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http://hdl.handle.net/10397/98299
| Title: | Continuum approximation modeling of transit network design considering local route service and short-turn strategy | Authors: | Chen, J Liu, Z Wang, S Chen, X |
Issue Date: | Nov-2018 | Source: | Transportation research. Part E, Logistics and transportation review, Nov. 2018, v. 119, p. 165-188 | Abstract: | This paper proposes a continuum approximation (CA) modeling framework to optimize the hybrid transit network designed with grids in the central district and hub-and-spoke structure in the periphery. Two CA models are formulated incorporating the local route service and the short-turn strategy respectively. The transit network configuration is optimized through minimizing the objective functions, which consider costs pertinent to passengers and operating agency. The decision variables include service boundary, spacings and headways of the regular service and the complementary services. Numerical experiments show that the performances of CA models with different complementary services are quite distinct under various demand scenarios. | Keywords: | Continuum approximation Local route service Short-turn strategy Transit network design |
Publisher: | Pergamon Press | Journal: | Transportation research. Part E, Logistics and transportation review | ISSN: | 1366-5545 | EISSN: | 1878-5794 | DOI: | 10.1016/j.tre.2018.10.001 | Rights: | © 2018 Elsevier Ltd. All rights reserved. © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/. The following publication Chen, J., Liu, Z., Wang, S., & Chen, X. (2018). Continuum approximation modeling of transit network design considering local route service and short-turn strategy. Transportation Research Part E: Logistics and Transportation Review, 119, 165-188 is available at https://doi.org/10.1016/j.tre.2018.10.001. |
| Appears in Collections: | Journal/Magazine Article |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| Wang_Continuum_Approximation_Modeling.pdf | Pre-Published version | 2.69 MB | Adobe PDF | View/Open |
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