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GI_Forum 2021, Volume 9, Issue 2
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Verlag der Österreichischen Akademie der Wissenschaften Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400 https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at |
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DATUM, UNTERSCHRIFT / DATE, SIGNATURE
BANK AUSTRIA CREDITANSTALT, WIEN (IBAN AT04 1100 0006 2280 0100, BIC BKAUATWW), DEUTSCHE BANK MÜNCHEN (IBAN DE16 7007 0024 0238 8270 00, BIC DEUTDEDBMUC)
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GI_Forum 2021, Volume 9, Issue 2, pp. 228-241, 2021/12/28
In urban policy development and transport planning, car parking has become a crucial topic, as an ill-designed system could lead to traffic congestion, safety problems, increased air pollution and other challenges, particularly in densely populated urban areas. Adjusting parking fees has been deemed the most effective tool to control parking behaviour for selected locations, in order to attract or repel drivers. However, in order to select target areas efficiently, and before any recommendation for fee adjustment is made, an analysis of the current parking situation and the identification of variables influencing parking behaviour are needed. We present a spatial analysis targeted at parking demand and supply data gathered via road surveys by local authorities in Taipei City. The spatial analysis is complemented by a regression analysis to identify variables that influence parking behaviour. Our approach examines the relationship between potential controlling and contributing factors, and we show the influence of variables in a specific example. Our aim is to provide a starting point for future policy development and pricing adjustment at a local level. This initial framework might provide a conceptual core for wider discussion and a tool for integrating other different scenarios in the future.
Keywords: car parking policy, urban sustainability, spatial analysis, Geographically Weighted Regression (GWR)