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題名 Adaptation of Parking Behavior to Price-Policy Adjustments in Taipei City
作者 范噶色
Gasselt, S. van
Tsai, M. C.
Lin, T. C.
貢獻者 地政系
關鍵詞 On-Road Parking ; Urban Development ; Policy Impact ; Spatial Analysis ; Geographically Weighted Regression
日期 2020-07
上傳時間 1-Jun-2021 15:29:38 (UTC+8)
摘要 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.
關聯 International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS
資料類型 conference
DOI https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-205-2020
dc.contributor 地政系
dc.creator (作者) 范噶色
dc.creator (作者) Gasselt, S. van
dc.creator (作者) Tsai, M. C.
dc.creator (作者) Lin, T. C.
dc.date (日期) 2020-07
dc.date.accessioned 1-Jun-2021 15:29:38 (UTC+8)-
dc.date.available 1-Jun-2021 15:29:38 (UTC+8)-
dc.date.issued (上傳時間) 1-Jun-2021 15:29:38 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/135359-
dc.description.abstract (摘要) 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.
dc.format.extent 1754030 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS
dc.subject (關鍵詞) On-Road Parking ; Urban Development ; Policy Impact ; Spatial Analysis ; Geographically Weighted Regression
dc.title (題名) Adaptation of Parking Behavior to Price-Policy Adjustments in Taipei City
dc.type (資料類型) conference
dc.identifier.doi (DOI) 10.5194/isprs-archives-XLIII-B4-2020-205-2020
dc.doi.uri (DOI) https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-205-2020