Estimating Household Travel Energy Consumption in Conjunction with a Travel Demand Forecasting Model

This paper presents a methodology for the calculation of the consumption of household travel energy at the level of the traffic analysis zone (TAZ) in conjunction with information that is readily available from a standard four-step travel demand model system. This methodology embeds two algorithms. The first provides a means of allocating non-home-based trips to residential zones that are the source of such trips, whereas the second provides a mechanism for incorporating the effects of household vehicle fleet composition on fuel consumption. The methodology is applied to the greater Atlanta, Georgia, metropolitan region in the United States and is found to offer a robust mechanism for calculating the footprint of household travel energy at the level of the individual TAZ; this mechanism makes possible the study of variations in the energy footprint across space. The travel energy footprint is strongly correlated with the density of the built environment, although socioeconomic differences across TAZs also likely contribute to differences in travel energy footprints. The TAZ-level calculator of the footprint of household travel energy can be used to analyze alternative futures and relate differences in the energy footprint to differences in a number of contributing factors and thus enables the design of urban form, formulation of policy interventions, and implementation of awareness campaigns that may produce more-sustainable patterns of energy consumption.

• Record URL:
  https://doi.org/10.3141/2668-01
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780309441643
• Authors:
  • Garikapati, Venu M
  • You, Daehyun
  • Zhang, Wenwen
  • Pendyala, Ram M
  • Guhathakurta, Subhrajit
  • Brown, Marilyn A
  • Dilkina, Bistra
• Publication Date: 2017

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Maps; References;
• Pagination: pp 1–10
• Monograph Title: Demand Forecasting, Volume 1
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Issue Number: 2668
  • Publisher: Transportation Research Board
  • ISSN: 0361-1981

Subject/Index Terms

• TRT Terms: Algorithms; Energy consumption; Households; Socioeconomic factors; Traffic analysis zones; Travel behavior; Travel demand; Vehicle fleets
• Geographic Terms: Atlanta Metropolitan Area
• Subject Areas: Energy; Highways; Planning and Forecasting; Safety and Human Factors;

Filing Info

• Accession Number: 01632501
• Record Type: Publication
• ISBN: 9780309441643
• Report/Paper Numbers: 17-04855
• Files: TRIS, TRB, ATRI
• Created Date: Apr 24 2017 9:32AM