Journal ArticleDOI
Crowdsourcing the last mile delivery of online orders by exploiting the social networks of retail store customers
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In this article, the authors demonstrate the potential benefits of crowdsourcing last mile delivery by exploiting a social network of the customers and show that using friends in social networks to assist in last-mile delivery greatly reduces delivery costs and total emissions while ensuring speedy and reliable delivery.Abstract:
This paper demonstrates the potential benefits of crowdsourcing last mile delivery by exploiting a social network of the customers. The presented models and analysis are informed by the results of a survey to gauge people’s attitudes toward engaging in social network-reliant package delivery to and by friends or acquaintances. It is found that using friends in a social network to assist in last mile delivery greatly reduces delivery costs and total emissions while ensuring speedy and reliable delivery. The proposed new delivery method also mitigates the privacy concerns and not-at-home syndrome that widely exist in last mile delivery.read more
Citations
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Journal ArticleDOI
Bibliometric analysis of sharing economy logistics and crowd logistics
TL;DR: In this article, a review of the literature on sharing economy logistics and crowd logistics to answer the three following questions is presented: How is the literature structured? What are the main trends in sharing economy, and what are the future research options? And how the social crowd can be integrated into the logistics process.
Journal ArticleDOI
A Novel Hybrid MCDM Model for the Evaluation of Sustainable Last Mile Solutions
TL;DR: In this article, a hybrid model that combines Delphi, FARE (Factor Relationship), and VIKOR (Viˇsekriterijumska Optimizacija i Kompromisno Reˇsenje) methods in the fuzzy environment is developed.
Proceedings ArticleDOI
What Drives the Drivers? A Qualitative Perspective on what Motivates the Crowd Delivery Workforce.
TL;DR: It is found that the motivations of crowd delivery drivers differ from other crowds, and it is important to consider these particularities to reach the critical mass of drivers and attract to most effective workforce.
Journal ArticleDOI
An active-learning Pareto evolutionary algorithm for parcel locker network design considering accessibility of customers
TL;DR: Wang et al. as mentioned in this paper proposed an active-learning Pareto evolutionary algorithm (ALPEA) to solve the multi-objective parcel locker network design problem (MOPLNDP), which is motivated by real-life network design problems in urban last-mile logistics.
Journal ArticleDOI
The Probabilistic Travelling Salesman Problem with Crowdsourcing
TL;DR: In this paper , the authors study a variant of the Travelling Salesman Problem arising when retailers crowdsource last-mile deliveries to their own customers, who can refuse or accept in exchange for a reward.
References
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Journal ArticleDOI
Solving the last mile issue: reception box or delivery box?
TL;DR: In this paper, two main approaches to unattended delivery are the reception box concept and the delivery box concept, and the authors assesses these two different concepts using simulation and compare the operational cost savings are compared to the respective investments required to calculate the payback period.
Journal ArticleDOI
Paradoxes of openness and distinction in the sharing economy
Juliet B. Schor,Connor Fitzmaurice,Lindsey B. Carfagna,William Attwood-Charles,Emilie Dubois Poteat +4 more
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