Personenmobilität, MdZ 6. Call (2015)

FamoS

Fahrradverkehrsmodelle als Planungsinstrument zur Reorganisation des Straßenraums

To strengthen active forms of mobility, it is necessary to adapt the road network in a way which allows optimal usage in spatial as well as temporal respect. For Planning and (re)organization of public area, suitable data and innovative planning tools must exist for these user-groups. Widespread analyzing, planning and simulation tools already exist for motorized forms of mobility, but to introduce evidence-based measures and politics for active forms of mobility still considerable information- and planning barriers exist. Methods or tools to activate the potential of relocation of active mobility, which have different purposes and are practicable and also cheap, have significant deficits, for example due to bad data basis.

Indeed, household and mobility surveys state how much bicycles do exist and how high the average share of bicycle traffic is, concerning the overall traffic volume. Anyhow reliable data of the spatial distribution of bicycle traffic and also the driven distances are still missing. This circumstance is forasmuch remarkable, because in the past years in nearly all cities of Austria and Europe, bicycle traffic and its funding boomed. Comparable high sums are invested in the extension of the bicycle infrastructure (bike paths, parking facilities, distribution systems...) and accompanying information services (routing portals, cycling advice, campaigns…), without having reliable bicycle traffic amount specifications at singular subsections. Because of this neither a consistent evaluation of the initial state, nor an estimation of the efficiency of the measurement are possible.

Therefore the present project“FamoS” should initially develop a bicycle traffic demand model for the example cities Graz and Salzburg, enabling route-fine evaluation of the bicycle traffic demand integrating expedient data. The aim is to develop a multimodal demand model for analysis and prognosis of bicycle traffic demand as a planning and simulation tool. As data bases existing data sources (e.g., GIP, smartphone based data, mobility data, count data) are supplemented by generated additional data. For the necessary surveys innovative, smartphone-based survey methods are used.
The focus lies on the design of bicycle infrastructure and their interaction to the traffic behavior and usage. With the developed tool, the planning measures of different means of transport are evaluated and bicycle traffic can be purposeful funded. The tool therefore should be transferable to other cities same or similar size.

back