Towards enhancing the last-mile delivery: An effective crowd-tasking model with scalable solutions

By Y. Wang, Dongxiang Zhang, Q. Liu, Fumin Shen, L. Lee. 2016

338 citations recorded by the source corpus.

Subfields: Building and Construction, Computer Science Applications

View Paper: https://www.semanticscholar.org/paper/aec8608abd8b32e2f6bd50686ab5a569dbfd4b3b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. E. Alvarez-Palau
2. M. Viu-Roig

Citations in the corpus

• City logistics, urban goods distribution and last mile delivery and collection (2017, background): “Also, Oliveira et al. (2014) conceptualized similar urban logistics spaces to evaluate the applicability in Belo Horizonte, Brazil, while Wang et al. (2016) showed comprehensive experimentations in Singapore and Beijing.”
• A Review of Last Mile Logistics Innovations in an Externalities Cost Reduction Vision (2018, methodology): “Proximity station [52], 2016 A crowd-tasking model based on large-scale mobility with citizen workers is used in the last-mile delivery X”
• The Impact of E-Commerce-Related Last-Mile Logistics on Cities: A Systematic Literature Review (2020, background): “Lastly, one further aspect analyzed by different authors is the use of crowd logistics for last-mile delivery [40,50,65,73,85] under the umbrella term of mass social transportation.”