This study investigates the impact of digital technologies on the logistics sector, focusing on last-mile delivery in the food delivery industry in Italy. The research specifically compares two cities, Urbino and Milan, highlighting the differ ences in how Just Eat and Glovo operate in urban and peripheral contexts. In Urbino, small restaurant businesses face significant logistical challenges due to the absence of a robust food delivery network, requiring them to handle delivery services inde pendently. This contrasts with Milan, where both platforms offer more comprehen sive delivery solutions. By analyzing variables such as delivery price, minimum order price, delivery times, and customer reviews, the study identifies Glovo’s flex ible business model as better suited to smaller cities like Urbino, where fluctuating demand and limited resources make managing logistics difficult. The case of Alfonsino, a food delivery platform that has successfully operated in small towns, further supports this conclusion. The findings suggest that adopting a model like Glovo’s “Order & Delivery,” which offers greater flexibility and lower costs, could enhance delivery services in smaller cities. The research also highlights future opportunities for exploring the environmental impacts of crowdshipping and the role of technological advancements, such as autonomous delivery, in shaping the future of last-mile logistics.
Digital Transformation and Last-Mile Logistics in Food Delivery: A Comparative Analysis of Urban and Peripheral Models
Sofia Temperoni;Gaia Verrocchio;Laura Bravi
;Giada Pierli;Federica Murmura
2025
Abstract
This study investigates the impact of digital technologies on the logistics sector, focusing on last-mile delivery in the food delivery industry in Italy. The research specifically compares two cities, Urbino and Milan, highlighting the differ ences in how Just Eat and Glovo operate in urban and peripheral contexts. In Urbino, small restaurant businesses face significant logistical challenges due to the absence of a robust food delivery network, requiring them to handle delivery services inde pendently. This contrasts with Milan, where both platforms offer more comprehen sive delivery solutions. By analyzing variables such as delivery price, minimum order price, delivery times, and customer reviews, the study identifies Glovo’s flex ible business model as better suited to smaller cities like Urbino, where fluctuating demand and limited resources make managing logistics difficult. The case of Alfonsino, a food delivery platform that has successfully operated in small towns, further supports this conclusion. The findings suggest that adopting a model like Glovo’s “Order & Delivery,” which offers greater flexibility and lower costs, could enhance delivery services in smaller cities. The research also highlights future opportunities for exploring the environmental impacts of crowdshipping and the role of technological advancements, such as autonomous delivery, in shaping the future of last-mile logistics.| File | Dimensione | Formato | |
|---|---|---|---|
|
DTI2024 - LAST MILE LOGISTIC.pdf
solo utenti autorizzati
Tipologia:
Versione editoriale
Licenza:
Copyright (tutti i diritti riservati)
Dimensione
929.31 kB
Formato
Adobe PDF
|
929.31 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


