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A bi-objective cyclist route choice model

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A bi-objective cyclist route choice model. / Ehrgott, Matthias; Wang, Judith Y.t.; Raith, Andrea; Van Houtte, Chris.

In: Transportation Research Part A: Policy and Practice, Vol. 46, No. 4, 01.05.2012, p. 652-663.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Ehrgott, M, Wang, JYT, Raith, A & Van Houtte, C 2012, 'A bi-objective cyclist route choice model', Transportation Research Part A: Policy and Practice, vol. 46, no. 4, pp. 652-663. https://doi.org/10.1016/j.tra.2011.11.015

APA

Ehrgott, M., Wang, J. Y. T., Raith, A., & Van Houtte, C. (2012). A bi-objective cyclist route choice model. Transportation Research Part A: Policy and Practice, 46(4), 652-663. https://doi.org/10.1016/j.tra.2011.11.015

Vancouver

Ehrgott M, Wang JYT, Raith A, Van Houtte C. A bi-objective cyclist route choice model. Transportation Research Part A: Policy and Practice. 2012 May 1;46(4):652-663. https://doi.org/10.1016/j.tra.2011.11.015

Author

Ehrgott, Matthias ; Wang, Judith Y.t. ; Raith, Andrea ; Van Houtte, Chris. / A bi-objective cyclist route choice model. In: Transportation Research Part A: Policy and Practice. 2012 ; Vol. 46, No. 4. pp. 652-663.

Bibtex

@article{50983659c96640deaadf7ab5b6203d01,
title = "A bi-objective cyclist route choice model",
abstract = "It is widely acknowledged that cyclists choose their route differently to drivers of private vehicles. The route choice decision of commuter drivers is often modelled with one objective, to reduce their generalised travel cost, which is a monetary value representing the combined travel time and vehicle operating cost. Commuter cyclists, on the other hand, usually have multiple incommensurable objectives when choosing their route: the travel time and the suitability of a route. By suitability we mean non-subjective factors that characterise the suitability of a route for cycling, including safety, traffic volumes, traffic speeds, presence of bicycle lanes, whether the terrain is flat or hilly, etc. While these incommensurable objectives are difficult to be combined into a single objective, it is also important to take into account that each individual cyclist may prioritise differently between travel time and suitability when they choose a route.This paper proposes a novel model to determine the route choice set of commuter cyclists by formulating a bi-objective routing problem. The two objectives considered are travel time and suitability of a route for cycling. Rather than determining a single route for a cyclist, we determine a choice set of optimal alternative routes (efficient routes) from which a cyclist may select one according to their personal preference depending on their perception of travel time versus other route choice criteria considered in the suitability index. This method is then implemented in a case study in Auckland, New Zealand.The study provides a starting point for the trip assignment of cyclists, and with further research, the bi-objective routing model developed can be applied to create a complete travel demand forecast model for cycle trips. We also suggest the application of the developed methodology as an algorithm in an interactive route finder to suggest efficient route choices at different levels of suitability to cyclists and potential cyclists.",
keywords = "Cycling, Bi-objective routing , Route choice , Trip assignment , Efficient route",
author = "Matthias Ehrgott and Wang, {Judith Y.t.} and Andrea Raith and {Van Houtte}, Chris",
year = "2012",
month = may,
day = "1",
doi = "10.1016/j.tra.2011.11.015",
language = "English",
volume = "46",
pages = "652--663",
journal = "Transportation Research Part A: Policy and Practice",
issn = "0965-8564",
publisher = "Elsevier Limited",
number = "4",

}

RIS

TY - JOUR

T1 - A bi-objective cyclist route choice model

AU - Ehrgott, Matthias

AU - Wang, Judith Y.t.

AU - Raith, Andrea

AU - Van Houtte, Chris

PY - 2012/5/1

Y1 - 2012/5/1

N2 - It is widely acknowledged that cyclists choose their route differently to drivers of private vehicles. The route choice decision of commuter drivers is often modelled with one objective, to reduce their generalised travel cost, which is a monetary value representing the combined travel time and vehicle operating cost. Commuter cyclists, on the other hand, usually have multiple incommensurable objectives when choosing their route: the travel time and the suitability of a route. By suitability we mean non-subjective factors that characterise the suitability of a route for cycling, including safety, traffic volumes, traffic speeds, presence of bicycle lanes, whether the terrain is flat or hilly, etc. While these incommensurable objectives are difficult to be combined into a single objective, it is also important to take into account that each individual cyclist may prioritise differently between travel time and suitability when they choose a route.This paper proposes a novel model to determine the route choice set of commuter cyclists by formulating a bi-objective routing problem. The two objectives considered are travel time and suitability of a route for cycling. Rather than determining a single route for a cyclist, we determine a choice set of optimal alternative routes (efficient routes) from which a cyclist may select one according to their personal preference depending on their perception of travel time versus other route choice criteria considered in the suitability index. This method is then implemented in a case study in Auckland, New Zealand.The study provides a starting point for the trip assignment of cyclists, and with further research, the bi-objective routing model developed can be applied to create a complete travel demand forecast model for cycle trips. We also suggest the application of the developed methodology as an algorithm in an interactive route finder to suggest efficient route choices at different levels of suitability to cyclists and potential cyclists.

AB - It is widely acknowledged that cyclists choose their route differently to drivers of private vehicles. The route choice decision of commuter drivers is often modelled with one objective, to reduce their generalised travel cost, which is a monetary value representing the combined travel time and vehicle operating cost. Commuter cyclists, on the other hand, usually have multiple incommensurable objectives when choosing their route: the travel time and the suitability of a route. By suitability we mean non-subjective factors that characterise the suitability of a route for cycling, including safety, traffic volumes, traffic speeds, presence of bicycle lanes, whether the terrain is flat or hilly, etc. While these incommensurable objectives are difficult to be combined into a single objective, it is also important to take into account that each individual cyclist may prioritise differently between travel time and suitability when they choose a route.This paper proposes a novel model to determine the route choice set of commuter cyclists by formulating a bi-objective routing problem. The two objectives considered are travel time and suitability of a route for cycling. Rather than determining a single route for a cyclist, we determine a choice set of optimal alternative routes (efficient routes) from which a cyclist may select one according to their personal preference depending on their perception of travel time versus other route choice criteria considered in the suitability index. This method is then implemented in a case study in Auckland, New Zealand.The study provides a starting point for the trip assignment of cyclists, and with further research, the bi-objective routing model developed can be applied to create a complete travel demand forecast model for cycle trips. We also suggest the application of the developed methodology as an algorithm in an interactive route finder to suggest efficient route choices at different levels of suitability to cyclists and potential cyclists.

KW - Cycling

KW - Bi-objective routing

KW - Route choice

KW - Trip assignment

KW - Efficient route

U2 - 10.1016/j.tra.2011.11.015

DO - 10.1016/j.tra.2011.11.015

M3 - Journal article

VL - 46

SP - 652

EP - 663

JO - Transportation Research Part A: Policy and Practice

JF - Transportation Research Part A: Policy and Practice

SN - 0965-8564

IS - 4

ER -