期刊
TRANSPORTATION
卷 44, 期 2, 页码 293-310出版社
SPRINGER
DOI: 10.1007/s11116-015-9638-6
关键词
Passenger travel; Time series model; Mode choice; Travel time budget; Peak car; Scenario
资金
- Stanford University's Precourt Energy Efficiency Center
Based upon a long-term historical data set of US passenger travel, a model is estimated to project aggregate transportation trends through 2100. One of the two model components projects total mobility (passenger-km traveled) per capita based on per person GDP and the expected utility of travel mode choices (logsum). The second model component has the functional form of a logit model, which assigns the projected travel demand to competing transportation modes. An iterative procedure ensures the average amount of travel time per person to remain at a pre-specified level through modifying the estimated value of time. The outputs from this model can be used as a first-order estimate of a future benchmark against which the effectiveness of various transportation policy measures or the impact of autonomous behavioral change can be assessed.
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