ADAPTATION OF PARKING BEHAVIOUR TO PRICE-POLICY ADJUSTMENTS IN TAIPEI CITY: PATTERNS AND SPATIAL ANALYSIS
Parking issues are an extraordinarily important topic in highly populated urban areas. To balance parking demand, the Taipei city government implemented a price adjustment during policy establishment. In the planning process, the Traffic Analysis Zone (TAZ) is a common analysis unit used for parking and transportation-infrastructure planning, which is also the unit referred to in this contribution. Due to the local variation of spatial and social characteristics in various urban areas, drivers seem to behave more differently on a local level, than it could be represented by a relatively generic policy that is aimed for a regional context. A unified city-wide parking policy could not respond to this individual behaviour in an efficient and effective way. In this study, a dataset published by city covering detailing numbers on the demand, supply, and the illegal parking situation in each traffic zone is applied. By the implementation of Geographically Weighted Regression, the sensitivity of the parking fee setup, and also the influence of other variables on parking occupancies, which makes up for the shortcomings of the global model by allowing relationship to vary over spaces, can be captured. The eventual result verified that although parking price is an influential factor to occupancy, other factors such as the total supply of on-road parking spaces and the substitute parking spaces can affect parking behaviour as well. In general, if parking facilities can be provided without restriction, an average increase of 7 to 10 roadside parking spaces in a traffic area will attract 10 additional drivers to park their cars inside. This approach is considered beneficial for a policy review in order to identify the impact of policy adjustments in spatially heterogeneous settings. Based on the result proposed in this research, a recommendations of policy adjustment could also be put forward.