Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 11 min ago
Peer-reviewedCC BY 4.0Mathematics

Enhancing Equity in Multimodal Public Transport: Optimising Electric-Bus Transfer Stations

  1. 1College of Information Engineering, Ningde Normal University, Ningde 352100, China
  2. 2School of Civil Engineering and Transportation, Northeast Forestry University, Harbin 150040, China
  3. 3College of Civil Engineering, Fuzhou University, Fuzhou 350116, China

Abstract

As electric buses become increasingly integrated into urban public transport systems, research on their role in transfer networks remains limited. Passengers often encounter extended waiting times during transfers, raising equity concerns. This study formulates a multi-objective mixed-integer quadratic programming (MIQP) model to optimise electric-bus transfer-station planning, considering station-level transfer equity, the surrounding built environment, multimodal transfers involving metro services and taxis, and the operational characteristics of electric buses. The model aims to (1) minimise passenger transfer-time burden, (2) reduce system operating costs, and (3) improve station-level horizontal transfer equity. Sensitivity analyses are conducted for time cost and preference parameters. The Harbin case study shows that, compared with the original scheme, the optimised scheme reduces total transfer time by 11.25%, decreases the variance-based equity indicator by 25.52%, reduces the maximum transfer utility by 14.99%, and lowers annual operating costs by 206,700 CNY. This study provides crucial insights for optimising electric-bus deployment in the broader context of public transport electrification.

Related

  1. Differentiable Hybrid Modelling for Learning and Optimising Chemical Transport Processes from Experimental Data
    Arthur Jessop, Mohammed Alsubeihi, Ben Moseley +1
    arXivPreprintCC BY-NC-SA 4.0Full textNumerical analysis & scientific computingarXiv
  2. Enhancing Spectral Embedding through Robust and Flexible Knowledge Transfer in Electronic Health Records
    Feiqing Huang, Zongqi Xia, Rong Ma +1
    arXivPreprintCC BY 4.0Full textStatisticsarXiv
  3. Combining optimal low emission zones scheduling and electric vehicle purchase incentives for transport policy backcasting
    Asmae Alami, Vinith Lakshmanan, Antonio Sciarretta
    HALPreprintCC BY 4.0Full textOptimisation & controlHAL
  4. Designing battery swapping and charging networks for electric freight transport under demand uncertainty
    Yujia Xu, Walid Klibi, Benoit Montreuil
    arXivPreprintarXiv licenceFull textOptimisation & controlarXiv
  5. Transport along Local Annealing Paths: Wasserstein Geometry and Multimodal Sampling
    Han Chen, Sifan Liu
    arXivPreprintarXiv licenceFull textStatisticsarXiv
BibTeX
@article{zhang2026enhancing,
  title = {{Enhancing Equity in Multimodal Public Transport: Optimising Electric-Bus Transfer Stations}},
  author = {Jie Zhang and Xiaojuan Xie and Shungen Xiao and Yuqin Wu and Chuntong Dong},
  journal = {Mathematics},
  year = {2026},
  month = oct,
  doi = {10.3390/math14203789},
  url = {https://www.mdpi.com/2227-7390/14/20/3789},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Enhancing Equity in Multimodal Public Transport: Optimising Electric-Bus Transfer Stations
AU  - Jie Zhang
AU  - Xiaojuan Xie
AU  - Shungen Xiao
AU  - Yuqin Wu
AU  - Chuntong Dong
PY  - 2026
DA  - 2026/10/19
JO  - Mathematics
DO  - 10.3390/math14203789
UR  - https://www.mdpi.com/2227-7390/14/20/3789
AB  - As electric buses become increasingly integrated into urban public transport systems, research on their role in transfer networks remains limited. Passengers often encounter extended waiting times during transfers, raising equity concerns. This study formulates a multi-objective mixed-integer quadratic programming (MIQP) model to optimise electric-bus transfer-station planning, considering station-level transfer equity, the surrounding built environment, multimodal transfers involving metro services and taxis, and the operational characteristics of electric buses. The model aims to (1) minimise passenger transfer-time burden, (2) reduce system operating costs, and (3) improve station-level horizontal transfer equity. Sensitivity analyses are conducted for time cost and preference parameters. The Harbin case study shows that, compared with the original scheme, the optimised scheme reduces total transfer time by 11.25%, decreases the variance-based equity indicator by 25.52%, reduces the maximum transfer utility by 14.99%, and lowers annual operating costs by 206,700 CNY. This study provides crucial insights for optimising electric-bus deployment in the broader context of public transport electrification.
SN  - 2227-7390
ER  -