The future of mobility management starts with good data Friso Metz ECOMM 2014 Firenze
Need for a new mobility vision 2 Source: city of Gävle
Seoul, Cheonggyecheon river zone (1) Source: preservation institute
Seoul, Cheonggyecheon river zone (2) 4 Source: preservation institute
Renaissance: new ideas but old systems Westerschelde - tunnel instead of ferry - € 750 mln. - goal: - shorter travel times - economic growth jobs - results: - 14 minutes time gain - hardly economic growth - population decline - 5
Mobility culture is changing Now we need to change the system. Therefore we need data. 6
Innovation = combining existing things in a smart way 7
NL: national data on sustainable mobility Data on many topics… … from many sources 8
NL: Sustainability score (1/4) 23 indicators all municipalities objective data 9 sustainable targets sustainable measures modal split
NL: Sustainability score (2/4) 10 Sustainability targets Total score Accessibility Noise Road safety Climate Air quality
NL: Sustainability score (3/4) 11 Modal split (trips) Total score PT Walking Cycling Car
NL: Sustainability score (4/4) 12 Sustainable measures P+R & carpool Charging poles Shared cars Green gas fuel stations Clean cars Clean buses Total score
Sustainable mobility city #1: Groningen 1 Groningen 2 Leiden 3 Harlingen 4 Almere 5 Nijmegen 6 Amsterdam 7 Amersfoort 8 Zwolle 9 Haarlem 10 Alkmaar 13
Comparison of transport modes 16 indicators e.g. emission data 14
Performance of transport modes 1 winning factorSPEED 3 winning factorsSAFETY REQUIRED SPACE 12 winning factorsCOSTS EMOTIONS HEALTH NOISE EMISSIONS 15
These data prove what we already were thinking Sutainable mobility is better & cheaper for It benefits: 16
Traditional and future planning Traditional mobility planning 17 Mobility 2.0 (SUMP) Relation between costs and emissions
KpVV delivers tools Sumo effect calculator Measures behaviour change Calculates 18 Cost benefit tool light Compares mobility measures Result: cheap, effective and sustainable measures
Benchmark sustainable mobility 19 Top 10 carsharing cities
Conclusion Find your data Combine them in smart tools Use them Change the system! 20