The effects of activity-travel context and individual attitudes on car-sharing decisions under travel time uncertainty: A hybrid choice modeling approach
Kim, Rasouli, and Timmermans, 2017, in Transportation Research Part D
doi:10.1016/j.trd.2017.07.022
| Location |
Netherlands |
| Population |
Other (specify) |
| Sample size |
791 |
| Factor analysis type |
confirmatory factor analysis, nan rotation |
| Stepwise regression |
no |
| Removal of insignificant variables |
no |
| Reviewed by |
MWC |
Abstract
People's daily decision to use car-sharing rather than other transport modes for conducting a specific activity has been investigated recently in assessing the market potential of car-sharing systems. Most studies have estimated transport mode choice models with an extended choice set using attributes such as average travel time and costs. However, car-sharing systems have some distinctive features: users have to reserve a car in advance and pay time-based costs for using the car. Therefore, the effects of activity-travel context and travel time uncertainty require further consideration in models that predict car-sharing demand. Moreover, the relationships between individual latent attitudes and the intention to use car-sharing have not yet been investigated in much detail. In contributing to the research on car-sharing, the present study is designed to examine the effects of activity-travel context and individual latent attitudes on short-term car-sharing decisions under travel time uncertainty. The effects of all these factors were simultaneously estimated using a hybrid choice modeling framework. The data used in this study was collected in the Netherlands, 2015 using a stated choice experiment. Hypothetical choice situations were designed to collect respondents’ intention to use a shared-car for their travel to work. A total of 791 respondents completed the experiment. The estimation results suggest that time constraints, lack of spontaneity and a larger variation in travel times have significant negative effects on people's intention to use a shared-car. Furthermore, this intention is significantly associated with latent attitudes about pro-environmental preferences, the symbolic value of cars, and privacy-seeking. © 2017 Elsevier Ltd
Factors
Models
| Dependent variable |
Mode choice (Owned car, shared car, PT) |
| Model type |
integrated choice and latent variable |
| Sample size |
791.0 |
| R2 |
nan |
| Adjusted R2 |
|
|
Pseudo R2
(nan)
|
nan |
| AIC |
nan |
| BIC |
nan |
| Log-likelihood at zero |
-10428.03 |
| Log-likelihood at constants |
nan |
| Log-likelihood at convergence |
-5364.32 |
| All |
Variable |
Coefficient |
p-value |
| Waiting time for a mode to become available |
-0.032
|
0.0 |
| Access time (minutes) |
-0.048
|
0.0 |
| Mean travel time (minutes) |
-0.032
|
0.0 |
| Standard deviation of travel time (minutes) |
-0.047
|
0.0 |
| Owned car |
Variable |
Coefficient |
p-value |
| Time pressure (1: must arrive in 60 min, -1: no time pressure) |
-0.082
|
0.021 |
| Activity duration unplanned (hours of variation in activity duration, e.g. 8 +/- 1.5) |
-0.137
|
0.025 |
| Fuel cost (euros/km) |
0.909
|
0.125 |
| intrinsic preference for driving |
0.369
|
0.0 |
| pro-environmental attitudes |
-0.398
|
0.0 |
| symbolic value of car |
0.059
|
0.134 |
| privacy-seeking |
1.641
|
0.0 |
| ASC |
3.003
|
0.0 |
| Standard deviation of random panel effect |
2.867
|
0.0 |
| Owned car/Shared car |
Variable |
Coefficient |
p-value |
| Parking cost (euros) |
-0.074
|
0.0 |
| Public transport |
Variable |
Coefficient |
p-value |
| Fare (euros/km) |
-1.758
|
0.004 |
| Shared car |
Variable |
Coefficient |
p-value |
| Time pressure (1: must arrive in 60 min, -1: no time pressure) |
-0.246
|
0.0 |
| Activity duration unplanned (hours of variation in activity duration, e.g. 8 +/- 1.5) |
0.059
|
0.506 |
| Fuel cost (euros/km) |
-1.443
|
0.078 |
| Distance-based cost (euros/km) |
-0.104
|
0.895 |
| Time based cost (euros/hour) |
-0.147
|
0.0 |
| intrinsic preference for driving |
0.017
|
0.754 |
| pro-environmental attitudes |
-0.194
|
0.056 |
| symbolic value of car |
-0.141
|
0.008 |
| privacy-seeking |
1.756
|
0.0 |
| ASC |
-0.393
|
0.299 |
| Standard deviation of random panel effect |
2.431
|
0.0 |
| intrinsic preferences for driving |
Variable |
Coefficient |
p-value |
| gender (1: female, -1: male) |
-0.501
|
0.0 |
| age (years) |
0.003
|
0.578 |
| education (1: high, -1: low) |
-0.019
|
0.837 |
| income (euros/month) |
0.008
|
0.899 |
| standard deviation |
2.104
|
0.0 |
| privacy-seeking |
Variable |
Coefficient |
p-value |
| gender (1: female, -1: male) |
-0.085
|
0.008 |
| age (years) |
-0.005
|
0.031 |
| education (1: high, -1: low) |
-0.051
|
0.204 |
| income (euros/month) |
-0.027
|
0.26 |
| standard deviation |
0.618
|
0.0 |
| pro-environmental attitudes |
Variable |
Coefficient |
p-value |
| gender (1: female, -1: male) |
0.089
|
0.063 |
| age (years) |
0.004
|
0.206 |
| education (1: high, -1: low) |
0.088
|
0.108 |
| income (euros/month) |
0.019
|
0.6 |
| standard deviation |
1.156
|
0.0 |
| symbolic value of car |
Variable |
Coefficient |
p-value |
| gender (1: female, -1: male) |
-0.048
|
0.46 |
| age (years) |
-0.016
|
0.0 |
| education (1: high, -1: low) |
-0.041
|
0.593 |
| income (euros/month) |
0.117
|
0.018 |
| standard deviation |
1.88
|
0.0 |