This series of reports provides metropolitan planning organizations with analytical tools that can be used to evaluate the effectiveness of alternative transportation policies in achieving reductions in overall fuel consumption. To ensure a high measure of accuracy, the analysis goes beyond the first order effects, i.e., the shift from single occupant autos as the mode chosen for the work trip to more fuel efficient means of travel. Questions treated include what will happen with the autos left at home as a result of increased carpooling for work trips. Will certain policies, such as gasoline price increases, directly impact non-work tripmaking. Will a particular transportation policy affect all segments of the population, or will certain groups be impacted significantly more than others. The methodology developed links together several disaggregate travel demand models to predict auto ownership, work trip mode choice, and non-work travel demands. This report introduces the theoretical basis for the travel demand models used, describes these models and their linkages both with each other and with the various submodels, and documents the assumptions made in developing the model system and using it to forecast responses to alternative transportation policies. Emphasis is placed on the conceptual framework of the model system and specification of the individual models and submodels. (ERA citation 05:005915)
Urban Transportation Energy Conservation: Analytic Procedures for Estimating Changes in Travel Demand and Fuel Consumption. Final Report
1979
153 pages
Report
No indication
English
Policies, Regulations & Studies , Transportation , Automobiles , Energy conservation , Transportation systems , Urban areas , Carpooling , Demand factors , Energy models , Forecasting , Fuel consumption , Implementation , Ownership , Planning , Socio-economic factors , Transport , Variations , ERDA/320203 , ERDA/291000 , ERDA/298000
Estimating Household Travel Energy Consumption in Conjunction with a Travel Demand Forecasting Model
Transportation Research Record | 2017
|Projecting travel demand for urban transportation studies
Engineering Index Backfile | 1963
|