cars |
Variable |
Coefficient |
p-value |
Intercept |
-1.002
|
0.003 |
Household income category |
0.778
|
0.0 |
Number of full-time workers |
0.897
|
0.0 |
Population density (people/acre) |
-0.043
|
0.0 |
Jobs-housing balance |
-0.018
|
0.368 |
Proportion of block-group employment within 1/2 mile of transit stop |
-1.541
|
0.0 |
3+ cars |
Variable |
Coefficient |
p-value |
Intercept |
-1.771
|
0.0 |
Household income category |
0.81
|
0.0 |
Number of full-time workers |
1.05
|
0.0 |
Population density (people/acre) |
-0.057
|
0.0 |
Jobs-housing balance |
-0.111
|
0.012 |
Proportion of block-group employment within 1/2 mile of transit stop |
-1.763
|
0.0 |
Dependent variable |
Vehicle ownership |
Model type |
Latent class model |
Sample size |
2385.0 |
R2 |
0.26 |
Adjusted R2 |
|
Pseudo R2
(nan)
|
nan |
AIC |
nan |
BIC |
nan |
Log-likelihood at zero |
-3306.312 |
Log-likelihood at constants |
-3079.258 |
Log-likelihood at convergence |
-2448.123 |
1 car |
Variable |
Coefficient |
p-value |
Intercept |
-0.398
|
0.749 |
Household income category |
1.83
|
0.032 |
Number of full-time workers |
0.957
|
0.276 |
Population density (people/acre) |
0.004
|
0.841 |
Jobs-housing balance |
-0.037
|
0.294 |
Proportion of block-group employment within 1/2 mile of transit stop |
-1.82
|
0.058 |
Intercept |
0.483
|
0.204 |
Household income category |
0.446
|
0.0 |
Number of full-time workers |
0.398
|
0.027 |
Population density (people/acre) |
-0.04
|
0.0 |
Jobs-housing balance |
-0.033
|
0.153 |
Proportion of block-group employment within 1/2 mile of transit stop |
-0.51
|
0.168 |
2 cars |
Variable |
Coefficient |
p-value |
Intercept |
-2.18
|
0.089 |
Household income category |
2.219
|
0.01 |
Number of full-time workers |
2.282
|
0.011 |
Population density (people/acre) |
-0.026
|
0.197 |
Jobs-housing balance |
-0.05
|
0.15 |
Proportion of block-group employment within 1/2 mile of transit stop |
-1.946
|
0.049 |
Intercept |
-1.541
|
0.015 |
Household income category |
0.94
|
0.0 |
Number of full-time workers |
0.752
|
0.0 |
Population density (people/acre) |
-0.069
|
0.0 |
Jobs-housing balance |
-0.09
|
0.095 |
Proportion of block-group employment within 1/2 mile of transit stop |
-1.492
|
0.002 |
3+ cars |
Variable |
Coefficient |
p-value |
Intercept |
-3.397
|
0.011 |
Household income category |
2.359
|
0.006 |
Number of full-time workers |
2.726
|
0.003 |
Population density (people/acre) |
-0.033
|
0.101 |
Jobs-housing balance |
-0.088
|
0.021 |
Proportion of block-group employment within 1/2 mile of transit stop |
-2.283
|
0.024 |
Intercept |
-1.18
|
0.347 |
Household income category |
0.92
|
0.002 |
Number of full-time workers |
0.58
|
0.105 |
Population density (people/acre) |
-0.161
|
0.003 |
Jobs-housing balance |
-0.484
|
0.027 |
Proportion of block-group employment within 1/2 mile of transit stop |
-2.384
|
0.204 |
Variable |
Coefficient |
p-value |
Intercept |
-0.916
|
0.002 |
Pro-transit |
0.766
|
0.0 |
Pro-active modes |
0.531
|
0.005 |
Pro-(high) density |
0.889
|
0.0 |