Crowdsourced last mile delivery: Collaborative workforce assignment-Reference-Cited by-同舟云学术

Crowdsourced last mile delivery: Collaborative workforce assignment

Published:2023-07 Issue: Volume:22 Page:100692
ISSN:2542-6605
Container-title:Internet of Things
language:en
Short-container-title:Internet of Things

Author:

Elsokkary Nada,Otrok Hadi,Singh Shakti,Mizouni Rabeb^ORCID,Barada Hassan,Omar Mohammed

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Engineering (miscellaneous),Information Systems,Computer Science (miscellaneous),Software

Reference50 articles.

1. Adoption of delivery services in light of the COVID pandemic: Who and how long?;Wang;Transp. Res. Part A: Policy Pract.,2021

2. Car4Pac: Last mile parcel delivery through intelligent car trip sharing;Wang;IEEE Trans. Intell. Transp. Syst.,2019

3. D. Iankelevich, WorldWide Retail E-Commerce Sales: E-Marketer’s Updated Estimates and Forecast Through 2019, New York, 2015.

4. Digital markets ecommerce statistics;Statista,2022

5. The challenges of last mile delivery logistics and the tech solutions cutting costs in the final mile (Business Insider Intelligence);Dolan,2022

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2. Crowdsourcing integration on the last mile delivery platform considering floating population data;Expert Systems with Applications;2024-01

3. A Novel Approach for Production Quality Improvement in the Textile Industry: A TOPSIS-Based Assignment Model*;2023 9th International Conference on Control, Decision and Information Technologies (CoDIT);2023-07-03