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Data on unsafe riding behaviors among 1960 shared bicycle riders in urban China
This data article quantifies the extent of shared bicycle riding risks for shared-bicycle riders in urban China. The data were collected through a WeChat-based online survey, with a valid sample of 1960 respondents. It reports the basic descriptive statistics through eight tables concerning various...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6700483/ https://www.ncbi.nlm.nih.gov/pubmed/31453300 http://dx.doi.org/10.1016/j.dib.2019.104329 |
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author | Wu, Xiaolin Xiao, Wangxin Deng, Conghui Schwebel, David C. Hu, Guoqing |
author_facet | Wu, Xiaolin Xiao, Wangxin Deng, Conghui Schwebel, David C. Hu, Guoqing |
author_sort | Wu, Xiaolin |
collection | PubMed |
description | This data article quantifies the extent of shared bicycle riding risks for shared-bicycle riders in urban China. The data were collected through a WeChat-based online survey, with a valid sample of 1960 respondents. It reports the basic descriptive statistics through eight tables concerning various unsafe shared bicycle riding behaviors, and complete frequency data from riders concerning eight unsafe riding behaviors. The data can be used for comparisons with other studies using the same outcome measures, which are valuable to generate specialized and targeted solutions to reduce unsafe riding behaviors. For further information, please refer to the full article entitled “Unsafe riding behaviors of shared-bicycle riders in urban China: A retrospective survey”.(Wu et al., 2019). |
format | Online Article Text |
id | pubmed-6700483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-67004832019-08-26 Data on unsafe riding behaviors among 1960 shared bicycle riders in urban China Wu, Xiaolin Xiao, Wangxin Deng, Conghui Schwebel, David C. Hu, Guoqing Data Brief Medicine and Dentistry This data article quantifies the extent of shared bicycle riding risks for shared-bicycle riders in urban China. The data were collected through a WeChat-based online survey, with a valid sample of 1960 respondents. It reports the basic descriptive statistics through eight tables concerning various unsafe shared bicycle riding behaviors, and complete frequency data from riders concerning eight unsafe riding behaviors. The data can be used for comparisons with other studies using the same outcome measures, which are valuable to generate specialized and targeted solutions to reduce unsafe riding behaviors. For further information, please refer to the full article entitled “Unsafe riding behaviors of shared-bicycle riders in urban China: A retrospective survey”.(Wu et al., 2019). Elsevier 2019-07-27 /pmc/articles/PMC6700483/ /pubmed/31453300 http://dx.doi.org/10.1016/j.dib.2019.104329 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Medicine and Dentistry Wu, Xiaolin Xiao, Wangxin Deng, Conghui Schwebel, David C. Hu, Guoqing Data on unsafe riding behaviors among 1960 shared bicycle riders in urban China |
title | Data on unsafe riding behaviors among 1960 shared bicycle riders in urban China |
title_full | Data on unsafe riding behaviors among 1960 shared bicycle riders in urban China |
title_fullStr | Data on unsafe riding behaviors among 1960 shared bicycle riders in urban China |
title_full_unstemmed | Data on unsafe riding behaviors among 1960 shared bicycle riders in urban China |
title_short | Data on unsafe riding behaviors among 1960 shared bicycle riders in urban China |
title_sort | data on unsafe riding behaviors among 1960 shared bicycle riders in urban china |
topic | Medicine and Dentistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6700483/ https://www.ncbi.nlm.nih.gov/pubmed/31453300 http://dx.doi.org/10.1016/j.dib.2019.104329 |
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