Route Optimization of Multimodal Transportation Considering Customer Satisfaction

DOI

10.2991/978-94-6463-447-1_40How to use a DOI?

Keywords

Route Optimization; Multimodal Transportation; Customer Satisfaction

Abstract

With economic advancement, cargo transportation faces increased demands for efficiency, cost-effectiveness, and carbon footprint reduction. A multi-objective mathematical model prioritizes minimizing costs and maximizing customer satisfaction, considering factors like route expenditure, transfer fees, and carbon emission fees. Non-dominated sorting genetic algorithms are applied, validated with a case study from Lanzhou to Shanghai. Findings show that: Higher levels of customer satisfaction often come with higher transportation costs; Carbon emission costs under the trading mechanism are relatively minor. Research on route optimization offers insights for strategic planning by multimodal transport operators.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Bo Peng
AU  - Lanfen Liu
AU  - Kaizhang Fan
PY  - 2024
DA  - 2024/07/14
TI  - Route Optimization of Multimodal Transportation Considering Customer Satisfaction
BT  - Proceedings of the 2024 3rd International Conference on Engineering Management and Information Science (EMIS 2024)
PB  - Atlantis Press
SP  - 376
EP  - 384
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-447-1_40
DO  - 10.2991/978-94-6463-447-1_40
ID  - Peng2024
ER  -