Trade-Offs Between Time, Cost, and Uncertainty by Commuters in Hyderabad, India: Stated Preference Survey Assessment

2004 ◽  
Vol 1878 (1) ◽  
pp. 158-163 ◽  
Author(s):  
Roger Gorham ◽  
Seshasai Kanchi ◽  
Bill Cowart ◽  
Raghava Chari ◽  
Viresh Goel ◽  
...  
Keyword(s):  
Stated Preference ◽  
Time Cost ◽  
Stated Preference Survey ◽  
Trade Offs

scholarly journals Evaluating pedestrian perceptions of street design with a 3D stated preference survey

2020 ◽  
pp. 239980832094605 ◽  
Author(s):  
Dena Kasraian ◽  
Sneha Adhikari ◽  
David Kossowsky ◽  
Michael Luubert ◽  
Brent G Hall ◽  
...  
Keyword(s):  
Stated Preference ◽  
Multinomial Logit Model ◽  
Presentation Mode ◽  
Stated Preference Survey ◽  
Street Design ◽  
Mobility Function ◽  
Trade Offs ◽  
High Preference ◽  
Mixed Multinomial Logit Model ◽  
The Many

In many places, streets are still primarily designed for the convenience of motorists, considering mobility function as the principal design goal. There is a scarcity of empirical evidence on the relationship between the design of a street and how it is experienced by pedestrians who use it. This work focuses on quantifying pedestrians’ perception of walkability through a stated preference survey using a dynamic 3D representation of various street designs in Toronto, Canada. The stated preference scenarios are generated through a rule-based 3D environment (Esri’s CityEngine) and animated using a gaming engine (Unity). A random sample of 600 Torontonians is used for the empirical investigation by estimating a mixed multinomial logit model. The results indicate that there is a high preference for (i) streets that include transit lanes as opposed to car-exclusive lanes, (ii) the presence of trees on the sidewalk, and (iii) two-way cycle paths on the curb lane. Furthermore, pedestrians are willing to trade sidewalk width for the presence of trees and outdoor dining. The survey’s innovative presentation mode and its findings can contribute to the development of much-needed evidence-based design tools to assess the trade-offs required between the many possible uses of roadway space, while focusing on the overlooked role of the pedestrian experience.

Commuter Bicyclist Route Choice: Analysis Using a Stated Preference Survey

2003 ◽  
Vol 1828 (1) ◽  
pp. 107-115 ◽  
Author(s):  
Monique A. Stinson ◽  
Chandra R. Bhat
Keyword(s):  
Travel Time ◽  
Stated Preference ◽  
Empirical Models ◽  
Policy Implications ◽  
Facility Planning ◽  
Quality Factors ◽  
Stated Preference Survey ◽  
Factors Affecting ◽  
Choice Analysis ◽  
Using Data

The importance of factors affecting commuter bicyclists’ route choices was evaluated. Both route-level (e.g., travel time) and link-level (e.g., pavement quality) factors are examined. Empirical models are estimated using data from a stated preference survey conducted via the Internet. The models indicate that, for commuter bicyclists, travel time is the most important factor in choosing a route. Presence of a bicycle facility (especially a bike lane or separate path), the level of automobile traffic, pavement or riding surface quality, and presence of a bicycle facility on a bridge are also very important determinants. Furthermore, there are policy implications of these results for bicycle facility planning.

scholarly journals Understanding uptake of digital health products: Methodology tutorial for a Discrete Choice Experiment using a Bayesian efficient design (Preprint)

2021 ◽  
Author(s):  
Dorothy Szinay ◽  
Rory Cameron ◽  
Felix Naughton ◽  
Jennifer A. Whitty ◽  
Jamie Brown ◽  
...  
Keyword(s):  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Stated Preference ◽  
Digital Health ◽  
Revealed Preferences ◽  
Quantitative Methodology ◽  
Efficient Design ◽  
Trade Offs ◽  
Health Products

UNSTRUCTURED Understanding the preferences of potential users of digital health products is beneficial for digital health policy and planning. Stated preference methods could help elicit individuals’ preferences in the absence of observational data. A discrete choice experiment (DCE) is a commonly used stated preference method; a quantitative methodology that argues that individuals make trade-offs when engaging in a decision by choosing an alternative of a product or service that offers the greatest utility, or benefit. This methodology is widely used in health economics in situations where revealed preferences are difficult to collect but is much less used in the field of digital health. This article outlines the stages involved in developing a discrete choice experiment. As a case study, it uses the application of a DCE for revealing preferences in targeting the uptake of smoking cessation apps. It describes the establishment of attributes, the construction of choice tasks of two or more alternatives, and the development of the experimental design. This tutorial offers a guide for researchers with no prior knowledge of this research technique.

A new framework for time-cost trade-off considering float loss impact

2017 ◽  
Vol 22 (1) ◽  
pp. 20-36 ◽  
Author(s):  
Sameh Monir El-Sayegh ◽  
Rana Al-Haj
Keyword(s):  
Optimization Technique ◽  
Time Cost ◽  
Trade Off ◽  
Deterministic Optimization ◽  
Content Type ◽  
Project Duration ◽  
Trade Offs ◽  
Project Objectives ◽  
The Impact ◽  
New Framework

Purpose The purpose of this paper is to propose a new framework for time–cost trade-off. The new framework provides the optimum time–cost value taking into account the float loss impact. Design/methodology/approach The stochastic framework uses Monte Carlo Simulation to calculate the effect of float loss on risk. This is later translated into an added cost to the trade-off problem. Five examples, from literature, are solved using the proposed framework to test the applicability of the developed framework. Findings The results confirmed the research hypothesis that the new optimum solution will be at a higher duration and cost but at a lower risk compared to traditional methods. The probabilities of finishing the project on time using the developed framework in all five cases were better than those using the classical deterministic optimization technique. Originality/value The objective of time–cost trade-off is to determine the optimum project duration corresponding to the minimum total cost. Time–cost trade-off techniques result in reducing the available float for noncritical activities and thus increasing the schedule risks. Existing deterministic optimization technique does not consider the impact of the float loss within the noncritical activities when the project duration is being crashed. The new framework allows project managers to exercise new trade-offs between time, cost and risk which will ultimately improve the chances of achieving project objectives.

scholarly journals Understanding Midwives’ Preferences for Providing Information About Newborn Bloodspot Screening

2018 ◽  
Vol 3 (1) ◽  
pp. 238146831774617 ◽  
Author(s):  
Stuart James Wright ◽  
Fiona Ulph ◽  
Tina Lavender ◽  
Nimarta Dharni ◽  
Katherine Payne
Keyword(s):  
Conjoint Analysis ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Screening Program ◽  
Stated Preference ◽  
Information Provision ◽  
Stated Preference Survey ◽  
Newborn Bloodspot Screening ◽  
Types Of Information

Background: Understanding preferences for information provision in the context of health care service provision is challenging because of the number of potential attributes that may influence preferences. This study aimed to identify midwives’ preferences for the process and outcomes of information provision in an expanded national newborn bloodspot screening program. Design: A sample of practicing midwives completed a hybrid-stated preference survey including a conjoint analysis (CA) and discrete choice experiment to quantify preferences for the types of, and way in which, information should be provided in a newborn bloodspot screening program. Six conjoint analysis questions captured the impact of different types of information on parents’ ability to make a decision, and 10 discrete choice experiment questions identified preferences for four process attributes (including parents’ ability to make a decision). Results: Midwives employed by the UK National Health Service (n = 134) completed the survey. All types of information content were perceived to improve parents’ ability to make a decision except for the possibility of false-positive results. Late pregnancy was seen to be the best time to provide information, followed by day 3 postbirth. Information before 20 weeks of pregnancy was viewed as reducing parents’ ability to make a decision. Midwives preferred information to be provided by an individual discussion and did not think parents should receive information on the Internet. Conclusion: A hybrid stated preference survey design identified that a wide variety of information should be provided to maximize parents’ ability to make a decision ideally provided late in pregnancy or on day 3 postbirth.

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