Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/98055
| Title: | Capacity estimation of midblock bike lanes with mixed two-wheeled traffic | Authors: | Bai, L Liu, P Sze, NN Haggart, AG Chan, CY Zhou, H |
Issue Date: | 2021 | Source: | Transportmetrica. A, Transport science, 2021, v. 17, no. 4, p. 1318-1341 | Abstract: | The primary objectives of this study were to propose and validate a procedure for estimating the capacity of midblock bike lanes by taking into account the characteristics of three types of two-wheeled vehicle. The focus was on uninterrupted-flow midblock bike lanes on urban streets.We developed composite headway distribution models to identify the individual headway distributions of different types of two-wheeled vehicles, which were then aggregated to estimate the overall headway distribution based on their proportions in one lane. A distribution-free estimation approach was used to determine the key parameters of the composite headway distribution models. The proposed capacity estimation method was validated against field data which were collected at seven midblock bike lanes in Nanjing, China. Results suggest that the proposed procedure provides reasonable outcomes and can be used to estimate the capacities of midblock bike lanes with varying geometric design characteristics and traffic compositions. | Keywords: | Bike Bike lane Capacity Composite headway distribution Electric bike |
Publisher: | Taylor & Francis | Journal: | Transportmetrica. A, Transport science | ISSN: | 2324-9935 | EISSN: | 2324-9943 | DOI: | 10.1080/23249935.2020.1859640 | Rights: | © 2021 Hong Kong Society for Transportation Studies Limited This is an Accepted Manuscript of an article published by Taylor & Francis in Transportmetrica A: Transport Science on 28 Jan 2021 (Published online), available at: http://www.tandfonline.com/10.1080/23249935.2020.1859640. |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Sze_Capacity_Estimation_Midblock.pdf | Pre-Published version | 367.81 kB | Adobe PDF | View/Open |
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