Can respondent uncertainty be ignored when exploring heterogeneity in public preferences for air pollution treatment policies? Comparative results from choice experiment analysis

2022 ◽  
Vol 808 ◽  
pp. 152169
Author(s):  
Debin Zheng ◽  
Changlin Ao ◽  
Biqi Mao ◽  
Lishan Xu
Keyword(s):  
Air Pollution ◽  
Choice Experiment ◽  
Public Preferences ◽  
Pollution Treatment ◽  
Comparative Results ◽  
Respondent Uncertainty ◽  
Treatment Policies ◽  
Experiment Analysis

scholarly journals Public Preferences for Allocating Ventilators in an Intensive Care Unit: A Discrete Choice Experiment

2021 ◽  
Author(s):  
Richard Norman ◽  
Suzanne Robinson ◽  
Helen Dickinson ◽  
Iestyn Williams ◽  
Elena Meshcheriakova ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Public Preferences

scholarly journals Public preferences for primary care provision in Germany – a discrete choice experiment

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Kim-Sarah Krinke ◽  
Ulla Tangermann ◽  
Volker Eric Amelung ◽  
Christian Krauth
Keyword(s):  
Primary Care ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Care Provision ◽  
Public Preferences

scholarly journals A Discrete-Choice Experiment to capture public preferences on the benefits of home-visiting programme for teenage mothers

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 677
Author(s):  
Eugena Stamuli ◽  
Gerry Richardson ◽  
Michael Robling ◽  
Michelle Edwards ◽  
David Torgerson ◽  
...  
Keyword(s):  
Child Development ◽  
Life Course ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
General Public ◽  
Choice Experiment ◽  
Social Care ◽  
Building Blocks ◽  
Public Preferences ◽  
Health And Social Care

Background: Complex health and social care interventions impact on a multitude of outcomes. One such intervention is the Family Nurse Partnership (FNP) programme, which was introduced to support young, first-time mothers. Our study quantified the relative values that the general public place on the outcomes of FNP, as they were identified and measured in the relevant randomized trial, Building Blocks trial (BBs). Methods: A discrete choice experiment (DCE) was employed. Respondents chose between two scenarios describing hypothetical sets of trial outcomes. BBs compared FNP care for teenagers expecting their first child with standard NHS care. 14 attributes covered three areas: pregnancy and birth, child development and maternal life course. Due to large number of attributes, a “blocked attributes” approach was adopted: the attributes were split across four designs which contained two common attributes. Data were analysed separately for each design as well as pooled across four designs. Random effects probit model was employed for the analysis. Results: Over 1000 participants completed four designs. The analyses on the separate designs and those on pooled data yielded broadly similar results. Respondents valued higher the outcomes related to child development and their needs, followed by the outcomes related to maternal life course. Preferences varied by the age of the respondents but not by their guardianship/parentship status.  Conclusions: Individual preferences were consistent with a priori expectations and were intuitive.  The DCE results can be used to incorporate the general public preferences into the decision making process for which public health and social care policies should be adopted.

scholarly journals Economic Valuation of the Renewal of Urban Streets: A Choice Experiment

2020 ◽  
Vol 12 (12) ◽  
pp. 4808
Author(s):  
Yuhan Shao ◽  
Xinyu Xu ◽  
Like Jiang ◽  
Romain Crastes dit Sourd
Keyword(s):  
Decision Making ◽  
Choice Experiment ◽  
Online Survey ◽  
Economic Valuation ◽  
Cost Benefit ◽  
Public Preferences ◽  
Strong Basis ◽  
Urban Street ◽  
Cost Benefit Ratio ◽  
Bicycle Lane

Examination of users’ preferences and needs can provide an additional and strong basis for decision making, which is applicable in the case of urban street renewal. In this study, a choice experiment on street renewal plans in Shanghai was conducted using an online survey (N = 546), and people’s willingness to pay (WTP) for a set of street attributes was estimated, including bicycle lane separation, pedestrian path width, green looking ratio and recreational and commercial amenities. By comparing WTPs, the results show that people had greater preferences for adding resting facilities than any other attributes in this scene, and they also give some examples of prices of street attributes in a street renewal scene. The gender, age and occupation of participants had a significant effect on WTPs. Females showed greater WTP for setting separate bicycle lanes and improving greening and amenities, and the age of street users had a positive effect on WTP through the payment for street renewal. The reasoning section of the survey indicated the concern on the cost–benefit ratio, the need to renew and overall impression when choosing, and only a few participants were unwilling to pay anything for street improvement. This kind of economic valuation can estimate the values that people place on street attributes that are otherwise not measurable in design and planning practice; it can help us understand public preferences for street renewal and support decision making.

Willingness to pay for hydrogen fuel cell electric vehicles in China: A choice experiment analysis

2020 ◽  
Vol 45 (59) ◽  
pp. 34346-34353 ◽  
Author(s):  
Wenbo Li ◽  
Ruyin Long ◽  
Hong Chen ◽  
Feiyu Chen ◽  
Xiao Zheng ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Willingness To Pay ◽  
Electric Vehicles ◽  
Choice Experiment ◽  
Hydrogen Fuel Cell ◽  
Hydrogen Fuel ◽  
Fuel Cell Electric Vehicles ◽  
Experiment Analysis

Public preferences for home care services for people with dementia: A discrete choice experiment on personhood

2020 ◽  
Vol 245 ◽  
pp. 112675 ◽  
Author(s):  
Sharon Walsh ◽  
Eamon O'Shea ◽  
Tom Pierse ◽  
Brendan Kennelly ◽  
Fiona Keogh ◽  
...  
Keyword(s):  
Home Care ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Home Care Services ◽  
Public Preferences ◽  
Care Services ◽  
People With Dementia
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