The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Built environment effects on the integration of dockless bike-sharing and the metro
Abstract
Abstract Bike-sharing provides a convenient feeder mode for connecting to a metro and is believed to be an efficient way to solve the first- and last-mile problem. Despite the increasing attention paid on the use of bike-sharing, few studies have investigated how built environment factors affect the integrated use of dockless bike-sharing (DBS) and the metro. Using data from one of the largest DBS operators in China (Ofo), this paper employed a series of negative binomial regressions to examine the effect of the built environment on the integrated use of DBS and the metro, using Shenzhen as a case study. The findings show that mixed land use is positively related to integrated use. Residential areas have higher access-integrated rates during the morning peak hours, while industrial areas are associated with more integrated uses, connecting factories and metro stations. Furthermore, parks and public squares encourage both access- and egress-integrated use during peak times. Transportation facility features, including bus stops and dedicated bike lanes, are positively related to integrated use, while areas with dense metro distribution and main streets with many intersections are negatively related. Transfer distance also plays a crucial and negative role in integrated use. In addition, metro stations that are closer to the city center with a higher number of passengers are more likely to be integrated with bike-sharing. These findings can be used to collectively facilitate a connection between cycling and metro transit by creating a bicycle-friendly environment.
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Cites
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Cited by
Public transport for smart cities: Recent innovations and future challenges
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Metadata
- Authors
- Guo, Y., & He, S. Y.
- Venue
- Transportation Research Part D: Transport and Environment
- Publisher
- Elsevier BV
- Published
- 2020-06
- Volume
- 83
- Pages
- 102335
- ISSN
- 1361-9209 (ISSN-L)
- OpenAlex
- W3016193691
- Cited by
- 322
- References
- 37
- FWCI
- 31.85
- Type
- journal article
- Language
- en
- Open access
- closed
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