The potential of social routing advice

Mariska Alice van Essen

Research output: ThesisPhD Thesis - Research UT, graduation UTAcademic

Abstract

Travel information is expected by many scholars and practitioners alike to be successful in reducing traffic congestion and thereby improving road network efficiency. Yet, traditional (personalized) travel information aims at generating benefits to individual travellers, stimulating their personal optimization of their own route choices; it is well-known that this may lead to an inefficient user equilibrium. Examples on network efficiency have shown that in order to achieve system optimal network conditions, at least some travellers need to act non-selfish and take a detour to the benefit of others (i.e. the network as a whole). An important question in this regard is how to motivate those travellers to take this detour. This thesis deals with the problem of improving road network efficiency by stimulating social choice behaviour using social routing advice. Stated choice and revealed choice experiments provide insights into individual compliance behaviour, while network simulation indicates the resulting network impacts.
Results show that travellers are sometimes willing to choose the social detour over their usual route. Travellers are willing to choose the social route when travel time sacrifices are not too large, when information messages are aiming at alleviating congestion as opposed to safety or environmental concerns, and when these messages are framed according to certain strategies that nudge travellers towards the social route, that reinforce social norms towards taking the social route or that educate travellers on the importance of taking the social route. Moreover, travellers are most likely to comply with the received advice when they are cooperatively oriented and when they make their choices in a non-habitual manner. As a result, network efficiency improves; structural congestion and unstable flows reduce, especially on major city roads. However, individual benefits will be marginal; the majority of travellers experience a travel time gain of less than two minutes. Finally, I show that the lower the compliance among travellers, the more social travellers need to compensate for the selfish behaviour of others by taking longer detours.
LanguageEnglish
Awarding Institution
  • University of Twente
Supervisors/Advisors
  • van Berkum, Eric C., Supervisor
  • Chorus, C.G., Supervisor
  • Thomas, Tom , Co-Supervisor
Award date5 Oct 2018
Place of PublicationEnschede
Publisher
Print ISBNs978-90-5584-237-7
DOIs
Publication statusPublished - 5 Oct 2018

Fingerprint

Routing
Travellers
Road network
Travel time
Congestion
Social norms
Stated choice
Safety
Social choice
Traffic congestion
Route choice
Choice experiment
Choice behavior
Simulation
Environmental concern
Roads

Cite this

van Essen, M. A. (2018). The potential of social routing advice. Enschede: University of Twente. https://doi.org/10.3990/1.9789055842377
van Essen, Mariska Alice. / The potential of social routing advice. Enschede : University of Twente, 2018. 164 p.
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abstract = "Travel information is expected by many scholars and practitioners alike to be successful in reducing traffic congestion and thereby improving road network efficiency. Yet, traditional (personalized) travel information aims at generating benefits to individual travellers, stimulating their personal optimization of their own route choices; it is well-known that this may lead to an inefficient user equilibrium. Examples on network efficiency have shown that in order to achieve system optimal network conditions, at least some travellers need to act non-selfish and take a detour to the benefit of others (i.e. the network as a whole). An important question in this regard is how to motivate those travellers to take this detour. This thesis deals with the problem of improving road network efficiency by stimulating social choice behaviour using social routing advice. Stated choice and revealed choice experiments provide insights into individual compliance behaviour, while network simulation indicates the resulting network impacts.Results show that travellers are sometimes willing to choose the social detour over their usual route. Travellers are willing to choose the social route when travel time sacrifices are not too large, when information messages are aiming at alleviating congestion as opposed to safety or environmental concerns, and when these messages are framed according to certain strategies that nudge travellers towards the social route, that reinforce social norms towards taking the social route or that educate travellers on the importance of taking the social route. Moreover, travellers are most likely to comply with the received advice when they are cooperatively oriented and when they make their choices in a non-habitual manner. As a result, network efficiency improves; structural congestion and unstable flows reduce, especially on major city roads. However, individual benefits will be marginal; the majority of travellers experience a travel time gain of less than two minutes. Finally, I show that the lower the compliance among travellers, the more social travellers need to compensate for the selfish behaviour of others by taking longer detours.",
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van Essen, MA 2018, 'The potential of social routing advice', University of Twente, Enschede. https://doi.org/10.3990/1.9789055842377

The potential of social routing advice. / van Essen, Mariska Alice.

Enschede : University of Twente, 2018. 164 p.

Research output: ThesisPhD Thesis - Research UT, graduation UTAcademic

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T1 - The potential of social routing advice

AU - van Essen, Mariska Alice

PY - 2018/10/5

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N2 - Travel information is expected by many scholars and practitioners alike to be successful in reducing traffic congestion and thereby improving road network efficiency. Yet, traditional (personalized) travel information aims at generating benefits to individual travellers, stimulating their personal optimization of their own route choices; it is well-known that this may lead to an inefficient user equilibrium. Examples on network efficiency have shown that in order to achieve system optimal network conditions, at least some travellers need to act non-selfish and take a detour to the benefit of others (i.e. the network as a whole). An important question in this regard is how to motivate those travellers to take this detour. This thesis deals with the problem of improving road network efficiency by stimulating social choice behaviour using social routing advice. Stated choice and revealed choice experiments provide insights into individual compliance behaviour, while network simulation indicates the resulting network impacts.Results show that travellers are sometimes willing to choose the social detour over their usual route. Travellers are willing to choose the social route when travel time sacrifices are not too large, when information messages are aiming at alleviating congestion as opposed to safety or environmental concerns, and when these messages are framed according to certain strategies that nudge travellers towards the social route, that reinforce social norms towards taking the social route or that educate travellers on the importance of taking the social route. Moreover, travellers are most likely to comply with the received advice when they are cooperatively oriented and when they make their choices in a non-habitual manner. As a result, network efficiency improves; structural congestion and unstable flows reduce, especially on major city roads. However, individual benefits will be marginal; the majority of travellers experience a travel time gain of less than two minutes. Finally, I show that the lower the compliance among travellers, the more social travellers need to compensate for the selfish behaviour of others by taking longer detours.

AB - Travel information is expected by many scholars and practitioners alike to be successful in reducing traffic congestion and thereby improving road network efficiency. Yet, traditional (personalized) travel information aims at generating benefits to individual travellers, stimulating their personal optimization of their own route choices; it is well-known that this may lead to an inefficient user equilibrium. Examples on network efficiency have shown that in order to achieve system optimal network conditions, at least some travellers need to act non-selfish and take a detour to the benefit of others (i.e. the network as a whole). An important question in this regard is how to motivate those travellers to take this detour. This thesis deals with the problem of improving road network efficiency by stimulating social choice behaviour using social routing advice. Stated choice and revealed choice experiments provide insights into individual compliance behaviour, while network simulation indicates the resulting network impacts.Results show that travellers are sometimes willing to choose the social detour over their usual route. Travellers are willing to choose the social route when travel time sacrifices are not too large, when information messages are aiming at alleviating congestion as opposed to safety or environmental concerns, and when these messages are framed according to certain strategies that nudge travellers towards the social route, that reinforce social norms towards taking the social route or that educate travellers on the importance of taking the social route. Moreover, travellers are most likely to comply with the received advice when they are cooperatively oriented and when they make their choices in a non-habitual manner. As a result, network efficiency improves; structural congestion and unstable flows reduce, especially on major city roads. However, individual benefits will be marginal; the majority of travellers experience a travel time gain of less than two minutes. Finally, I show that the lower the compliance among travellers, the more social travellers need to compensate for the selfish behaviour of others by taking longer detours.

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van Essen MA. The potential of social routing advice. Enschede: University of Twente, 2018. 164 p. (TRAIL thesis series; T2018/7). (DSI Ph.D. thesis series; 18-008). https://doi.org/10.3990/1.9789055842377