Accommodating exogenous variable and decision rule heterogeneity in discrete choice models: Application to bicyclist route choice

Autor: Sabreena Anowar, Bibhas Kumar Dey, Marianne Hatzopoulou, Naveen Eluru
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Male
Computer science
Economics
Social Sciences
Transportation
010501 environmental sciences
Surveys
01 natural sciences
Choice Behavior
Cognition
Econometrics
Psychology
education.field_of_study
Multidisciplinary
Geography
05 social sciences
Transportation Infrastructure
Pollution
Variable (computer science)
Research Design
Engineering and Technology
Medicine
Female
Algorithms
Research Article
Mixed model
Adult
Employment
Adolescent
Science
Population
Decision Making
Human Geography
Research and Analysis Methods
Civil Engineering
Young Adult
Air Pollution
0502 economics and business
Humans
education
0105 earth and related environmental sciences
Probability
050210 logistics & transportation
Discrete choice
Survey Research
Ecology and Environmental Sciences
Probabilistic logic
Cognitive Psychology
Biology and Life Sciences
Regret
Decision rule
Bicycling
Roads
Socioeconomic Factors
Labor Economics
Earth Sciences
Human Mobility
Cognitive Science
Neuroscience
Zdroj: PLoS ONE, Vol 13, Iss 11, p e0208309 (2018)
PLoS ONE
ISSN: 1932-6203
Popis: The proposed research contributes to our understanding of incorporating heterogeneity in discrete choice models with respect to exogenous variables and decision rules. Specifically, the proposed latent segmentation based mixed models segment population to different classes with their own decision rules while also incorporating unobserved heterogeneity within the segment level models. In our analysis, we choose to consider both random utility and random regret theories. Further, instead of assuming the number of segments (as 2), we conduct an exhaustive exploration with multiple segments across the two decision rules. The model estimation is conducted using a stated preference data from 695 commuter cyclists compiled through a web-based survey. The probabilistic allocation of respondents to different segments indicates that female commuter cyclists are more utility oriented; however, the majority of the commuter cyclist’s choice pattern is consistent with regret minimization mechanism. Overall, cyclists’ route choice decisions are influenced by roadway attributes, cycling infrastructure availability, pollution exposure, and travel time. The analysis approach also allows us to investigate time based trade-offs across cyclists belonging to different classes. Interestingly, we observe that the trade-off values in regret and utility based segments for roadway attributes are similar in magnitude; but the values differ greatly for cycling infrastructure and pollution exposure attributes, particularly for maximum exposure levels.
Databáze: OpenAIRE
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