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Measuring the effect of highway design features on cyclist behavior using an instrumented bicycle

Measuring the effect of highway design features on cyclist behavior using an instrumented bicycle
Measuring the effect of highway design features on cyclist behavior using an instrumented bicycle

Cycling is a travel mode that offers great advantages in terms of space consumption, health and environmental sustainability, and this makes it particularly popular in cities. However, it is also plagued by a poor road safety record, which has yet to be properly addressed due to a prevailing lack of understanding of the behavioral traits of cyclists that would enable the design of suitable interventions. The aim of this study is to offer some insight into cyclist behavior by investigating its relation with the road environment, as expressed by real-world cyclist trajectories in urban areas. Using an instrumented bicycle, quantitative measurements in terms of speed, steering angle and roll angle in response to different highway features were taken from cyclists riding along a pre-determined route in the city of Southampton, UK. The data were analyzed using neural networks and multiple linear regression and the findings highlighted a number of significant positive and negative effects for policy-makers and stakeholders to consider in the design of cyclist facilities and road infrastructure in general, as well as in road user education.

Behavior, Cycling, Field data collection, Highway design, Instrumented bicycle
Kaparias, Ioannis
e7767c57-7ac8-48f2-a4c6-6e3cb546a0b7
Miah, Shahjahan
95bce1f7-e88a-4ead-ae61-2d35b1066351
Clegg, Samuel
163583b4-a457-4d16-a002-07085efa31da
Gao, Yutian
6840c68c-815b-4aa6-aeef-9fc2f801190e
Waterson, Ben
60a59616-54f7-4c31-920d-975583953286
Milonidis, E.N.
8f7ef890-17f5-43b5-8ba4-f446ea715e5c
Kaparias, Ioannis
e7767c57-7ac8-48f2-a4c6-6e3cb546a0b7
Miah, Shahjahan
95bce1f7-e88a-4ead-ae61-2d35b1066351
Clegg, Samuel
163583b4-a457-4d16-a002-07085efa31da
Gao, Yutian
6840c68c-815b-4aa6-aeef-9fc2f801190e
Waterson, Ben
60a59616-54f7-4c31-920d-975583953286
Milonidis, E.N.
8f7ef890-17f5-43b5-8ba4-f446ea715e5c

Kaparias, Ioannis, Miah, Shahjahan, Clegg, Samuel, Gao, Yutian, Waterson, Ben and Milonidis, E.N. (2021) Measuring the effect of highway design features on cyclist behavior using an instrumented bicycle. In 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2021. (doi:10.1109/MT-ITS49943.2021.9529276).

Record type: Conference or Workshop Item (Paper)

Abstract

Cycling is a travel mode that offers great advantages in terms of space consumption, health and environmental sustainability, and this makes it particularly popular in cities. However, it is also plagued by a poor road safety record, which has yet to be properly addressed due to a prevailing lack of understanding of the behavioral traits of cyclists that would enable the design of suitable interventions. The aim of this study is to offer some insight into cyclist behavior by investigating its relation with the road environment, as expressed by real-world cyclist trajectories in urban areas. Using an instrumented bicycle, quantitative measurements in terms of speed, steering angle and roll angle in response to different highway features were taken from cyclists riding along a pre-determined route in the city of Southampton, UK. The data were analyzed using neural networks and multiple linear regression and the findings highlighted a number of significant positive and negative effects for policy-makers and stakeholders to consider in the design of cyclist facilities and road infrastructure in general, as well as in road user education.

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More information

Accepted/In Press date: 2021
Published date: 16 June 2021
Additional Information: Publisher Copyright: © 2021 IEEE.
Venue - Dates: 7th International Conference on Models and Technologies for Intelligent Transportation Systems, Virtual, 2021-06-16 - 2021-06-17
Keywords: Behavior, Cycling, Field data collection, Highway design, Instrumented bicycle

Identifiers

Local EPrints ID: 449602
URI: http://eprints.soton.ac.uk/id/eprint/449602
PURE UUID: 00cb5128-bd9a-4372-b102-14f12c29c504
ORCID for Ioannis Kaparias: ORCID iD orcid.org/0000-0002-8857-1865
ORCID for Ben Waterson: ORCID iD orcid.org/0000-0001-9817-7119

Catalogue record

Date deposited: 08 Jun 2021 16:33
Last modified: 17 Mar 2024 03:45

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Contributors

Author: Shahjahan Miah
Author: Samuel Clegg
Author: Yutian Gao
Author: Ben Waterson ORCID iD
Author: E.N. Milonidis

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