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Cities facing data collection and modeling in Urban Freight Transport SMILE partner meeting Bologna 05/11/2013 Partner’s logo Presented by: Martin Brandt

Cities facing data collection and modeling in Urban Freight Transport SMILE partner meeting Bologna 05/11/2013 Partner’s logo Presented by: Martin Brandt

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Page 1: Cities facing data collection and modeling in Urban Freight Transport SMILE partner meeting Bologna 05/11/2013 Partner’s logo Presented by: Martin Brandt

Cities facing data collection and modeling

in Urban Freight TransportSMILE partner meetingBologna

05/11/2013

Partner’s logo

Presented by:Martin Brandt

Page 2: Cities facing data collection and modeling in Urban Freight Transport SMILE partner meeting Bologna 05/11/2013 Partner’s logo Presented by: Martin Brandt

KLOK Kooperationszentrum Logistik e.V.

• is the competence center for logistics in Stuttgart Region,• has the overview over the relevant transport chains in the region,• knows the scientific and educational institutions in logistics,• consults economy and politics and takes part in projects:

• „C-LIEGE“ for sustainable goods transport on the urban last mile,• AlpFrail to shift trans-alpine traffic to rails,• Open ENLoCC, the European network of logistics competence centers

(KLOK is secretariat of the network),

• together with its partners runs the logistics network Baden-Württemberg LogBW.

Page 3: Cities facing data collection and modeling in Urban Freight Transport SMILE partner meeting Bologna 05/11/2013 Partner’s logo Presented by: Martin Brandt

Goods transport data:The municipal starting point

„We want to influence goods traffic flows.“

•We must know the amount of goods transport.•We must know the different transport flows (origins, destinations, routes).

=> „We need data!“

Page 4: Cities facing data collection and modeling in Urban Freight Transport SMILE partner meeting Bologna 05/11/2013 Partner’s logo Presented by: Martin Brandt

What is there?

• Traffic data exists (sometimes lots of data).

• Goods traffic data sometimes exists.

But: Usually, data exists only for traffic amounts

on certain roads / at certain points.

Page 5: Cities facing data collection and modeling in Urban Freight Transport SMILE partner meeting Bologna 05/11/2013 Partner’s logo Presented by: Martin Brandt

Data from traffic counts

Sources:•Physical counting.•Mobile counting devices.•Installed counting devices.•Other sources.

•Differentiation usually by size/weight of vehicle only.•Location of the counting device influences the result.

Page 6: Cities facing data collection and modeling in Urban Freight Transport SMILE partner meeting Bologna 05/11/2013 Partner’s logo Presented by: Martin Brandt

Data from traffic counts

Processing:•Differentiation by size/weight of vehicle only.•Perhaps lots of interpolation.•Perhaps based on manyassumptions from (experienced) consultants.Risk: Pseudo precision.Risk: Assumptions are interpreted as results.

Page 7: Cities facing data collection and modeling in Urban Freight Transport SMILE partner meeting Bologna 05/11/2013 Partner’s logo Presented by: Martin Brandt

The initial problem

• No matrix data.• No data of actual routes

chosen by the individual vehicles.

Possible Solution: • More data?• Perhaps down to individual trips?Result: No end of data request.

Page 8: Cities facing data collection and modeling in Urban Freight Transport SMILE partner meeting Bologna 05/11/2013 Partner’s logo Presented by: Martin Brandt

Potential solution: Model building

• Imagine the different types of urban goods transport.

• Imagine typical routes and flows for each type.

Page 9: Cities facing data collection and modeling in Urban Freight Transport SMILE partner meeting Bologna 05/11/2013 Partner’s logo Presented by: Martin Brandt

Potential solution: Model building

• First result: Urban goods mobility has many aspects.

• Decide which flows and modesare relevant. ?

?

Page 10: Cities facing data collection and modeling in Urban Freight Transport SMILE partner meeting Bologna 05/11/2013 Partner’s logo Presented by: Martin Brandt

Potentially relevant flows

• By type of cargo:– Bulk– Parcels– Textiles– Food– Cooled food– Bottles/barrels– Waste– ...

• By type of transport:– Through traffic– Last mile deliveries– Express deliveries– Delivery services– Service cars– Motorbikes– Bicycles– ...

Page 11: Cities facing data collection and modeling in Urban Freight Transport SMILE partner meeting Bologna 05/11/2013 Partner’s logo Presented by: Martin Brandt

Model Building Process

• For relevant flows, get a first understanding of:– The order of magnitude for the relevant area,– Important sources and sinks in the area,– Likely routes.

Page 12: Cities facing data collection and modeling in Urban Freight Transport SMILE partner meeting Bologna 05/11/2013 Partner’s logo Presented by: Martin Brandt

Model Building Process

• The model building process causes more and more understanding of the relevant partial flows.

• Combining the partial results allows for first estimates of volumes.

• Typical (existing) traffic data can be used to check and calibrate the estimations.

Page 13: Cities facing data collection and modeling in Urban Freight Transport SMILE partner meeting Bologna 05/11/2013 Partner’s logo Presented by: Martin Brandt

Result

• Understanding of the different types of goods traffic.• Existing data now is useful.• Independent interpretation of consultants‘ work.• Additional data request remains limited and is more

specific.• The influence of whatever measures can be estimated,

regarding– Influence upon the specific type of goods traffic,– Influence upon goods traffic as a whole.

• A planning tool has been created!

Page 14: Cities facing data collection and modeling in Urban Freight Transport SMILE partner meeting Bologna 05/11/2013 Partner’s logo Presented by: Martin Brandt

• Thank you for your kind attention!

Martin BrandtKLOK Kooperationszentrum Logistik e.V.Stammheimer Straße 10D-70806 Kornwestheim+49 7154 965 00 [email protected]