Estimating bicycle parking demand with limited data availability

Abstract

One of the official goals of the Viennese transport policy is to double the share of cycling. Besides cycling paths and lanes, appropriate parking facilities are seen as a key to success. These are needed at primary (home) as well as secondary locations (work, shopping, leisure, etc.). In this work, citywide data about the location of public bicycle stands were analysed. The spatial distribution of future levels of cycling were estimated using three different methods, based on origin–destination matrices from a transport model and commuter data from the 2001 census with a uniform modal share and a modal share differentiated by five city areas. According to the results of this research, up to 56 000 additional public bicycle spaces are needed to accommodate the intended increase in cycling. The highest demand was identified in the central business district and districts 3 and 10, and the lowest demand was found in districts 8, 6 and 5.