| dc.description.abstract | The principal purpose of the study is to investigate the driving experience, parking properties and violation of law-enforcement of motorcycle drivers and to explore the gap between the supply and demand of parking spaces for motorcycles around Keelung Railroad Station in Taiwan. We use the CFA (confirmatory factor analysis) of SEM (structural equation models) to release the latent variables that influence the choice of parking behavior for motorcycle drivers. Followed by applying the disaggregate multi-logit models, we find the significant factors that influence the choice of parking behavior and lead to propose some improvement ways.
The result of applying CFA of SEM shows the supply and demand of parking spaces, the available parking information, and the public moral be the three major latent variables. The application of disaggregate choice model exhibits the duration of residence at current address, trip frequency to the railroad station per week, duration of parking, walking time to the railroad station after parking, tolerant walking distance after parking, supply and demand of parking spaces for motorcycles, parking information and public moral are significant to the choice of parking behavior for motorcycle drivers.
The findings of the study show that (1) the law enforcement on roadside parking spaces have been loose; that suggests the collection of parking fees may be worth implement, (2) the necessity of building new parking area may be carefully considered in response to the dramatic increase of parking demand, (3) encouraging the public to use public transportation systems to reduce parking demand with the emphasis of the traditional 3E policies, i.e. education, engineering and enforcement, may be effective to guide the motorcycle drivers to have the appropriate parking behavior. | en_US |