Usability of Statewide Web-Based Roadway Weather Information System

Fayish, Aaron C.; Jovanis, Paul P.

doi:10.3141/1899-06

Cited by 9 publications

(8 citation statements)

References 1 publication

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“…6. The more unreliable the information, the less it is acquired and when it is acquired, the less will be its positive impact on travel choice quality.The importance of (perceived) information reliability as a determinant of information use is well grounded in empirical literature (Polydoropulou and Ben-Akiva, 1998;Hato et al, 1999;Fayish and Jovanis 2004). The second part of the hypothesis is based on the notion, found in theoretical studies of travel information effect (e.g.…”

Section: Hypotheses On Travel Choice Quality and The Role Of Travel Imentioning

confidence: 96%

Information impact on quality of multimodal travel choices: conceptualizations and empirical analyses

2007

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This paper investigates the impact of a variety of travel information types on the quality of travel choices. Choice quality is measured by comparing observed choices made under conditions of incomplete knowledge with predicted choice probabilities under complete knowledge. Furthermore, the potential impact of travel information is considered along multiple attribute-dimensions of alternatives, rather than in terms of travel time reductions only. Data is obtained from a choice experiment in a multimodal travel simulator in combination with a web-based mode-choice experiment. A Structural Equation Model is estimated to test a series of hypothesized direct and indirect relations between a traveler's knowledge levels, information acquisition behavior and the resulting travelchoice quality. The estimation results support the hypothesized relations, which provides evidence of validity and applicability of the developed measure of travel-choice quality. Furthermore, found relations in general provide some careful support for the often expected impact of information on the quality of travel choices. The effects are largest for information services that generate previously unknown alternatives, and lowest for services that provide warnings in case of high travel times only.

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Section: Hypotheses On Travel Choice Quality and The Role Of Travel Imentioning

confidence: 96%

Information impact on quality of multimodal travel choices: conceptualizations and empirical analyses

2007

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“…In 2006, 56 percent of households in Dublin had access to the internet (CSO 2009). Webbased surveys have been increasingly adapted for transport studies, for example, in stated preference, travel diaries, and travel behavioural studies (Fayish and Jovanis 2004;Stinson and Bhat 2004;DeSalle and Tarko 2003;Marca 2003).…”

Section: Survey Design and Distributionmentioning

confidence: 99%

Examining the Factors that Impact Public Transport Commuting Satisfaction

Cantwell¹,

Caulfield²,

O’Mahony³

2009

JPT

185

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“…The evaluation showed that Optimod'Lyon did not yet meet all the technical preconditions demanded by travelers for inducing a change in mobility behavior. Fayish and Jovanis had already observed that user-friendly systems providing accurate information and pleasant graphical design would encourage the use of ATIS (30).…”

Section: Discussionmentioning

confidence: 99%

Can Multimodal Real-Time Information Systems Induce a More Sustainable Mobility?

Pronello

Veiga-Simão

Rappazzo

2016

Transportation Research Record: Journal of the Transportation R

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Interest in advanced traveler information systems (ATIS) is increasing in modern cities, and more attention is given to real-time multimodal information. Through those systems, decision makers hope to achieve a shift from the car to alternative, environmentally friendly modes of travel. Few comprehensive assessments have been undertaken to verify the actual contribution of ATIS to such modal shift. In this paper, the effects on travel behavior of Optimod’Lyon, a multimodal real-time information navigator for the smartphone developed in Lyon, France, in 2013 and launched in May 2015, are assessed. To this end, a mixed method was adopted. A questionnaire was administered and focus groups were organized before and after the test of the application. A stratified sample of 50 people living in the metropolitan area of Lyon was also involved. The theory of planned behavior was used as the framework for the questionnaire design, which investigated attitudes, subjective norms, and perceived behavioral control. To evaluate behavioral change, data were analyzed through the use of parametric and nonparametric tests, factor analysis, and binary logistic regression. Survey participants were initially interested in Optimod’Lyon and showed a positive attitude toward its use. Before the test, they evaluated the travel planner positively but this lessened over time. After the test, use of the various travel modes remained stable. Consistency with regard to the most used mode and to behavioral patterns and attitudes was shown, strongly related to habits and to the frequency of past behavior.

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Usability of Statewide Web-Based Roadway Weather Information System

Cited by 9 publications

References 1 publication

Information impact on quality of multimodal travel choices: conceptualizations and empirical analyses

Information impact on quality of multimodal travel choices: conceptualizations and empirical analyses

Examining the Factors that Impact Public Transport Commuting Satisfaction

Can Multimodal Real-Time Information Systems Induce a More Sustainable Mobility?

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