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13 May 2011, Brussels. ETISplus Road Data Workshop ETISplus : Road networks, impedances & link load data. ECKHARD SZIMBA, MARKUS KRAFT, JAN IHRIG, JOCHEN SIEGELE. Agenda. ETISplus main principle ETISplus road network model ETISplus impedances ETISplus demand data

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etisplus road data workshop etisplus road networks impedances link load data

13 May 2011, Brussels

ETISplus Road Data Workshop ETISplus: Road networks, impedances & link load data

ECKHARD SZIMBA, MARKUS KRAFT, JAN IHRIG, JOCHEN SIEGELE

slide2

Agenda

  • ETISplusmain principle
  • ETISplusroad network model
  • ETISplusimpedances
  • ETISplusdemand data
  • ETISplus long-distance coach data
  • Conclusions
slide3

ETISplus: mainprinciple

  • Usage of as many ›original‹ data as possible
  • Usage of generated data to fill data gaps
slide4

ETISplusroadnetwork model: General items

  • Scopeof the road network model: Comprising network and freight terminals
  • Purpose of the road network model: modelling passenger and freight transport demand in Europe, i.e. computation of transport impedances, assignment, external impacts
  • Basis: TRANS-TOOLSversion 2 network model
slide5

ETISplusroadnetwork model:

Main link attributes

  • Unique ID
  • Nodes (f-node, t-node)
  • (Maximum) speedfor passenger cars/ trucks
  • Road type
  • Number of lanes per direction
slide6

ETISplusroadnetwork model:

Main link attributes[continued]

  • Road charges (generic toll versus link-specific toll)
  • Average fuel costs, considering country-specific fleet characteristics
  • Information on ferry connections
  • Information on country border crossing
  • Traffic count data, differentiation by vehicle type
slide7

ETISplusroadnetwork model:

General methodology

slide11

Main terminal attributes

  • Inland freightterminals
    • Unique ID
    • Name
    • Country and NUTS-3 region the terminal is located in
    • Connectivity withother modes
    • Working hours per day
    • Working days per week
    • Services per week
slide12

Road impedancedata – generalitems

  • For modelling purposes, data mainly required at the level of O/D relations (NUTS-3NUTS-3 regions)
  • Main impedance data:travel time; travel distance; user costs (fuel costs, road charges)
  • ‘Observed data’ rarely available:=> computation of impedance data under application of models
slide13

Road demanddata

  • Two types of demand data:
    • Demand at the level of O/D relations
    • Demand at the level of network links
  • Demand at the level of O/D relations:to be estimated, since almost no observed data available
  • Demand at the level of network links:partly collected, partly modelled
slide14

Road link loaddata – trafficcountdata UN/ ECE

Availabilityof UN/ ECE roadtrafficcountdata

Network topology:

TRANS-TOOLS vs. UN/ ECE

slide18

Road link loaddata – overviewofmethodology

+

NATIONAL SOURCES

INTERNATIONAL SOURCES

CONSOLIDATION PROCESS

EU27 countries,

+ Switzerland, Norway,

+ Accession countries,

+Candidate countries,

+ Other neighb. countries

TEN-Tec

EUROSTAT

SOURCE DATA FORMATS

ROAD NETWORK MODEL

slide19

Data on long-distancecoachservices

Mappingof most relevant scheduled long-distance coach services

Demand at the level of O/D relations, based on level-of-service data

Data on fares per country

slide20

Conclusions

  • Very few ‘observed’ data are available at the level of O/D relations (demand, supply) => requirement to model data
  • The useofmanifolddifferent roadnetworkmodelsfordifferent purposes, such as
    • Network model A, usedformodellingwithin TRANS-TOOLS;
    • Network model B, usedforcollectinginfrastructure-relateddatafor TEN-Tec;
    • Network model C, usedforcollectingtrafficcountdataby UN/ ECE,
    • Network model D, usedforcollectingtrafficcountdata in country D,
    • imposesrelevant efficiencyrestrictionsfortransportmodellers
slide21

Conclusions[continued]

  • Several of the data gaps within TRANS-TOOLS will be bridged by ETISplus
  • ETISplus will clearly enhance the technical capabilities of TRANS-TOOLS, e.g. in terms of
    • Extension of the geographical scope of data availability
    • Enhanced status of quality of network model (topology, attributes, link alignment)
    • Inclusion of freight terminals
    • Enhanced status of level-of-service and demand data for long-distance coach transport
    • Refinement of traffic count data
slide22

Thankyouforyourattention.

Eckhard Szimba, Ph.D.

Karlsruhe Institute of Technology (KIT)

Institute forEconomicPolicy Research (IWW)

Network Economics

szimba@kit.edu