Research on the Optimization for Last-Mile Logistics of Fresh Food Based on the Passenger-Cargo Shared Transportation

With the popularity of online ride-sourcing and the development of the sharing economy, shared logistics transportation gained much attention in relieving the strain in the last-mile logistics. This paper focuses on the last-mile logistics of fresh food in Shenzhen, taking a new pattern of “passenger-cargo shared transportation,” which coordinates the transportation of people and goods with the same destination and time requirements simultaneously. By using the mileage-saving method combining the limit factors such as vehicle loading and time windows, compared to the “single point, single route, multiple times” transportation mode, the results show that the shared transportation mode has reduced total delivery mileage by 49%. It is verified that this model can reduce costs and improve the efficiency and flexibility of logistics transportation, providing theoretical support for the construction of urban logistics hub systems as well.

Authors

Institutions

Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1061/9780784485484.066
Primary Topic
E-commerce and Technology Innovations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the Optimization for Last-Mile Logistics of Fresh Food Based on the Passenger-Cargo Shared Transportation

Binglei Xie, Le Yu, Hong Cao, Jiahe Liu
E-commerce and Technology Innovations
article

Research on the Optimization for Last-Mile Logistics of Fresh Food Based on the Passenger-Cargo Shared Transportation

Binglei Xie, Le Yu, Hong Cao, Jiahe Liu
article en

Abstract

With the popularity of online ride-sourcing and the development of the sharing economy, shared logistics transportation gained much attention in relieving the strain in the last-mile logistics. This paper focuses on the last-mile logistics of fresh food in Shenzhen, taking a new pattern of “passenger-cargo shared transportation,” which coordinates the transportation of people and goods with the same destination and time requirements simultaneously. By using the mileage-saving method combining the limit factors such as vehicle loading and time windows, compared to the “single point, single route, multiple times” transportation mode, the results show that the shared transportation mode has reduced total delivery mileage by 49%. It is verified that this model can reduce costs and improve the efficiency and flexibility of logistics transportation, providing theoretical support for the construction of urban logistics hub systems as well.

Harbin Institute of Technology (CN), Shenzhen Technology University (CN)
Zero hunger
Openalex Percentile: Top 58%
E-commerce and Technology Innovations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Research on the Optimization for Last-Mile Logistics of Fresh Food Based on the Passenger-Cargo Shared Transportation — Binglei Xie, Le Yu, et al. · (2024) | TGRS Research Map | TGRS