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Feasibility studies: Transport demand models Belgium & Lombardia Dr. Eric Cornelis University of Namur Transportatio

Feasibility studies: Transport demand models Belgium & Lombardia Dr. Eric Cornelis University of Namur Transportation Research Group. 2 feasibility study areas : on desk study of applicability of OPUS methodology Transport Belgium Lombardia Health 2 case studies :

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Feasibility studies: Transport demand models Belgium & Lombardia Dr. Eric Cornelis University of Namur Transportatio

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  1. Feasibility studies:Transport demand modelsBelgium & LombardiaDr. Eric CornelisUniversity of NamurTransportation Research Group Research Methods Festival

  2. 2 feasibility study areas : on deskstudy of applicability of OPUS methodology • Transport • Belgium • Lombardia • Health • 2 case studies : in the field applications of OPUS methodology • London • Zurich Research Methods Festival

  3. Transport feasibility study : Aim • Demonstrate the feasibility of OPUS approach on a national (or regional) scale transport issue Research Methods Festival

  4. Belgian feasibility study : objective • Overall objective: To combine: • census • administrative, • land use, • employment and • schooling data with the • national household mobility survey (MOBEL) data • to create a synthetic population with associated synthetic mobility behaviour, for transport analysis and forecasting «exhaustive » data Research Methods Festival

  5. Lombardia feasibility study : objective • Obtaining small area travel information from a regional area information database • combination of data sources that can inform such a disaggregation Research Methods Festival

  6. 1st step : GAPM Belgian case Research Methods Festival

  7. 2nd step : BBN Census data → Population from origin zone n ips Census and ODRL → Trips from origin zone by purpose and population segment Lombardia case ODRL → Trips between origin and destination zones by mode, purpose, and population segment Tijmps Transport model The π in fijπm[ps] corresponds to the proportion of trips for an OD on a link; as there can be more than one path this can have a value between 0 and 1; the TRIPS model for Lombardia can output a route choice probability file that OPUS could use directly if some additional interfacing software was to be produced Link counts v ams Research Methods Festival

  8. Multi-dimensional Data Cube Application of Dominici’s method Research Methods Festival

  9. Conclusions • OPUS methodology feasible for dealing with different data sources with different levels of agregation, with gaps, with different uncertainties • Improved estimation of detailed travel demand Research Methods Festival

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