Research on sustainable urban distribution path optimization based on the nearest neighbor algorithm

DOI

10.2991/978-94-6463-102-9_30How to use a DOI?

Keywords

sustainability; green logistics; nearest neighbor algorithm; path optimization; correlation coefficient

Abstract

Shortest distribution route, plays a crucial role in energy consumption reduction and carbon emission control for reducing carbon emission, is seen effective in aiding to achieve sustainable development in the urban environment. This paper proposes an optimization algorithm with correlation coefficients based on the nearest neighbor algorithm for planning single-vehicle distribution routes in cities. The experimental results demonstrates the algorithm’s effectiveness in shortening distribution path distances and reducing carbon emission from vehicles, which then also reveals its practical significance for the realization of green logistics.

Copyright

© 2023 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.

Download article (PDF)

TY  - CONF
AU  - Haoran Ma
AU  - Ruoyu Hao
PY  - 2022
DA  - 2022/12/29
TI  - Research on sustainable urban distribution path optimization based on the nearest neighbor algorithm
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 266
EP  - 275
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_30
DO  - 10.2991/978-94-6463-102-9_30
ID  - Ma2022
ER  -