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Title: Framework for evaluating transportation control measures: Energy, air quality, and mobility tradeoffs. Research report

Technical Report ·
OSTI ID:6797381

Transportation planners, engineers, and air quality analysts are increasingly understanding the need for coordinated efforts in providing efficient and effective transportation systems while addressing serious energy and environmental concerns. At present, however, transportation planning and air quality analysis models are rather incompatible. Emissions models require detailed inputs which are not generally provided by transportation planning and analysis tools. Traditionally, transportation planning is comprised of four stages: trip generation, trip distribution, mode choice, and network assignment. In general, a forecast population, auto ownership, employment, and land use are inputs into the stages sequentially. This planning process does not adequately account for the manner in which individuals make travel decisions. The only travel-related decision that can be predicted using this traditional planning method is the mode of travel, while transportation control measures (TCMs), affect trip generation and trip distribution as well as route and mode choice. Variables required for emissions estimation have not routinely been components of transportation planning models. What is needed is a methodology for combining transportation planning and analysis models with emissions factor models for predicting the effectiveness of various TCMs. The application of the macro-framework is demonstrated through analyses of two sample networks. The results show that the effectiveness of a TCM depends on the characteristics of the urban environment in which it is implemented. Failure to analyze the implication of a TCM prior to its implementation may yield results inconsistent with environmental and energy policy objectives. In addition, the results show that the choice of an emissions model is very critical in air quality analysis.

Research Organization:
Texas Univ., Austin, TX (United States). Center for Transportation Research
OSTI ID:
6797381
Report Number(s):
PB-95-146668/XAB
Country of Publication:
United States
Language:
English