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Flow Multimodal Analysis Methodology

Flow Multimodal Analysis Methodology

Most cities want to reduce congestion and its negative impacts. Many also wish to implement walking and cycling measures. It is helpful to understand the impacts such measures may have on congestion but currently there is a poor link between walking and cycling and congestion-reduction. FLOW is expanding the prevailing understanding of congestion, which focuses on motor vehicle traffic, to a perspective where all traffic participants (including those using non-motorised modes) are equally considered as a potential source and remedy of congestion. 

The FLOW multimodal analysis methodology evaluates the impact of walking and cycling on the performance of urban transport networks (i.e. what effect do these measures have on congestion?). The methodology consists of a multimodal definition of congestion, which is operationalised using three key performance indicators. These indicators can be used for junction, segment or network-level analysis, and can be calculated for each transport mode separately. The application of the indicators follows the principle "moving people, not vehicles". In a further step, the indicators are aggregated to create a single index for multimodal transport network performance.

The FLOW methodology is illustrated through a series of theoretical examples evaluating the implementation of selected walking and cycling measures. Furthermore, it was tested in the FLOW cities. 

The Multimodal Transport Analysis Calculation spreadsheet is available here for you to try it in your own local context. For step-by-step instructions on using the calculation spreadsheet, go to chapter 4.1 of Walking and Cycling: A Multimodal Approach to Congestion Management. It is also available in Bulgarian, Gaelic, German, Hungarian, Polish and Portuguese.