Variable message signs and radio traffic information: An integrated empirical analysis of drivers' route choice behaviour

Emmerink, Richard H. M.; Nijkamp, Peter; Rietveld, Piet; Ommeren, Jos van

doi:10.1016/0965-8564(95)00016-x

Cited by 117 publications

(104 citation statements)

References 9 publications

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“…29 In the Netherlands, around 20% of road users choose to detour if they have been informed on a delay of one hour (Peer, 2013). The results by Emmerink et al (1996) suggest a similar percentage. Assuming this percentage to be true, we may underestimate the total welfare loss (i.e.…”

Section: Estimation Resultssupporting

confidence: 73%

Road congestion and incident duration

Adler

Ommeren

Rietveld

2013

Economics of Transportation

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Section: Estimation Resultssupporting

confidence: 73%

Road congestion and incident duration

Adler

Ommeren

Rietveld

2013

Economics of Transportation

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“…For business trips, travelers acquire more information and, controlled for the acquired information, make travel choices of relatively high qualityThe first part of this hypothesis is well established in empirical literature on travel information acquisition for arrival time sensitive trips (e.g. Emmerink et al, 1996;Polydoropulou and BenAkiva, 1998;Hato et al 1999;Srinivisan et al 1999), and makes sense intuitively. The second part is based on the notion that when the stakes are high (in this case: the penalty of late arrival is high), individuals may put more effort in their decision making process which in turn may help them make better choices (e.g.…”

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

confidence: 94%

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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“…Bonsall et al 1997) have revealed that drivers making unfamiliar journeys generally seek to make maximum use of routes with which they are already familiar. Other work has suggested that female drivers are less willing than males to depart from familiar or signposted routes (Bonsall, 1992;Khattak et al, 1993;Emmerink et al, 1996) and that drivers' reluctance to depart from familiar routes is greatest when they are under time pressure (Bonsall et al, 2000).…”

Section: Advance Planning In Order To Reduce Uncertaintymentioning

confidence: 99%

Traveller Behavior: Decision-Making in an Unpredictable World

Bonsall

2004

Journal of Intelligent Transportation Systems

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This paper discusses the nature and consequences of uncertainty in transport systems. Drawing on work from a number of fields, it addresses travellers' abilities to predict variable phenomena, their perception of uncertainty, their attitude to risk and the various strategies they might adopt in response to uncertainty. It is argued that despite the increased interest in the representation of uncertainty in transport systems, most models treat uncertainty as a purely statistical issue and ignore the psychological aspects of response to uncertainty. The principle theories and models currently used to predict travellers' response to uncertainty are presented and number of alternative modelling approaches are outlined. It is argued that the current generation of predictive models do not provide an adequate basis for forecasting response to changes in the degree of uncertainty or for predicting the likely effect of providing additional information. A number of alternative modelling approaches are identified to deal with travellers' acquisition of information, the definition of their choice set and their choice between the available options. The use of heuristic approaches is recommended as an alternative to more conventional probabilistic methods. 1.

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Variable message signs and radio traffic information: An integrated empirical analysis of drivers' route choice behaviour

Cited by 117 publications

References 9 publications

Road congestion and incident duration

Road congestion and incident duration

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

Traveller Behavior: Decision-Making in an Unpredictable World

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