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Assessing cyclists’ routing preferences by analyzing extensive user setting data from a bike-routing engine

Hardinghaus, Michael and Nieland, Simon (2021) Assessing cyclists’ routing preferences by analyzing extensive user setting data from a bike-routing engine. European Transport Research Review, 13 (41), pp. 1-19. Springer. doi: 10.1186/s12544-021-00499-x. ISSN 1867-0717.

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Official URL: https://etrr.springeropen.com/articles/10.1186/s12544-021-00499-x


Introduction Many municipalities aim to support the uptake of cycling as an environmentally friendly and healthy mode of transport. It is therefore crucial to meet the demand of cyclists when adapting road infrastructure. Previous studies researching cyclists’ route choice behavior deliver valuable insights but are constrained by laboratory conditions, limitations in the number of observations, or the observation period or relay on specific use cases. Methods The present study analyzes a dataset of over 450,000 observations of cyclists’ routing settings for the navigation of individual trips in Berlin, Germany. It therefore analyzes query data recorded in the bike-routing engine BBBike and clusters the many different user settings with regard to preferred route characteristics. Results and Conclusion Results condense the large number of routing settings into characteristic preference clusters. Compared with earlier findings, the big data approach highlights the significance of short routes, side streets and the importance of high-quality surfaces for routing choices, while cycling on dedicated facilities seems a little less important. Consequentially, providing separated cycle facilities along main roads – often the main focal point of cycle plans – should be put into the context of an integrated strategy which fulfills distinct preferences to achieve greater success. It is therefore particularly important to provide a cycle network in calm residential streets as well as catering for short, direct cycle routes.

Item URL in elib:https://elib.dlr.de/143450/
Document Type:Article
Title:Assessing cyclists’ routing preferences by analyzing extensive user setting data from a bike-routing engine
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Hardinghaus, MichaelUNSPECIFIEDhttps://orcid.org/0000-0002-3846-0323UNSPECIFIED
Nieland, SimonUNSPECIFIEDhttps://orcid.org/0000-0002-1116-0646UNSPECIFIED
Date:27 July 2021
Journal or Publication Title:European Transport Research Review
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
Page Range:pp. 1-19
Series Name:European Transport Research Review
Keywords:Active travel, Bicycle route choice, Navigation data, Preference types
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Transport System
DLR - Research area:Transport
DLR - Program:V VS - Verkehrssystem
DLR - Research theme (Project):V - UrMo Digital (old)
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transport Research > Mobility and Urban Development
Deposited By: Hardinghaus, Dr. Michael
Deposited On:27 Aug 2021 16:17
Last Modified:27 Aug 2021 16:17

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