Natural barriers facing female cyclists and how to overcome them: a cross national examination of bikesharing schemes

Dataset

DOI PID

Data and software for examining the role of natural barriers in over 200 million trips from bikesharing data from 10 cities.The data is integrated with weather data, gradient data, and sunrise/sunset data and examined by gender (male / female self-reported) to check for significant differences between gender using Generalized Additive Models (GAMs).

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Identifier
DOI	https://doi.org/10.17632/vmy42hywwx.1
PID	https://nbn-resolving.org/urn:nbn:nl:ui:13-xr-1thp
Metadata Access	https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:340891

Provenance
Creator	Bean, R
Publisher	Data Archiving and Networked Services (DANS)
Contributor	Richard Bean
Publication Year	2024
Rights	info:eu-repo/semantics/openAccess; License: http://creativecommons.org/licenses/by/4.0; http://creativecommons.org/licenses/by/4.0
OpenAccess	true

Representation
Resource Type	Dataset
Discipline	Other