scholarly journals A stated preference experiments for mobility-as-a-service plans

2017 ◽  
Author(s):  
Melinda Matyas ◽  
Maria Kamargianni
Keyword(s):  
Stated Preference ◽  
Stated Preference Experiments

scholarly journals Causal Inference in Conjoint Analysis: Understanding Multidimensional Choices via Stated Preference Experiments

2014 ◽  
Vol 22 (1) ◽  
pp. 1-30 ◽  
Author(s):  
Jens Hainmueller ◽  
Daniel J. Hopkins ◽  
Teppei Yamamoto
Keyword(s):  
Causal Inference ◽  
Conjoint Analysis ◽  
Stated Preference ◽  
Attitudes Toward Immigrants ◽  
Multiple Treatment ◽  
Stated Preference Experiments ◽  
Randomized Design ◽  
Survey Experiments ◽  
Voter Decision Making ◽  
Identification Analysis

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.

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

2003 ◽  
Vol 1835 (1) ◽  
pp. 50-58 ◽  
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.

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

2018 ◽  
Vol 2672 (50) ◽  
pp. 35-45 ◽  
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.

scholarly journals Eliciting Preferences in Dentistry with Multiattribute Stated Preference Methods: A Systematic Review

2018 ◽  
Vol 3 (4) ◽  
pp. 326-335 ◽  
Author(s):  
S. Barber ◽  
S. Pavitt ◽  
B. Khambay ◽  
H. Bekker ◽  
D. Meads
Keyword(s):  
Decision Making ◽  
Oral Health ◽  
Service Delivery ◽  
Stated Preference ◽  
Preference Elicitation ◽  
Health States ◽  
Stated Preference Methods ◽  
The Public ◽  
Elicitation Methods ◽  
Stated Preference Experiments

Background: Preference experiments are used to understand how patients and stakeholders value aspects of health care. These methods are gaining popularity in dentistry, but quality and breadth of use have not been evaluated. Objectives: To describe multiattribute stated preference experiment use in dentistry through illustration and critique of existing studies. Data Sources: Systematic literature search of PubMed, Econlit and Ovid for Medline, Embase, PsychINFO, PsychARTICLES, and All EBM Reviews, as well as gray literature. Study Eligibility: Multiattribute stated preference experiments eliciting preferences for dental service delivery, treatments, and oral health states from the perspective of patients, the public, and dental professionals. Outcomes of interest were preference weights and marginal rates of substitution. Study selection was independently performed by 2 reviewers. Appraisal: Ten-point checklist published by the International Society of Pharmacoeconomics and Outcomes Research was used for quality assessment. Synthesis: Descriptive analysis. Results: Searches identified 12 records published between 1999 and 2015, mostly in nondental academic journals. Studies were undertaken in high-income countries in Europe and the United States. The studies aimed to elicit preference for service delivery, treatment, or oral health states from the perspective of the patients, dentists, or the public via discrete choice experiment methods. The quality scores for the studies ranged from 53% to 100%. Limitations: A detailed description and critique of stated preference methods are provided, but it was not possible to provide synthesized preference data. Conclusions: Multiattribute stated preference experiments are increasingly popular, but understanding the methods and outputs is essential for designing and interpreting preference studies to improve patient care. Patient preferences highlight important considerations for decision making during treatment planning. Valuation of health states and estimation of willingness-to-pay are important for resource planning and allocation and economic evaluation. Preference estimates and relative value of attributes for interventions and service delivery inform development and selection of treatments and services (PROSPERO 21.3.17: CRD42017059859). Knowledge Transfer Statement: Understanding patient, professional, and public preferences is fundamental for evidence-based decision making and treatment delivery. Preference elicitation methods can be used to estimate the value given to health states, service delivery, individual treatments, and health outcomes. By describing and appraising the methodology and application of multiattribute stated preference experiments in dentistry, this review provides an essential first step to wider use of well-designed, high-quality preference elicitation methods.

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