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This presentation discusses the importance of including cycling and walking measures in transport modelling to address congestion. It highlights the co-benefits of active modes and challenges in proving their efficacy. The FLOW project aims to develop walking and cycling measures to reduce congestion and stimulate active transportation.
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Cycling and Walking Measures – Causes of Congestion or Solutions to It? ECOMM Athens, Greece 3 June 2016 • Bonnie Fenton, Rupprecht Consult
Audience survey • How many of your cities do transport modelling? • How many model walking and cycling seriously?
The FLOW story • Two worlds that belong together Transport modelling is taken seriously to predict and provide for future transport needs, yet walking and cycling components are usually missing… • Cycling and walking are playing a larger role in people's transport mode choices in cities across Europe, yet they're not always taken seriously…
The FLOW definition of congestion: • Congestion is a state of traffic flow affecting all modes on an integrated transport network (e.g. carriageway/cycle facilities, footpaths) characterised by high densities and overused transport and urban infrastructure compared to an acceptable state across all modes against previously agreed targets and thereby leads to (perceived or actual) delay.
Lack ofdata Cultural biastowardmotorisedtransport Modelling human behaviour isn’t easy Lack of political understanding and support “Proving” that congestion reduction is caused by walking or cycling measures Definingpedestriancongestion Challenges
Expected results and impacts • Results: • Portfolio of walking and cycling measures relevant for congestion reduction • Extended versions of existing transport modelling software that fully integrate walking and cycling and evaluate the congestion reduction impact of walking and cycling measures • Impact: • Stimulate and promote cycling and walking as high-potential measures for addressing congestion
Space Walking and Cycling: source or remedy of congestion? • Accommodation of 200 people • Sources for clipart: cliparts.co; clipartsheep.com 1 2-4 5 Speed 5 1 2-3 4 Time/capacity at signal 3 1-2 4 5
Active modes in macroscopic models • Bike assignment: Path-level attributes in stochastic assignment (e.g. slope or attractiveness attributes) • Park & Ride modelling: Actually a modelling platform for combination of two path legs - can also be used e.g. for Walk & Ride • Bike sharing: enhanced mobility sharing in PT assignment
Operation and extension of the MOL Bubi system Launched in September 2014: • Budapest downtown area 15 km2 • 76 docking stations (1500 stands) • 1100 bicycles • 1 000 000 trips since opening (2 rents/bike/day, 2200 rents/day) Application of FLOW Assessment tools: • Macroscopic Analysis • Include bike sharing in assignment model • Congestion impact • Impact on traffic flow
Active modes in microscopic modelling • VISSIM – Urban Mobility Package • Enhanced modelling of conflict zones between cars & pedestrians • Behavioural parameters for cyclists: ½ car? • Interaction of bikes and pedestrians • Shared Space
Removing pedestrian overpass - Lisbon • Pedestrian overpass hardly used • Fear of congestion Application of FLOW Assessment tools: • Microscopic analysis of level crossing • Congestion impact
Thank you for your attention. www.h2020-flow.eu Bonnie Fentonb.fenton@rupprecht-consult.eu+49 (0)221 60 60 55 27