Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/118558
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Civil and Environmental Engineering | en_US |
| dc.creator | Peng, Y | en_US |
| dc.creator | Wang, Z | en_US |
| dc.creator | Chen, A | en_US |
| dc.date.accessioned | 2026-04-23T08:45:16Z | - |
| dc.date.available | 2026-04-23T08:45:16Z | - |
| dc.identifier.issn | 1524-9050 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/118558 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
| dc.rights | © 2026 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
| dc.rights | The following publication Y. Peng, Z. Wang and A. Chen, "From Diesel to Electric: Exploring Fleet Increment Curves for Zero-Emission Bus Transition," in IEEE Transactions on Intelligent Transportation Systems, vol. 27, no. 5, pp. 6110-6120, May 2026 is available at https://doi.org/10.1109/TITS.2026.3654606. | en_US |
| dc.subject | Charging accessibility | en_US |
| dc.subject | Fleet increment curve | en_US |
| dc.subject | Lagrangian relaxation | en_US |
| dc.subject | Mixed-integer linear program | en_US |
| dc.subject | Zero-emission bus transition | en_US |
| dc.title | From diesel to electric : exploring fleet increment curves for zero-emission bus transition | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.spage | 6110 | en_US |
| dc.identifier.epage | 6120 | en_US |
| dc.identifier.volume | 27 | en_US |
| dc.identifier.issue | 5 | en_US |
| dc.identifier.doi | 10.1109/TITS.2026.3654606 | en_US |
| dcterms.abstract | Bus electrification is a key trend in the global evolution of public transportation systems. However, replacing diesel buses (DBs) with Battery electric buses (BEBs) is a long-term process, where the limited driving range and prolonged charging times might necessitate a larger BEB fleet to maintain trip services compared to the replaced DB fleet. To quantify this fleet expansion across variable replacement decisions, we introduce the fleet increment curve (FIC), a novel conceptual idea that guides BEB procurement decisions during the transition to the zero-emission bus (ZEB) system. First, the FIC is derived from solving a series of mixed-integer linear programming (MILP) (namely MILP-FIC model) by varying the replaced DB fleet as inputs, where each MILP is developed by means of linearization techniques, while formulating the mixed-fleet operation under limited charging accessibility. To solve the MILP-FIC, Lagrangian relaxation (LR) is applied to relax charging accessibility constraints, decomposing the problem into route-specific subproblems. Subsequently, representing FIC by-products as piecewise linear functions enables extended models developed for addressing long-term fleet replacement scheduling and charging resource allocation. A general fleet replacement scheduling is presented, which accommodates multiple BEB types (varying battery capacities and charging power) by deriving type-specific fleet procurement curves. We use real-world bus route data from Hong Kong to explore the FIC, revealing how route characteristics—such as trip frequency, trip duration, and energy consumption—interact with charging site characteristics (e.g., siting and sizing) to shape the FIC. The curves typically follow a non-decreasing trend, while an S-shaped trend occurs across certain routes. Additionally, the results demonstrate the effective incorporation of FIC into the planning for ZEB transition, providing valuable insights for bus operators. | en_US |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | IEEE transactions on intelligent transportation systems, May 2026, v. 27, no. 5, p. 6110-6120 | en_US |
| dcterms.isPartOf | IEEE transactions on intelligent transportation systems | en_US |
| dcterms.issued | 2026-05 | - |
| dc.identifier.scopus | 2-s2.0-105029017788 | - |
| dc.identifier.eissn | 1558-0016 | en_US |
| dc.description.validate | 202604 bcjz | en_US |
| dc.description.oa | Accepted Manuscript | en_US |
| dc.identifier.SubFormID | G001501/2026-04 | - |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | This work was supported in part by the Project of Strategic Importance under Grant 1-ZE0A; and in part by the Research Institute of Sustainable Urban Development at The Hong Kong Polytechnic University, Hong Kong, under Grant 1-BBG1 and Grant 1-BBWW. | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Peng_Diesel_Electric_Exploring.pdf | Pre-Published version | 5.32 MB | Adobe PDF | View/Open |
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