Data

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

The University of Queensland
Dr Dorina Pojani (Aggregated by) Dr Dorina Pojani (Aggregated by) Dr Richard Bean (Aggregated by) Dr Richard Bean (Aggregated by) Professor Jonathan Corcoran (Aggregated by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.17632/vmy42hywwx.1&rft.title=Natural barriers facing female cyclists and how to overcome them: a cross national examination of bikesharing schemes&rft.identifier=10.17632/vmy42hywwx.1&rft.publisher=The University of Queensland&rft.description=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).&rft.creator=Dr Dorina Pojani&rft.creator=Dr Dorina Pojani&rft.creator=Dr Richard Bean&rft.creator=Dr Richard Bean&rft.creator=Professor Jonathan Corcoran&rft.creator=Professor Jonathan Corcoran&rft.date=2024&rft_rights= https://guides.library.uq.edu.au/deposit-your-data/license-reuse-data-agreement&rft_subject=eng&rft_subject=bike sharing&rft_subject=GIS&rft_subject=gender&rft_subject=active transport&rft_subject=ERA5&rft_subject=JAXA&rft_subject=Cycling&rft_subject=Transport disadvantage&rft_subject=Active travel&rft_subject=Transport Planning&rft_subject=BUILT ENVIRONMENT AND DESIGN&rft_subject=URBAN AND REGIONAL PLANNING&rft_subject=Transport geography&rft_subject=Human geography&rft_subject=HUMAN SOCIETY&rft_subject=Urban geography&rft_subject=Geospatial information systems and geospatial data modelling&rft_subject=Geomatic engineering&rft_subject=ENGINEERING&rft_subject=Climate change impacts and adaptation&rft_subject=ENVIRONMENTAL SCIENCES&rft.type=dataset&rft.language=English Access the data

Contact Information

[email protected]

Full description

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).

Issued: 26 04 2024

Data time period: 02 2010 to 2023

This dataset is part of a larger collection

Other Information
Identifiers
ACN 633 798 857