Analysis of inertial choice behavior based expected and experienced savings from a real-world route choice experiment

Vreeswijk, Jaap; Rakha, Hesham; Berkum, Eric C. van; Arem, Bart van

doi:10.14257/ijt.2015.3.3.02

Cited by 5 publications

(7 citation statements)

References 30 publications

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“…The study assumes that a certain percentage of travelers follow the recommended route and others decide to divert based on their congestion perception. To estimate this percentage, many studies have been conducted on drivers' behavioral response to traveler information systems (Bhavsar et al, 2007;Horowitz et al, 2003;Kattan et al, 2013;Khattak et al, 1993;Khattak et al, 1996;Peeta and Jeong, 2006;Vreeswijk et al, 2015). The drivers' response is a function of various factors such as trip characteristics, the number of available alternate routes, delay information, and duration (Khattak et al, 1993).…”

Section: Experiments Results and Analysismentioning

confidence: 99%

“…In addition, a certain percentage of drivers (α) who are unfamiliar with the area and not using GPS device are assumed to divert to the recommended alternate route, whereas the aforementioned others are assumed to divert based on the UE assignment. Many studies that have been conducted on drivers’ behavioral response to the traveler information systems are used to estimate the percentage of drivers (α) who are diverting (Bhavsar et al., ; Horowitz et al., ; Kattan et al., ; Khattak et al., ; Khattak et al., ; Peeta and Jeong, ; Vreeswijk et al., ). Moreover, the number of travelers

{\overset{f}{true}}_{i j}

going from origin

i

, to destination j in the subnetwork

G

is estimated in Section 2.3.1.…”

Section: Methodsmentioning

confidence: 99%

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An optimization‐based traffic diversion model during construction closures

Memarian

Rosenberger

Mattingly

et al. 2019

Computer aided Civil Eng

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During major highway construction, when lanes or entire highway sections must be temporarily closed, traffic managers would like to inform motorists of alternative routes around the construction site well in advance of the project location. This study develops a traffic diversion model to propose an optimum alternate route to drivers during a construction activity. The models and algorithms developed in this study assess a potential diversion route to optimize network performance while considering the drivers’ behaviors in following the proposed alternate route during a closure. A bilevel optimization model is proposed to minimize the total travel time of the affected network considering the link closure and a proposed alternate route for the travelers. A travelers’ route choice decision is modeled based on the user equilibrium traffic assignment, whereas a certain percentage of drivers are assumed to divert to the recommended alternate route. A sufficiently large subnetwork is selected, and a path selection method is proposed to reduce the computational effort required to optimize the model. A set of simulation experiments is conducted using the Tarrant County network in north Texas. The results show the ability of the model to improve the overall network performance during hypothetical closure scenarios.

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Section: Experiments Results and Analysismentioning

confidence: 99%

{\overset{f}{true}}_{i j}

going from origin

i

, to destination j in the subnetwork

G

is estimated in Section 2.3.1.…”

Section: Methodsmentioning

confidence: 99%

An optimization‐based traffic diversion model during construction closures

Memarian

Rosenberger

Mattingly

et al. 2019

Computer aided Civil Eng

View full text Add to dashboard Cite

show abstract

“…One potential explanation for such behavior is that individuals tend to minimize their (cognitive) efforts at the cost of the accuracy of their choice outcome according to some sort of effort-accuracy trade-off framework (Johnson and Payne 1985). In line with this, several studies found that travelers choose a short travel time alternative, although not necessarily the shortest travel time alternative (e.g., Ciscal-Terry et al 2016;Vreeswijk et al 2015;Zhu and Levinson 2010). These findings indicate that individuals do not necessarily want to use the route alternatives that benefit them the most, are not able to correctly identify these or are not particularly interested in this.…”

Section: Literature Reviewmentioning

confidence: 96%

Travelers’ compliance with social routing advice: evidence from SP and RP experiments

et al. 2018

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This study examines to what extent travel information can be used to direct travelers to system-optimal routes that may be sub-optimal for them personally, but contribute to network efficiency. This is done by empirically examining determinants of travelers' compliance with social routing advice. To that end, we conducted both a stated choice experiment and a revealed choice experiment (which also collected stated intentions and motivations for revealed behavior). Results from the stated choice experiment indicate a significant difference in compliance behavior across different information frames, societal goals, sizes of travel time sacrifices and personality. These findings are less evident from results based on analysis of revealed choices; i.e., the main motivation for revealed compliance seems to be an intrinsic motivation to contribute to improved throughput, while the main motivation for non-compliance relates to perceived traffic conditions. Moreover, the size of the travel time sacrifice seems not that important as expected. Nonetheless, comparing stated intentions with real-world behavior suggests that a relation between intention and compliance frequency does exist.

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“…In line with this, several studies found that travellers choose a short travel time alternative, although not necessarily the shortest travel time alternative (e.g. Ciscal-Terry, Dell'Amico, Hadjidimitriou, & Lori, 2016;Vreeswijk, Rakha, Van Berkum, & Van Arem, 2015;Zhu & Levinson, 2010). These findings indicate that individuals do not necessarily want to use the route alternatives that benefit them the most, are not able to correctly identify these or are not particularly interested in this.…”

Section: Problem Statementmentioning

confidence: 85%

“…The concept of individual day-to-day route choice patterns was proposed by Tawfik et al (2010). They introduced four different choice patterns or so-called driver types, which were characterized by Vreeswijk et al (2015) as Stayers, Tryers, Explorers and Switchers. Our research explores if similar patterns can be identified in the context of real-world experiments and if certain patterns occurred more often in response to travel time information.…”

Section: Can Different Behavioural Patterns or Profiles Be Identifiedmentioning

confidence: 99%

The potential of social routing advice

Essen¹,

Alice²

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PROEFSCHRIFT ter verkrijging van de graad van doctor aan de Universiteit Twente, op gezag van de Rector Magnificus, prof. dr. T.T.M. Palstra, volgens besluit van het College voor Promoties, in het openbaar te verdedigen op vrijdag 5 oktober 2018 om 12:45 uur door Mariska Alice van Essen geboren op 30 augustus 1990 te Apeldoorn This dissertation is approved by: Prof. dr. ir. E.C. van Berkum [promotor] Prof. dr. ir. C.G.

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Analysis of inertial choice behavior based expected and experienced savings from a real-world route choice experiment

Abstract: In

Cited by 5 publications

References 30 publications

An optimization‐based traffic diversion model during construction closures

An optimization‐based traffic diversion model during construction closures

Travelers’ compliance with social routing advice: evidence from SP and RP experiments

The potential of social routing advice

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