Analysis of inertia thresholds based on real-world route choice data

Jacob Dirk Vreeswijk, Eric C. van Berkum, Bart van Arem

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

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Abstract

In the context of route choice, inertial behaviour shows that drivers make choices that are satisfactory rather than optimal. Consequently, drivers may not necessarily alter their choice when confronted with a travel time increase on the current choice or a travel time decrease of a choice alternative. As a consequence it can be assumed that driver only alter their choice when the utility difference between alternatives becomes larger than some individual-situation-specific threshold. Route choice data from a real-world driving experiment was used to study inertial behaviour and estimate inertia thresholds. The data analysis consisted of two parts. One addressing expected travel time savings relative to choice alternatives and another addressing experienced travel time savings on the current route. With regard to the former it was found that on average roughly one-fourth of the choices were inertial choices. Small travel time differences and dominant non-travel time route attributes had a positive effect on the frequency of inertial choices. Based on lost travel time, inertia thresholds up to 4.5 minutes or 30% of the average travel time were found, while thresholds up to 1.3 minutes or 13% were most common. Considerable differences between OD-pairs and routes indicated that thresholds are probabilistic and dependent on the choice set. Considering experienced savings, it was found that on average roughly half of the choices concerned inertial behaviour. Inertia thresholds up to 3.31 minutes or 37% of the average travel time were found, while thresholds up to 1.18 minutes or 11% were more common. Switching behaviour could not be explained by experienced savings as participants were much less responsive to experienced loss on the current route as opposed to expected loss relative to the choice alternative. Future research opportunities are: moving-average thresholds, inertia thresholds of different situations and driver behaviour types, asymmetry between gains and losses, impact of advanced traffic information systems, and estimation of a model that better matches the route choice data than a simple model that is based on travel time alone does.
Original languageEnglish
Title of host publicationProceedings of the TRAIL Congress, 13 November 2014, Delft
Place of PublicationDelft
PublisherTRAIL
Pages1-21
Publication statusPublished - 13 Nov 2014
EventTRAIL Congress 2014 - Delft, Netherlands
Duration: 13 Nov 201413 Nov 2014

Publication series

Name
PublisherTRAIL

Conference

ConferenceTRAIL Congress 2014
CountryNetherlands
CityDelft
Period13/11/1413/11/14

Fingerprint

Travel time
Route choice
Inertia
Savings
Moving average
Switching behavior
Information systems
Asymmetry
Experiment
Choice behavior
Expected loss
Choice sets

Keywords

  • METIS-305627
  • IR-101319

Cite this

Vreeswijk, J. D., van Berkum, E. C., & van Arem, B. (2014). Analysis of inertia thresholds based on real-world route choice data. In Proceedings of the TRAIL Congress, 13 November 2014, Delft (pp. 1-21). Delft: TRAIL.
Vreeswijk, Jacob Dirk ; van Berkum, Eric C. ; van Arem, Bart. / Analysis of inertia thresholds based on real-world route choice data. Proceedings of the TRAIL Congress, 13 November 2014, Delft. Delft : TRAIL, 2014. pp. 1-21
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title = "Analysis of inertia thresholds based on real-world route choice data",
abstract = "In the context of route choice, inertial behaviour shows that drivers make choices that are satisfactory rather than optimal. Consequently, drivers may not necessarily alter their choice when confronted with a travel time increase on the current choice or a travel time decrease of a choice alternative. As a consequence it can be assumed that driver only alter their choice when the utility difference between alternatives becomes larger than some individual-situation-specific threshold. Route choice data from a real-world driving experiment was used to study inertial behaviour and estimate inertia thresholds. The data analysis consisted of two parts. One addressing expected travel time savings relative to choice alternatives and another addressing experienced travel time savings on the current route. With regard to the former it was found that on average roughly one-fourth of the choices were inertial choices. Small travel time differences and dominant non-travel time route attributes had a positive effect on the frequency of inertial choices. Based on lost travel time, inertia thresholds up to 4.5 minutes or 30{\%} of the average travel time were found, while thresholds up to 1.3 minutes or 13{\%} were most common. Considerable differences between OD-pairs and routes indicated that thresholds are probabilistic and dependent on the choice set. Considering experienced savings, it was found that on average roughly half of the choices concerned inertial behaviour. Inertia thresholds up to 3.31 minutes or 37{\%} of the average travel time were found, while thresholds up to 1.18 minutes or 11{\%} were more common. Switching behaviour could not be explained by experienced savings as participants were much less responsive to experienced loss on the current route as opposed to expected loss relative to the choice alternative. Future research opportunities are: moving-average thresholds, inertia thresholds of different situations and driver behaviour types, asymmetry between gains and losses, impact of advanced traffic information systems, and estimation of a model that better matches the route choice data than a simple model that is based on travel time alone does.",
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Vreeswijk, JD, van Berkum, EC & van Arem, B 2014, Analysis of inertia thresholds based on real-world route choice data. in Proceedings of the TRAIL Congress, 13 November 2014, Delft. TRAIL, Delft, pp. 1-21, TRAIL Congress 2014, Delft, Netherlands, 13/11/14.

Analysis of inertia thresholds based on real-world route choice data. / Vreeswijk, Jacob Dirk; van Berkum, Eric C.; van Arem, Bart.

Proceedings of the TRAIL Congress, 13 November 2014, Delft. Delft : TRAIL, 2014. p. 1-21.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

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N2 - In the context of route choice, inertial behaviour shows that drivers make choices that are satisfactory rather than optimal. Consequently, drivers may not necessarily alter their choice when confronted with a travel time increase on the current choice or a travel time decrease of a choice alternative. As a consequence it can be assumed that driver only alter their choice when the utility difference between alternatives becomes larger than some individual-situation-specific threshold. Route choice data from a real-world driving experiment was used to study inertial behaviour and estimate inertia thresholds. The data analysis consisted of two parts. One addressing expected travel time savings relative to choice alternatives and another addressing experienced travel time savings on the current route. With regard to the former it was found that on average roughly one-fourth of the choices were inertial choices. Small travel time differences and dominant non-travel time route attributes had a positive effect on the frequency of inertial choices. Based on lost travel time, inertia thresholds up to 4.5 minutes or 30% of the average travel time were found, while thresholds up to 1.3 minutes or 13% were most common. Considerable differences between OD-pairs and routes indicated that thresholds are probabilistic and dependent on the choice set. Considering experienced savings, it was found that on average roughly half of the choices concerned inertial behaviour. Inertia thresholds up to 3.31 minutes or 37% of the average travel time were found, while thresholds up to 1.18 minutes or 11% were more common. Switching behaviour could not be explained by experienced savings as participants were much less responsive to experienced loss on the current route as opposed to expected loss relative to the choice alternative. Future research opportunities are: moving-average thresholds, inertia thresholds of different situations and driver behaviour types, asymmetry between gains and losses, impact of advanced traffic information systems, and estimation of a model that better matches the route choice data than a simple model that is based on travel time alone does.

AB - In the context of route choice, inertial behaviour shows that drivers make choices that are satisfactory rather than optimal. Consequently, drivers may not necessarily alter their choice when confronted with a travel time increase on the current choice or a travel time decrease of a choice alternative. As a consequence it can be assumed that driver only alter their choice when the utility difference between alternatives becomes larger than some individual-situation-specific threshold. Route choice data from a real-world driving experiment was used to study inertial behaviour and estimate inertia thresholds. The data analysis consisted of two parts. One addressing expected travel time savings relative to choice alternatives and another addressing experienced travel time savings on the current route. With regard to the former it was found that on average roughly one-fourth of the choices were inertial choices. Small travel time differences and dominant non-travel time route attributes had a positive effect on the frequency of inertial choices. Based on lost travel time, inertia thresholds up to 4.5 minutes or 30% of the average travel time were found, while thresholds up to 1.3 minutes or 13% were most common. Considerable differences between OD-pairs and routes indicated that thresholds are probabilistic and dependent on the choice set. Considering experienced savings, it was found that on average roughly half of the choices concerned inertial behaviour. Inertia thresholds up to 3.31 minutes or 37% of the average travel time were found, while thresholds up to 1.18 minutes or 11% were more common. Switching behaviour could not be explained by experienced savings as participants were much less responsive to experienced loss on the current route as opposed to expected loss relative to the choice alternative. Future research opportunities are: moving-average thresholds, inertia thresholds of different situations and driver behaviour types, asymmetry between gains and losses, impact of advanced traffic information systems, and estimation of a model that better matches the route choice data than a simple model that is based on travel time alone does.

KW - METIS-305627

KW - IR-101319

M3 - Conference contribution

SP - 1

EP - 21

BT - Proceedings of the TRAIL Congress, 13 November 2014, Delft

PB - TRAIL

CY - Delft

ER -

Vreeswijk JD, van Berkum EC, van Arem B. Analysis of inertia thresholds based on real-world route choice data. In Proceedings of the TRAIL Congress, 13 November 2014, Delft. Delft: TRAIL. 2014. p. 1-21