A dynamic analysis of motorcycle ownership and usage: A panel data modeling approach

Chieh Hua Wen*, Yu-Chiun Chiou, Wan Ling Huang

*Corresponding author for this work

Research output: Contribution to journalArticle

14 Scopus citations

Abstract

This study aims to develop motorcycle ownership and usage models with consideration of the state dependence and heterogeneity effects based on a large-scale questionnaire panel survey on vehicle owners. To account for the independence among alternatives and heterogeneity among individuals, the modeling structure of motorcycle ownership adopts disaggregate choice models considering the multinomial, nested, and mixed logit formulations. Three types of panel data regression models - ordinary, fixed, and random effects - are developed and compared for motorcycle usage. The estimation results show that motorcycle ownership in the previous year does exercise a significantly positive effect on the number of motorcycles owned by households in the current year, suggesting that the state dependence effect does exist in motorcycle ownership decisions. In addition, the fixed effects model is the preferred specification for modeling motorcycle usage, indicating strong evidence for existence of heterogeneity. Among various management strategies evaluated under different scenarios, increasing gas prices and parking fees will lead to larger reductions in total kilometers traveled.

Original languageEnglish
Pages (from-to)193-202
Number of pages10
JournalAccident Analysis and Prevention
Volume49
DOIs
StatePublished - 1 Nov 2012

Keywords

  • Accident
  • Discrete choice
  • Motorcycle
  • Panel data
  • Regression

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