scholarly journals Alternatives For Incorporating Opportunity Cost Of Time In Recreation Demand Models

2011 ◽  
Vol 9 (12) ◽  
pp. 1
Author(s):  
Chris Azevedo
Keyword(s):  
Travel Time ◽  
Opportunity Cost ◽  
Wage Rate ◽  
Stated Preference ◽  
Recreation Demand ◽  
Direct Impact ◽  
Preference Data ◽  
Stated Preference Data ◽  
Demand Models ◽  
Cost Of Time

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.

Perceived Value of Time for Truck Operators

2000 ◽  
Vol 1725 (1) ◽  
pp. 31-36 ◽  
Author(s):  
Kazuya Kawamura
Keyword(s):  
Travel Time ◽  
Cost Estimation ◽  
Logit Model ◽  
Stated Preference ◽  
Perceived Value ◽  
Value Of Time ◽  
Data Sets ◽  
Preference Data ◽  
Stated Preference Data ◽  
Population Comparisons

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.

Advanced Travel Time Information and Drivers' Route Choice: Stated Preference Data

1999 ◽  
Vol 43 (18) ◽  
pp. 967-971
Author(s):  
Konstantinos V. Katsikopoulos ◽  
Duse-Anthony Yawa ◽  
Donald L. Fisher ◽  
Susan A. Duffy
Keyword(s):  
Travel Time ◽  
Stated Preference ◽  
Route Choice ◽  
Preference Data ◽  
Stated Preference Data ◽  
Time Information

The Opportunity Cost of Travel Time in Recreation Demand Models

1983 ◽  
Vol 59 (3) ◽  
pp. 259 ◽  
Author(s):  
V. Kerry Smith ◽  
William H. Desvousges ◽  
Matthew P. McGivney
Keyword(s):  
Travel Time ◽  
Opportunity Cost ◽  
Recreation Demand ◽  
Demand Models

Assessment of Intermodal Transfer Penalties Using Stated Preference Data

1997 ◽  
Vol 1607 (1) ◽  
pp. 74-80 ◽  
Author(s):  
Rongfang Liu ◽  
Ram M. Pendyala ◽  
Steven Polzin
Keyword(s):  
New York ◽  
Ad Hoc ◽  
Travel Demand ◽  
Stated Preference ◽  
Mode Choice ◽  
Discrete Choice Models ◽  
Preference Data ◽  
Stated Preference Data ◽  
Penalty Factor ◽  
Demand Models

Since the passage of the Intermodal Surface Transportation Efficiency Act of 1991 there has been an increasing interest in the planning and design of an intermodal passenger transportation system. It has long been recognized that modal transfer has a certain penalty associated with it. The recent surge in intermodal planning merits an in-depth examination and accurate measurement of the penalties associated with transfers between modes. Current planning procedures usually involve an ad hoc treatment of transfer penalties based on various assumptions of wait time and value of time. To better assess the disutility associated with modal transfers, discrete choice models are used to quantify transfer penalties and their effects on mode choice in different transfer contexts. Revealed and stated preference data from the New York–New Jersey commute corridors are used to estimate logit models of mode choice reflecting the impacts of modal transfers. The model results suggest that the penalty factor associated with transfer time should be higher than that traditionally used in travel demand models and that the value of the transfer penalty varies according to the type of modal transfer.

scholarly journals A Model of Car and P&BR Choice in Commuting Trips Combining the Experiment Day Data with the Stated Preference Data

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