Econometric Issues in Estimating Consumer Preferences from Stated Preference Data: A Case Study of the Value of Automobile Travel Time

2001 ◽  
Vol 83 (4) ◽  
pp. 699-707 ◽  
Author(s):  
John Calfee ◽  
Clifford Winston ◽  
Randolph Stempski
Author(s):  
Kazuya Kawamura

Value of time for trucks was estimated from stated preference data collected in California. Truckers were asked about a choice between an existing free road versus a toll facility for different combinations of travel time and cost. Estimation was based on the point of diversion at which the switch of facility occurred in the stated preference questions and also on the use of a modified logit model in which the coefficients to be estimated were assumed to be distributed lognormally across the population. Comparisons between data sets that were segmented according to business type, shipment size, and the method of driver compensation indicated that for-hire trucks tend to have higher values of time than private ones and the companies that pay drivers hourly wages have higher values of time than those who pay commissions or fixed salary.


Author(s):  
Konstantinos V. Katsikopoulos ◽  
Duse-Anthony Yawa ◽  
Donald L. Fisher ◽  
Susan A. Duffy

2011 ◽  
Vol 9 (12) ◽  
pp. 1
Author(s):  
Chris Azevedo

The importance of accounting for a respondents travel time in recreation demand models is well established. In practice, most analysts use a fixed fraction of the respondents wage rate to value travel time. However, other approaches have been suggested in the literature. In this paper revealed and stated preference data on Iowa wetland usage is used to explore various specifications of travel time. It is shown that the choice of a particular specification has a direct impact on welfare estimates as well as the consistency between revealed and stated preference data.


1999 ◽  
Vol 16 ◽  
pp. 955-961
Author(s):  
Hongzhi Guan ◽  
Kazuo Nishii ◽  
Atsushi Tanaka ◽  
Takeshi Morikawa

Author(s):  
Tristan Cherry ◽  
Mark Fowler ◽  
Claire Goldhammer ◽  
Jeong Yun Kweun ◽  
Thomas Sherman ◽  
...  

The COVID-19 pandemic has fundamentally disrupted travel behavior and consumer preferences. To slow the spread of the virus, public health officials and state and local governments issued stay-at-home orders and, among other actions, closed nonessential businesses and educational facilities. The resulting recessionary effects have been particularly acute for U.S. toll roads, with an observed year-over-year decline in traffic and revenue of 50% to 90% in April and May 2020. These disruptions have also led to changes in the types of trip that travelers make and their frequency, their choice of travel mode, and their willingness to pay tolls for travel time savings and travel time reliability. This paper describes the results of travel behavior research conducted on behalf of the Virginia Department of Transportation before and during the COVID-19 pandemic in the National Capital Region of Washington, D.C., Maryland, and Northern Virginia. The research included a stated preference survey to estimate travelers’ willingness to pay for travel time savings and travel time reliability, to support forecasts of traffic and revenue for existing and proposed toll corridors. The survey collected data between December 2019 and June 2020. A comparison of the data collected before and during the pandemic shows widespread changes in travel behavior and a reduction in willingness to pay for travel time savings and travel time reliability across all traveler types, particularly for drivers making trips to or from work. These findings have significant implications for the return of travelers to toll corridors in the region and future forecasts of traffic and revenue.


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