Estimation and validation of hybrid choice models to identify the role of perception in the choice to cycle

Sottile, Sanjust di Teulada, Meloni, Cherchi, 2019, in International Journal of Sustainable Transportation

doi:10.1080/15568318.2018.1490465
Location Cagliari, Italy
Population Other (specify)
Sample size 2752
Factor analysis type confirmatory factor analysis, none rotation
Stepwise regression no
Removal of insignificant variables yes
Reviewed by LCM

Abstract

Cycling is one of the most sustainable and ecofriendly modes of travel and a good form of exercise. Many government and public health authorities recommend cycling to stay fit as well as to reduce air and noise pollution, CO2 emissions, traffic congestion, and other negative consequences of car use. In light of these benefits, a major challenge for researchers today is how to promote cycling. However, in countries where cycling is not common, apart from the need for proper cycling facilities, one major issue concerns people’s perception of cycling for sport or recreational activities rather than as a mode of transport. The aim of this paper is to explore the role of perception in the likelihood of the bike being used for utilitarian purposes. We focus on the perception of: the bicycle as a means of transport; bikeability (in terms of usefulness and safety) and of bike infrastructure. Hybrid Choice Models (HCMs) have been used to estimate the effect of people’s perception on the propensity to bike. The HCM also accounts for the serial correlation between error terms in the discrete and latent perceptions, to allow for agent-common unknown factors. Furthermore, we also validate the model results using a hold-out sample and discuss some policy measures aimed at changing travel behavior. The results suggest that, besides individual characteristics, latent aspects related to the perception of the context and of the bicycle as a means of transport strongly affect the propensity to cycle. © 2018, © 2018 Taylor & Francis Group, LLC.

Factors

Models

Dependent variable Decision to cycle
Model type Hybrid choice model
Sample size 2202.0
R2 0.441
Adjusted R2
Pseudo R2 (nan) nan
AIC nan
BIC nan
Log-likelihood at zero -21282.88
Log-likelihood at constants nan
Log-likelihood at convergence -11891.36
Perception of bicycle as a means of transport
Variable Coefficient p-value
Level of education (from 1 to 5) 1.03 0.0
# of bikes in household 0.965 0.0
Standard deviation 0.646 0.0
delta1 1.27 0.0
delta2 1.44 0.0
lambdaPerc_6 0.776 0.0
delta1Perc_6 0.753 0.0
delta2Perc_6 1.05 0.0
lambdaPerc_7 1.4 0.0
delta1Perc_7 0.594 0.0
delta2Perc_7 1.75 0.0
lambdaPerc_9 1.02 0.0
delta1Perc_9 1.05 0.0
delta2Perc_9 1.51 0.0
lambdaPerc_11 1.36 0.0
delta1Perc_11 0.611 0.0
delta2Perc_11 0.642 0.0
Perception of context characteristics
Variable Coefficient p-value
Level of education (from 1 to 5) 0.48 0.0
Children in household (0 is base) -0.165 0.103
Available car 0.573 0.0
# of bikes in household 0.567 0.0
Income per month 0-1000 € 1.01 0.0
Income per month 1000-2000 € 0.591 0.0
Standard deviation -9.48 0.0
Actual biker, formerly car as driver (past behavior) 0.417 0.18
Serial correlation (error component) 1.91 0.0
lambdaContext_2 2.29 0.0
delta1Context_2 2.05 0.0
delta2Context_2 2.42 0.0
lambdaContext_3 0.858 0.0
delta1Context_3 0.996 0.0
delta2Context_3 1.4 0.0
Variable Coefficient p-value
Constant -2.48 0.0
Age -0.014 0.026
Male (female is base) 0.893 0.0
Children in household (0 is base) -0.713 0.0
# of bikes in household 1.58 0.0
Non-subscriber (not informed is base) 0.528 0.0
Subscriber (not informed is base) 2.94 0.0
Perception of bicycle as a means of transport 1.09 0.0
Perception of context characteristics in propensity to cycle 1.34 0.0
Perception of bicycle as a means of transport*# of memebrs in household -0.064 0.0
Perception of context characteristics in propensity to cycle*# of cars in household -0.058 0.018
Dependent variable Decision to cycle
Model type Hybrid choice model
Sample size 2202.0
R2 0.485
Adjusted R2
Pseudo R2 (nan) nan
AIC nan
BIC nan
Log-likelihood at zero -23496.83
Log-likelihood at constants nan
Log-likelihood at convergence -12090.43
Perception of bicycle as a means of transport
Variable Coefficient p-value
Level of education (from 1 to 5) 0.868 0.0
# of bikes in household 0.778 0.0
Standard deviation 0.684 0.0
delta1 1.08 0.0
delta2 1.27 0.0
lambdaPerc_6 0.836 0.0
delta1Perc_6 0.682 0.0
delta2Perc_6 0.962 0.0
lambdaPerc_7 1.39 0.0
delta1Perc_7 0.48 0.0
delta2Perc_7 1.49 0.0
lambdaPerc_9 1.14 0.0
delta1Perc_9 1.03 0.0
delta2Perc_9 1.44 0.0
lambdaPerc_11 1.45 0.0
delta1Perc_11 0.571 0.0
delta2Perc_11 0.599 0.0
Perception of context characteristics
Variable Coefficient p-value
Level of education (from 1 to 5) 0.519 0.0
Children in household (0 is base) -0.213 0.023
Available car 0.193 0.121
# of bikes in household 0.595 0.0
Income per month 0-1000 € 0.781 0.0
Income per month 1000-2000 € 0.328 0.001
Standard deviation 0.509 0.0
Actual biker, formerly car as driver (past behavior) 0.566 0.035
lambdaContext_2 1.53 0.0
delta1Context_2 1.12 0.0
delta2Context_2 1.42 0.0
lambdaContext_3 0.926 0.0
delta1Context_3 0.982 0.0
delta2Context_3 1.35 0.0
Variable Coefficient p-value
Constant -2.38 0.0
Age -0.014 0.02
Male (female is base) 0.866 0.0
Children in household (0 is base) -0.675 0.0
# of bikes in household 1.56 0.0
Non-subscriber (not informed is base) 0.516 0.0
Subscriber (not informed is base) 2.83 0.0
Perception of bicycle as a means of transport 0.98 0.0
Perception of context characteristics in propensity to cycle 1.53 0.0
Perception of bicycle as a means of transport*# of memebrs in household -0.074 0.0
Perception of context characteristics in propensity to cycle*# of cars in household -0.068 0.015
Dependent variable Decision to cycle
Model type Hybrid choice model
Sample size 550.0
R2 0.488
Adjusted R2
Pseudo R2 (nan) nan
AIC nan
BIC nan
Log-likelihood at zero -5865.876
Log-likelihood at constants nan
Log-likelihood at convergence -3001.59
Perception of bicycle as a means of transport
Variable Coefficient p-value
Level of education (from 1 to 5) 1.02 0.0
# of bikes in household 0.6 0.0
Standard deviation 0.709 0.0
delta1 1.03 0.0
delta2 1.42 0.0
lambdaPerc_6 0.829 0.0
delta1Perc_6 0.624 0.0
delta2Perc_6 1.03 0.0
lambdaPerc_7 1.3 0.0
delta1Perc_7 0.5563 0.01
delta2Perc_7 1.35 0.0
lambdaPerc_9 0.956 0.0
delta1Perc_9 0.95 0.0
delta2Perc_9 1.15 0.0
lambdaPerc_11 1.3 0.0
delta1Perc_11 0.655 0.004
delta2Perc_11 1.24 0.0
Perception of context characteristics
Variable Coefficient p-value
Level of education (from 1 to 5) 0.509 0.0
Children in household (0 is base) -0.075 0.689
Available car 0.489 0.061
# of bikes in household 0.49 0.0
Income per month 0-1000 € 1.3 0.002
Income per month 1000-2000 € 0.443 0.022
Standard deviation 0.554 0.0
Actual biker, formerly car as driver (past behavior) 1.55 0.024
lambdaContext_2 1.53 0.0
delta1Context_2 1.14 0.0
delta2Context_2 1.65 0.0
lambdaContext_3 0.898 0.0
delta1Context_3 0.892 0.0
delta2Context_3 1.5 0.0
Variable Coefficient p-value
Constant -1.88 0.012
Age -0.024 0.066
Male (female is base) 0.803 0.0
Children in household (0 is base) -0.982 0.0
# of bikes in household 1.32 0.0
Non-subscriber (not informed is base) 0.456 0.04
Subscriber (not informed is base) 1.53 0.023
Perception of bicycle as a means of transport 1.25 0.0
Perception of context characteristics in propensity to cycle 0.946 0.0

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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