PUK27 DOES NUMERACY AFFECT CHOICE CONSISTENCY IN STATED PREFERENCE EXPERIMENTS?

Survey experiments are a core tool for causal inference. Yet, the design of classical survey experiments prevents them from identifying which components of a multidimensional treatment are influential. Here, we show howconjoint analysis, an experimental design yet to be widely applied in political science, enables researchers to estimate the causal effects of multiple treatment components and assess several causal hypotheses simultaneously. In conjoint analysis, respondents score a set of alternatives, where each has randomly varied attributes. Here, we undertake a formal identification analysis to integrate conjoint analysis with the potential outcomes framework for causal inference. We propose a new causal estimand and show that it can be nonparametrically identified and easily estimated from conjoint data using a fully randomized design. The analysis enables us to propose diagnostic checks for the identification assumptions. We then demonstrate the value of these techniques through empirical applications to voter decision making and attitudes toward immigrants.

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Value of the Facilities and Attributes of New Heavy Rail and Bus Rapid Transit Projects in a Developing City: The Case of Lima, Peru

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/1835-07 ◽

2003 ◽

Vol 1835 (1) ◽

pp. 50-58 ◽

Cited By ~ 8

Author(s):

Manuel J. Martínez ◽

Javier Cornejo

Keyword(s):

No Value ◽

Stated Preference ◽

Bus Rapid Transit ◽

Rapid Transit ◽

Stated Preference Experiments ◽

Operational Design ◽

Feeder Bus ◽

Bus Service ◽

Heavy Rail

Preferences of heavy rail (HR) system users are studied in relation to the system’s alignment and bus connections in the context of a developing city. Stated preferences techniques are applied to estimate the monetary value of a long set of attributes of a new mass transit service: HR connected to bus rapid transit (BRT). Attributes include time, fare, bicycle storage at stations, stairways, feeder bus integration, integration with BRT, type of bus service, bus itinerary, and quality of buses. The long set of attributes deserved three stated preference experiments grouped by time and fare, characteristics of HR, and characteristics of BRT. They were linked by the common attribute of the fare. Results of the values of the attributes are presented. The value of the preference for HR is reduced to 8% when a feeder bus is not offered and the HR route does not reach downtown. The value of a feeder bus using small vehicles is higher than the value of BRT even if BRT operates with new buses and express service to downtown. Bicycle storage or escalators have no value for the prospective passenger. After the response of users to the new services is analyzed, conclusions for the operational design of the system are presented.

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Virtual Immersive Reality for Stated Preference Travel Behavior Experiments: A Case Study of Autonomous Vehicles on Urban Roads

Transportation Research Record Journal of the Transportation Research Board ◽

10.1177/0361198118776810 ◽

2018 ◽

Vol 2672 (50) ◽

pp. 35-45 ◽

Cited By ~ 18

Author(s):

Bilal Farooq ◽

Elisabetta Cherchi ◽

Anae Sobhani

Keyword(s):

Travel Behavior ◽

Autonomous Vehicles ◽

Stated Preference ◽

Urban Streets ◽

Stated Preference Experiments ◽

Visual Aid

Stated preference experiments have been criticized for lack of realism. This issue is particularly visible when the scenario does not have a well understood prior reference, as in the case of research into demand for autonomous vehicles. The paper presents Virtual Immersive Reality Environment (VIRE), which is capable of developing highly realistic, immersive, and interactive choice scenarios. We demonstrate the use of VIRE in researching pedestrian preferences related to autonomous vehicles and associated infrastructure changes on urban streets in Montréal, Canada. The results are compared with predominantly used approaches: text-only and visual aid. We show that VIRE results in respondents having better understanding of the scenario and it yields more consistent results.

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