Valuation of Transport Externalities by Stated Choice Methods

2007 ◽  
pp. 249-272 ◽  
Author(s):  
Juan de Dios Ortúzar ◽  
Luis Ignacio Rizzi
Keyword(s):  
Stated Choice

Are More Profiles Better Than Fewer?: Searching for Parsimony and Relevance in Stated Choice Experiments

2000 ◽  
Vol 1719 (1) ◽  
pp. 165-174 ◽  
Author(s):  
Peter R. Stopher ◽  
David A. Hensher
Keyword(s):  
New Zealand ◽  
Degrees Of Freedom ◽  
Choice Model ◽  
Fractional Factorial ◽  
Sources Of Information ◽  
Stated Choice ◽  
Complex Design ◽  
Data Collection Instrument ◽  
Main Effects ◽  
Better Than

Transportation planners increasingly include a stated choice (SC) experiment as part of the armory of empirical sources of information on how individuals respond to current and potential travel contexts. The accumulated experience with SC data has been heavily conditioned on analyst prejudices about the acceptable complexity of the data collection instrument, especially the number of profiles (or treatments) given to each sampled individual (and the number of attributes and alternatives to be processed). It is not uncommon for transport demand modelers to impose stringent limitations on the complexity of an SC experiment. A review of the marketing and transport literature suggests that little is known about the basis for rejecting complex designs or accepting simple designs. Although more complex designs provide the analyst with increasing degrees of freedom in the estimation of models, facilitating nonlinearity in main effects and independent two-way interactions, it is not clear what the overall behavioral gains are in increasing the number of treatments. A complex design is developed as the basis for a stated choice study, producing a fractional factorial of 32 rows. The fraction is then truncated by administering 4, 8, 16, 24, and 32 profiles to a sample of 166 individuals (producing 1, 016 treatments) in Australia and New Zealand faced with the decision to fly (or not to fly) between Australia and New Zealand by either Qantas or Ansett under alternative fare regimes. Statistical comparisons of elasticities (an appropriate behavioral basis for comparisons) suggest that the empirical gains within the context of a linear specification of the utility expression associated with each alternative in a discrete choice model may be quite marginal.

Economic Values of Dolphin Excursions in Hawaii: A Stated Choice Analysis

2009 ◽  
Vol 24 (1) ◽  
pp. 61-76 ◽  
Author(s):  
WUYANG HU ◽  
KATYA BOEHLE ◽  
LINDA COX ◽  
MINLING PAN
Keyword(s):  
Stated Choice ◽  
Economic Values ◽  
Choice Analysis

scholarly journals MEASUREMENT OF OPTION VALUES BY STATED CHOICE METHOD AND PROJECT APPRAISAL FOR LRT AND LOCAL RAILWAY

2011 ◽  
Vol 67 (5) ◽  
pp. 67_I_45-67_I_56
Author(s):  
Mitsuaki KAWABATA ◽  
Shoji MATSUMOTO ◽  
Kazushi SANO ◽  
Satoshi TSUCHIYA
Keyword(s):  
Stated Choice ◽  
Project Appraisal ◽  
Option Values ◽  
Choice Method
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