Reality-Based Approach to Stated Preference Surveys

2005 ◽  
Vol 1917 (1) ◽  
pp. 72-79
Author(s):  
Xuehao Chu
Keyword(s):  
Travel Behavior ◽  
Stated Preference ◽  
Revealed Preference ◽  
Tampa Bay ◽  
Design Procedures ◽  
Street Crossing ◽  
Bay Area ◽  
Stated Preference Data ◽  
Recent Trends ◽  
Pedestrian Street

This paper defines a reality-based approach to soliciting stated preference data. It is related to existing preference methods in regard to both a common conceptual framework and recent trends in the literature. The reality-based approach is compared with the standard approach in both general characteristics and design procedures. Its expectations-based validity is illustrated with an application to pedestrian street-crossing behavior in the Tampa Bay area of Florida. The approach combines the realism of revealed-preference surveys and the flexibility of standard stated preference surveys. It adds to the toolbox of travel behavior research.

scholarly journals Joint Estimation of Revealed and Stated Preference Data: An Application to Recreational Red Snapper Valuation

2003 ◽  
Vol 32 (2) ◽  
pp. 209-221 ◽  
Author(s):  
Dhazn Gillig ◽  
Richard Woodward ◽  
Teofilo Ozuna ◽  
Wade L. Griffin
Keyword(s):  
Stated Preference ◽  
Contingent Valuation Method ◽  
Revealed Preference ◽  
Estimation Procedure ◽  
Joint Estimation ◽  
Red Snapper ◽  
Preference Data ◽  
Valuation Method ◽  
Upper Limit ◽  
Stated Preference Data

This study extends the joint estimation of revealed and stated preference data literature by accounting for truncation in the revealed preference data. The analytical model and estimation procedure are used to estimate the value of recreational red snapper fishing in the Gulf of Mexico. This recreational red snapper valuation is decomposed into its direct and indirect components. As expected, the value of recreational red snapper fishing using the joint revealed-stated preference model proposed in this analysis is bracketed on the upper limit by the value obtained using the contingent valuation method and on the lower limit by the travel cost method. The results also indicate that the joint model improves the precision of estimated recreational red snapper valuation.

scholarly journals Exploring the Mode Change Behavior of Park-and-Ride Users

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Shahi Taphsir Islam ◽  
Zhiyuan Liu ◽  
Majid Sarvi ◽  
Ting Zhu
Keyword(s):  
Public Transport ◽  
Travel Behavior ◽  
Stated Preference ◽  
Multinomial Logistic Regression ◽  
Revealed Preference ◽  
Travel Mode ◽  
Mode Change ◽  
Factors Affecting ◽  
Park And Ride ◽  
Change Behavior

This paper investigates the mode change behavior of park-and-ride (P&R) users, which is of considerable significance to analyze the effectiveness of P&R site on the commuters’ travel mode change as well as the increase of public transport mode share. Data from an intercept interview survey conducted at different P&R facilities in Metropolitan Melbourne is used. A questionnaire containing revealed preference (RP) and stated preference (SP) questions is used to interview the individuals who park at the facility and catch public transport to go to city. This study firstly aims to know the factors affecting current travel behavior using RP data and secondly to investigate the importance of the factors on influencing the commuters’ decision of travel mode choice using the SP data. The empirical models using multinomial logistic regression reveal that travel time taken by transit vehicle and transfer time at P&R stations are the primary factors affecting individuals’ decision on choosing public transport whereas parking fare is the additional factor affecting commuters’ choice of driving. Based on the results of this study, the effectiveness of P&R scheme on commuters’ travel mode change is evaluated which would be helpful to shed lights on the future construction of P&R sites.

How Much of Which Mode? Using Revealed Preference Data to Design Mobility As a Service Plans

2020 ◽  
Vol 2674 (7) ◽  
pp. 494-503 ◽  
Author(s):  
Daniel J. Reck ◽  
Kay W. Axhausen
Keyword(s):  
Public Transportation ◽  
Modular Design ◽  
Stated Preference ◽  
Revealed Preference ◽  
Central Question ◽  
Preference Data ◽  
Stated Preference Data ◽  
Shared Mobility ◽  
Bike Sharing ◽  
Season Tickets

Mobility as a service (MaaS) seeks to integrate emerging shared mobility modes with existing public transportation (PT). Decisive to its uptake will be attractive subscription plans that cater for heterogeneous mobility needs. Research on willingness to pay for such plans has commenced, yet remains divided on a central question: how much to include of which mode, and how? Complementing previous research building on stated preference data, in this study revealed preference data is used to analyze the viability of different subscription plan components (PT, car-sharing, bike-sharing, taxi), modes of inclusion (budgets in minutes and season tickets) and subscription cycles (weekly, monthly). PT season tickets are found to be viable for 83% of all respondents. Interestingly, the viability of minute budgets of car- and bike-sharing depends on subscription cycle length. Using a monthly subscription cycle, car-/bike-sharing appears viable to include in a bundle for 35%/31% of all respondents, respectively. Using a weekly subscription cycle, these figures drop to 1.4%/0.4%, respectively, as weekly variation in demand is much higher than monthly variation. In contrast to many current MaaS pilots, taxi use remains too infrequent to include as recurring credit in MaaS plans. Rather, pay-as-you-go is the economically more sensible option for consumers. This research therefore challenges the idea of all-inclusive mobility flat rates and suggests a more modular design.

Carrier Choices of Air Passengers in Pacific Rim: Using Comparative Analysis and Complementary Interpretation of Revealed Preference and Stated Preference Data

1996 ◽  
Vol 1562 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Kwang Eui Yoo ◽  
Norman Ashford
Keyword(s):  
Comparative Analysis ◽  
Choice Behavior ◽  
Stated Preference ◽  
Revealed Preference ◽  
Long Distance ◽  
Journey Time ◽  
Korean People ◽  
European Languages ◽  
Stated Preference Data ◽  
Major Factors

The flight choice behavior of Korean people for long-distance international air trips that take more than 10 hr air journey time was studied. Separate logit choice models were calibrated with revealed preference (RP) data and stated preference (SP) data, and the comparative analysis and the complementary interpretation of RP and SP data were tried. Required data were collected by the survey at Kimpo International Airport in Seoul, Korea, in 1993 and 1994. Journey time, air fare, service frequency, and nationality of airline were identified as major factors influencing flight choice in the market. It is remarkable that Korean airlines were considerably preferred in the market. Most Koreans are not fluent in English or other European languages and are not accustomed to western culture. This results in their preference for Korean airlines. Value of travel time and other trade-off ratios among variables to evaluate the relative importance of each factor were also identified through the results of RP and SP data analysis.

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