Evaluating the influence of information provision (when and how) on route choice preferences of road users in Greater Orlando: Application of a regret minimization approach

Iraganaboina, Naveen Chandra; Bhowmik, Tanmoy; Yasmin, Shamsunnahar; Eluru, Naveen; Abdel-Aty, Mohamed

doi:10.1016/j.trc.2020.102923

Cited by 24 publications

(15 citation statements)

References 44 publications

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“…Meanwhile, it means that there is unobserved homogeneity among respondents, so they are classified into the same class. Additionally, across the RUM-MNL and RRM-MNL model, the RUM model outperforms the RRM model for our data, which is different from the result of the research by Iraganaboina [28]. Thus, the following analysis is based on the results from panel LCL model.…”

Section: Model Resultscontrasting

confidence: 83%

“…The research of Iraganaboina et al compared the performance of the RUM-based multinomial logit (RUM-MNL) model with that of the RRM-based MNL (RRM-MNL) model. As far as the data obtained from the survey is concerned, the log-likelihood (LL) of the RRM model is better [28].…”

Section: Modellingmentioning

confidence: 99%

“…The focus of this survey is to design simulated scenarios to obtain the route choice of the respondents. Table 1 illustrates the factor attributes along with the various levels in the SP design, which is widely used in route choice analysis [6,28]. As shown in Table 1, the definitions and different levels of five route attributes are presented.…”

Section: Questionnaire Surveymentioning

confidence: 99%

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Influence of smartphone traffic application information on drivers’ route choice behaviours

et al. 2022

IET Intelligent Trans Sys

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The active traffic management system disseminates traffic information to drivers to guide their route choice, so as to alleviate traffic congestion. Most drivers are highly dependent on mobile navigation APP, and the display form of mobile navigation information is of great importance. In order to improve drivers’ compliance with guidance information, this research accommodates for information that disseminate time attribute (when to provide the traffic information) and display format attribute (voice navigation or not, flat map or three‐dimensional [3D] map) and also explores the interaction effects between individual and trip characteristics. A revealed preference (RP) and stated preference (SP) survey consisting of 831 respondents is conducted in Nanjing, China. Then three kinds of panel logit model are established to fit the survey data. According to the model results, it is found that drivers with aggressive style are more sensitive to travel time, and drivers who are familiar with the road network are more sensitive to the 3D map with voice navigation format. The results of parameter estimation are also used for the trade‐off analysis of various exogenous variables. The findings of this study provide useful insights for the development of mobile navigation APPs, personalized path recommendation and congestion pricing strategies.

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Section: Model Resultscontrasting

confidence: 83%

Section: Modellingmentioning

confidence: 99%

Section: Questionnaire Surveymentioning

confidence: 99%

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Influence of smartphone traffic application information on drivers’ route choice behaviours

et al. 2022

IET Intelligent Trans Sys

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“…Thus, what is the relationship between the car commuters' route choice habit strength and traffic information search behaviors? To answer this question, the first thing to realize is that there are many types of traffic information in reality, and different types of traffic information may have different effects [9,35,36]. For example, Parvaneh et al [37] suggested that the pre-trip and enroute traffic information has different impacts on drivers' decision-making.…”

Section: Theories and Methodsmentioning

confidence: 99%

“…On the other hand, the prospect theory [4], indifference band [5], and satisfying decision [6] are commonly used to represent the boundedly rational process, and these theories consider travelers' cognitive limitations, intrinsic preferences, and information processing capability. While, under the assumption of perfect rational or boundedly rational process, many studies assume that travelers' route choices are based on a relatively elaborate decision process, e.g., awareness, control, and efficiency [7][8][9][10]. However, does this relatively elaborate decision process always exist in travelers' daily route choices?…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Conflict between Car Commuter’s Route Choice Habitual Behavior and Traffic Information Search Behavior

2022

Sensors

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Motivated by the conflict between travelers’ habitual choice behavior and traffic information search behavior, in this paper, a behavioral experiment under different types of traffic information (i.e., per-trip traffic information and en-route traffic information) was designed to obtain data regarding car commuters’ daily route choices. Based on the observed data, participants’ route choices, habit strength, response time, and information search behaviors were analyzed. It is concluded that, in the beginning, the traffic information had a great influence on the habit participants’ route choices, let them think more, and made most of them switch from habit route to the best route (as recommended by traffic information); however, as time went on, the impact of traffic information declined, and several features of habits, such as automatically responding and repeated behavior, would reappear in some participants’ decision-making. Meanwhile, the different way of traffic information search behaviors (i.e., in active performance or in passive reception) could cause different information compliance ratios. These results would help to understand the interrelationship between car commuters’ daily route choice behaviors and traffic information search behaviors in short-term and in long-term, respectively, and provide an interesting starting point for the development of practical traffic information issuing strategies to enhance the impact of traffic information to alleviate traffic congestion during morning commuting.

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Public Choices and Welfare Estimate under Wetland Improvement Context: Utility Maximization, Regret Minimization or Both?

Long

Mao

et al. 2022

Wetlands

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Evaluating the influence of information provision (when and how) on route choice preferences of road users in Greater Orlando: Application of a regret minimization approach

Cited by 24 publications

References 44 publications

Influence of smartphone traffic application information on drivers’ route choice behaviours

Influence of smartphone traffic application information on drivers’ route choice behaviours

Analysis of the Conflict between Car Commuter’s Route Choice Habitual Behavior and Traffic Information Search Behavior

Public Choices and Welfare Estimate under Wetland Improvement Context: Utility Maximization, Regret Minimization or Both?

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