Rights statement: This is the author’s version of a work that was accepted for publication in Operations Research for Health Care. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Operations Research for Health Care, 19, 2018 DOI: 10.1016/j.orhc.2018.04.001
Accepted author manuscript, 2.34 MB, PDF document
Available under license: CC BY-NC-ND: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Supporting healthy route choice for commuter cyclists
T2 - The trade-off between travel time and pollutant dose
AU - Wang, Judith Y. T.
AU - Dirks, Kim N.
AU - Ehrgott, Matthias
AU - Pearce, Jon
AU - Cheung, Alan K. L.
N1 - This is the author’s version of a work that was accepted for publication in Operations Research for Health Care. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Operations Research for Health Care, 19, 2018 DOI: 10.1016/j.orhc.2018.04.001
PY - 2018/12
Y1 - 2018/12
N2 - Cyclists form the most vulnerable road user group in terms of injury from traffic accidents, as well as exposure to traffic-related air pollution. Ironically, commuter cyclists are often motivated by improvement in health and fitness. Cycleways away from traffic with lower concentrations of pollutants frommotorised vehicles sometimes result in longer distances and hence require longer travel times, while alternative routes sharing the road with other traffic, sometimes with buses, might result in exposure to higher pollutant concentrations. To help commuter cyclists achieve their objectives of getting towork in the shortest possible time and maximising their health benefits, we propose a bi-objective route choice model, with the minimisation of travel time and pollutant dose as the two objectives. A transport network information database is first constructed with comprehensive information on linktype, lane width, gradient, link average speed, traffic volume, etc. such that both the travel time and the pollutant dose can be estimated at a reasonable level of accuracy. In particular, the pollutant dose will be dependent on the exercise level as well as the concentration of pollutants. Given an origin and a destination, to be provided by a cyclist, we apply a bi-objective shortest-path algorithm to determine an efficient set of routes such that neither the total travel time nor the total pollutant dose can be reduced without worsening the other. Profiles of this route choice set in terms of other useful information, such as elevation, and pollutant concentrations along the route can also be provided. With our model, cyclists can more easily trade off between commute time and pollutant dose. In cities with hilly terrain, such as in Auckland, New Zealand, such information can be expected to be extremely valuable for current and potential cyclists.
AB - Cyclists form the most vulnerable road user group in terms of injury from traffic accidents, as well as exposure to traffic-related air pollution. Ironically, commuter cyclists are often motivated by improvement in health and fitness. Cycleways away from traffic with lower concentrations of pollutants frommotorised vehicles sometimes result in longer distances and hence require longer travel times, while alternative routes sharing the road with other traffic, sometimes with buses, might result in exposure to higher pollutant concentrations. To help commuter cyclists achieve their objectives of getting towork in the shortest possible time and maximising their health benefits, we propose a bi-objective route choice model, with the minimisation of travel time and pollutant dose as the two objectives. A transport network information database is first constructed with comprehensive information on linktype, lane width, gradient, link average speed, traffic volume, etc. such that both the travel time and the pollutant dose can be estimated at a reasonable level of accuracy. In particular, the pollutant dose will be dependent on the exercise level as well as the concentration of pollutants. Given an origin and a destination, to be provided by a cyclist, we apply a bi-objective shortest-path algorithm to determine an efficient set of routes such that neither the total travel time nor the total pollutant dose can be reduced without worsening the other. Profiles of this route choice set in terms of other useful information, such as elevation, and pollutant concentrations along the route can also be provided. With our model, cyclists can more easily trade off between commute time and pollutant dose. In cities with hilly terrain, such as in Auckland, New Zealand, such information can be expected to be extremely valuable for current and potential cyclists.
KW - Commuter cycling
KW - optimisation
KW - air pollution exposure
KW - route choice
KW - bi-objective shortest path
U2 - 10.1016/j.orhc.2018.04.001
DO - 10.1016/j.orhc.2018.04.001
M3 - Journal article
VL - 19
SP - 156
EP - 164
JO - Operations Research for Health Care
JF - Operations Research for Health Care
SN - 2211-6923
ER -