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Environmental benefits of bike sharing: A big data-based analysis
Open accessAbstract
Bike sharing is a new form of transport and is becoming increasingly popular in cities around the world. This study aims to quantitatively estimate the environmental benefits of bike sharing. Using big data techniques, we estimate the impacts of bike sharing on energy use and carbon dioxide (CO2) and nitrogen oxide (NOX) emissions in Shanghai from a spatiotemporal perspective. In 2016, bike sharing in Shanghai saved 8358 tonnes of petrol and decreased CO2 and NOX emissions by 25,240 and 64 tonnes, respectively. From a spatial perspective, environmental benefits are much higher in more developed districts in Shanghai where population density is usually higher. From a temporal perspective, there are obvious morning and evening peaks of the environmental benefits of bike sharing, and evening peaks are higher than morning peaks. Bike sharing has great potential to reduce energy consumption and emissions based on its rapid development.
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Understanding mobility based on GPS data
Zheng, Y., Li, Q., Chen, Y., Xie, X., & Ma, W.-Y. (2008) · Proceedings of the 10th international conference on Ubiquitous computing · doi:10.1145/1409635.1409677 · Cited by 1,132
Cited by
Digital economy: An innovation driving factor for low-carbon development
Zhang, J., Lyu, Y., Li, Y., & Geng, Y. (2022) · Environmental Impact Assessment Review · doi:10.1016/j.eiar.2022.106821 · Cited by 567
The sharing economy promotes sustainable societies
Mi, Z., & Coffman, D. (2019) · Nature Communications · doi:10.1038/s41467-019-09260-4 · Cited by 257
Self-citationLife cycle assessment of shared electric bicycle on greenhouse gas emissions in China
Zhu, Z., & Lu, C. (2023) · Science of The Total Environment · doi:10.1016/j.scitotenv.2022.160546 · Cited by 39
Metadata
- Authors
- Zhang, Y., & Mi, Z.
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2018-06
- Volume
- 220
- Pages
- 296-301
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W2795119452
- Cited by
- 504
- References
- 1
- FWCI
- 62.13
- Type
- journal article
- Language
- en
- Open access
- green
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