TEMPORAL DISAGGREGATION OF TRAVEL DEMAND FOR HIGH RESOLUTION EMISSIONS INVENTORIES

The commonly used photochemical air quality model, the Urban Airshed Model (UAM), requires emission estimates with grid-based, hourly resolution. In contrast, travel demand models, used to simulate the travel activity model inputs for the transportation-related emissions estimation, typically only provide traffic volumes for a specific travel period (eg the am and pm peak periods). A few transportation agencies have developed procedures to allocate period-based travel demand data into hourly emission inventories for regional grid cells. Because there was no theoretical framework for disaggregating period-based volumes to hourly volumes, application of these procedures frequently relied upon a single hypothetical hourly distribution of travel volumes. This study presents a new theoretical modeling framework that integrates traffic count data and travel demand model link volume estimates to derive intra-period hourly volume estimates by trip purpose. The authors propose a new interpretation of the model coefficients and define hourly allocation factors by trip purpose. These allocation factors can be used to disaggregate the travel demand model 'period-based' simulation volumes into hourly resolution, thereby improving grid-based, hourly emission estimates in the UAM. (A)

  • Availability:
  • Corporate Authors:

    Elsevier

    The Boulevard, Langford Lane
    Kidlington, Oxford  United Kingdom  OX5 1GB
  • Authors:
    • LIN, K-S
    • Niemeier, D A
  • Publication Date: 1998-11

Language

  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 00758463
  • Record Type: Publication
  • Source Agency: Transport Research Laboratory
  • Files: ITRD, ATRI
  • Created Date: Jan 25 1999 12:00AM