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A dynamic analysis of motorcycle ownership and usage: a panel data modeling approach
Chieh-Hua Wen1, Yu-Chiun Chiou, Wan-Ling Huang
1Department of Transportation Technology and Management, Feng Chia University, 100 Wenhua Road, Taichung 40724, Taiwan, ROC. chwen@fcu.edu.tw
Accident; Analysis and Prevention
|October 6, 2012
Summary
Motorcycle ownership is influenced by past ownership, showing a state dependence effect. The fixed effects model best captures usage patterns, revealing significant individual heterogeneity. Policy changes like higher gas prices reduce travel distance.
Area of Science:
- Transportation Science
- Econometrics
- Behavioral Economics
Background:
- Understanding factors influencing vehicle ownership and usage is crucial for urban planning and policy development.
- Previous models often overlook state dependence and individual heterogeneity in vehicle ownership decisions.
- Panel data offers a robust framework for analyzing dynamic choices and unobserved individual characteristics.
Purpose of the Study:
- To develop and compare models for motorcycle ownership and usage, incorporating state dependence and heterogeneity.
- To investigate the influence of past ownership on current motorcycle acquisition decisions.
- To identify the most suitable econometric model for analyzing motorcycle usage patterns.
Main Methods:
- Utilized a large-scale questionnaire panel survey of vehicle owners.
- Applied disaggregate choice models (multinomial, nested, mixed logit) for motorcycle ownership.
- Employed panel data regression models (ordinary, fixed, random effects) for motorcycle usage.
Main Results:
- Significant positive effect of previous year's motorcycle ownership on current ownership, confirming state dependence.
- The fixed effects model demonstrated superior performance for motorcycle usage, highlighting significant individual heterogeneity.
- Increased gas prices and parking fees were found to significantly reduce total kilometers traveled.
Conclusions:
- Motorcycle ownership decisions exhibit state dependence, with past ownership influencing future choices.
- Individual heterogeneity is a critical factor in motorcycle usage, best captured by fixed effects models.
- Policy interventions targeting fuel and parking costs can effectively reduce motorcycle travel distances.
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