Uncovering the influence of commuters’ perception on the reliability ratio

Carrión, Carlos; Levinson, David

doi:10.32866/8330

Cited by 2 publications

(5 citation statements)

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“…Transportation researchers may have control over the environment similar to psychological researchers through computer-based simulations and/or fixed-base vehicle simulators [1,2,6]. On the other hand, transportation researchers may collect data from field observations through questionnaires, cameras, GPS devices, and others [4,5,37,38]. It should be noted that there is an obvious trade-off between the analyst's control over the environment and the realism of the environment to the subjects.…”

Section: Literature Reviewmentioning

confidence: 99%

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Over- and Under-Estimation of Travel Time on Commute Trips: GPS vs. Self-Reporting

Carrión

Levinson

2019

Urban Science

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The underlying structure of road networks (e.g., circuity, relative discontinuity) contributes to the travel time perception of travelers. This study considers additional factors (e.g., arrival flexibility, access to traffic information) and tests nonlinearities linking perception of travel time. These factors are linked to four categories according to time perception research in psychology: temporal relevance, temporal uncertainty, and temporal expectancies; task complexity, absorption, and attentional deployment; and affective elements. This study estimates the relationship on data collected from commuters recruited from a previous GPS-based study in the Minneapolis-St. Paul region consisting of trips from home to work and back. For these work trips, the subjects' self-reported travel times and the subjects' travel times measured by GPS devices were collected. The results indicate that nonlinearities are present for road network attributes. Furthermore, the additional factors (e.g., arrival flexibility, access to traffic information) influence the travel time perception of travelers.

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Section: Literature Reviewmentioning

confidence: 99%

“…The reported travel time distributions were compared to the camera travel time distributions. Travel times for the same commute trips as reported by subjects from questionnaires and travel times as measured from GPS devices have been compared [38] . Both studies found that perception error was relevant.…”

Section: Literature Reviewmentioning

confidence: 99%

Over- and Under-Estimation of Travel Time on Commute Trips: GPS vs. Self-Reporting

Carrión

Levinson

2019

Urban Science

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“…An interesting question that has received more attention recently is to what extent chosen routes deviate from the shortest time route, or how far is traffic from user equilibrium (Zhu and Levinson, 2012). Recent research confirms the hypothesis that models with self-reported travel times statistically fit the route choice data better in comparison to the models with measured travel times (Carrion and Levinson, 2013b). Perhaps the most challenging is to determine if time and non-time related attributes are consciously considered by the decision maker and therefore explicitly contribute to the utility, or if they influence route choice indirectly because they alter the travel time perception of the driver.…”

Section: Shortest Path Choicementioning

confidence: 85%

“…Abdel-Aty et al, 1997). Interestingly, in a recent study it was found that drivers value travel time variability more than travel time savings when analysing perceived travel times, while in contrast they value travel time savings more than travel time variability when actual travel times are analysed (Carrion and Levinson, 2013b). This finding highlights the relevance of considering measurements of perceived travel times in choice models.…”

Section: Choice Attributesmentioning

confidence: 95%

“…Recently, interest in the study of travel time perception has increased. One study concluded that drivers attach higher value to travel time variability when examining perceived travel time measurements, whereas they attach higher value to expected travel time when only real measurements of travel times are analysed (Carrion and Levinson, 2013b). Another study highlights that the travel time perception error of travellers has been largely ignored and concludes that drivers use thresholds to determine whether a travel time is within an acceptable margin or not, while simultaneously considering the frequency of travel times (they are able to recall) within these acceptable margins (Carrion and Levinson, 2013a).…”

Section: Introductionmentioning

confidence: 99%

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The dynamics of user perception, decision making and route choice

Vreeswijk¹

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I am proud and very pleased to be able to present this thesis which concludes a period of six wonderful years. It was autumn 2008 when I realized that I needed a new challenge to complement my work at Imtech Traffic & Infra (Peek Traffic at that time). A full-time PhD position had never appealed to me, but I had heard about the possibility of a part-time position, which seemed ideal. Within months I had found the necessary contributions from the Centre for Transport Studies at the University of Twente and Imtech Traffic & Infra to make this thesis possible. Early 2009 I could start. In the first few years I was a PhD student in need of a research topic, one that matched the interest of Imtech Traffic & Infra, the Centre for Transport Studies and of course myself. I found it extremely difficult to converge until I attended a workshop on Travel Behaviour, Modelling and Optimization (as part of IEEE ITSC). It was here when I first met Prof. Hesham Rakha and Prof. Erel Avineri. Their presentations inspired me to explore the relation between user perception and choice behaviour, and ways to exploit perception bias and behavioural imperfections in favour of societal objectives. Advantageously, the search had helped me to learn about my strengths and weaknesses as a scientist and it had become clear to me that I had to focus on empirical research and conceptual and theoretical design. Fairly soon I had drafted various plans for data collection, ranging from internet surveys to face-to-face interviews to driving simulators. This was perhaps the period that I enjoyed most because it involved a lot of interaction with respondents, co-workers and students. Once the results became available and I presented them in papers and at conferences I entered a new phase of my research. The feedback I received made me realize that it required several more iterations to reach the necessary level of convergence, precision and definition. I am thankful for the mix of enthusiastic, constructive, critical feedback that I received as it helped me tremendously to shape my thoughts, progress and eventually highlight my contributions to the state-of-the-art.The combination of working as a researcher for Imtech Traffic & Infra and as a PhD at the University of Twente, in my experience, proved to be very successful. Both worlds can learn a lot from one another and I found it exciting to operate right in the middle, where theory and practice meet. Further, as an employee of Imtech Traffic & Infa I had access to people, data and tools which are normally not so easily available to a PhD student. Conversely, on multiple occasions, company projects could benefit from the knowledge which my research had generated. Although two part-time positions may seem very inefficient at first, I experienced that the forced breaks from research allowed my research findings to settle and reflect on decisions and obstacles before continuing. As a result, I scarcely felt that I lost time. Although all of this sounds great, it was not a walk in the park either. Two pa...

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Uncovering the influence of commuters’ perception on the reliability ratio

Cited by 2 publications

References 15 publications

Over- and Under-Estimation of Travel Time on Commute Trips: GPS vs. Self-Reporting

Over- and Under-Estimation of Travel Time on Commute Trips: GPS vs. Self-Reporting

The dynamics of user perception, decision making and route choice

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