Effectiveness of Different Approaches to Disseminating Traveler Information on Travel Time Reliability (2013) / Chapter Skim
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Pages 85-104
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85 C h a p t e r 9 Utility is a measure of absolute or relative satisfaction. Conversely, disutility is a measure of dissatisfaction.
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86 experiment was also designed to work within the implementation framework of the existing SHRP 2 L14 computer survey task. The experiment was developed by Noblis and deployed by TTI in concert with the planned computer surveys.
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87 were given information (static value of travel time) for multiple routes.
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88 information framed the characteristics of participants and can be compared against the population at large or with other future experimental groups. The travel purpose, schedule integrity, and roadway usage questions together identified the types of trips for which on-time arrival was most important to participants, the frequency with which those trips were made, and whether the trips for which on-time arrival was most critical were made on roadways where traveler information is usually available.
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89 Pre- and Post-Experiment Surveys The pre-experiment and post-experiment surveys developed a baseline of participant characteristics that were useful in comparing participant characteristics with the population at large. Key data acquired through the surveys included gender, age, educational level, and traveler information usage.
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90 for a participant with L3 traveler information, after the participant had clicked on the "traffic primary route" button. A qualitative DMS message was visible at the start of the trip (H in Figure 9.2)
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91 Table 9.3. Description of Simulated Commutes Simulation Day Description of Day Ideal Departure Timea Alternate Route Far Betterb Week 1, Day 1 Non-event traffic day 8:15 a.m.
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92 Participants often used multiple media for acquiring traffic information. Among the 80 participants, nearly 60% used radio, while television, computer, and handheld or dashboard devices were used by 43%, 28%, and 23%, respectively.
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93 highways. Only 9% and 17% of participants who made childcare and other routine trips, respectively, did so primarily through highway travel.
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94 Figure 9.3. Types of roads participants use for specific trip types.
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95 Figure 9.7. Various definitions of late arrival, by trip type.
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96 Figure 9.8 presents a chart summarizing participants' willingness to pay for a guaranteed travel time to their destination. More than 80% of participants were willing to pay something to eliminate the variability in travel to work, but only 42% of participants who made other routine trips were willing to pay money to reduce variability on those trips.
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97 and 30%, respectively)
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98 participants with reliability information departed at 8:15 a.m. on non-event days, while 30% and 45% of participants receiving L1 and L2 information, respectively, departed at 8:15 a.m.
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99 Table 9.8. Aggregate Departure Decisions for Groups with Different Traveler Information Departure Time Non-Event Days Event Days L1 (DMS)
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100 for the first commute day and event day 6. On most event days, L3 participants found travel more stressful at Waypoint 1 compared with the first commute day.
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101 travelers to adjust their schedule to accommodate a late arrival. In the simulation experiment, participants were allowed an opportunity to simulate a call to work to inform their employer that they would be arriving late (and avoid the $25 late-arrival penalty)
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102 by week and by event and non-event days. As expected, total per-participant trip costs on event days were far greater than costs on non-event days, and the differences were statistically significant.
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103 The first hypothesis stated that provision of accurate reliability information would result in improved on-time performance and lower generalized travel disutility compared with a control group receiving no reliability information. Findings from the study supported this hypothesis.
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104 a positive overall usefulness of traveler information at the end of the experiment than at the beginning. In contrast, in the group with reliability information, the swing toward the positive proved more muted.
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