Cestaro, Sabrina (2025) Exploring the potential of Crowd-Shipping for urban delivery systems. [Tesi di dottorato]

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Tipologia del documento: Tesi di dottorato
Lingua: English
Titolo: Exploring the potential of Crowd-Shipping for urban delivery systems
Autori:
Autore
Email
Cestaro, Sabrina
sabrina.cestaro@unina.it
Data: 15 Dicembre 2025
Numero di pagine: 230
Istituzione: Università degli Studi di Napoli Federico II
Dipartimento: Ingegneria Civile, Edile e Ambientale
Dottorato: Ingegneria dei sistemi civili
Ciclo di dottorato: 38
Coordinatore del Corso di dottorato:
nome
email
Papola, Andrea
papola@unina.it
Tutor:
nome
email
Marzano, Vittorio
[non definito]
Simonelli, Fulvio
[non definito]
Data: 15 Dicembre 2025
Numero di pagine: 230
Parole chiave: Crowd-Shipping feasibility; Passenger-Freight integration; Last-mile modelling; GPS data
Settori scientifico-disciplinari del MIUR: Area 08 - Ingegneria civile e Architettura > ICAR/05 - Trasporti
Informazioni aggiuntive: 38
Depositato il: 19 Dic 2025 15:51
Ultima modifica: 12 Ago 2026 05:37
URI: https://www.fedoa.unina.it/id/eprint/15996

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Abstract

Urban freight transport is a major contributor to congestion, air pollution and greenhouse gas emissions, particularly in urban areas where last-mile delivery demand is rapidly increasing. In this context, crowd-shipping has emerged as a promising approach to complement conventional urban logistics by exploiting unused capacity in passenger mobility. This doctoral thesis investigates the potential of crowd-shipping as an innovative component of urban delivery systems, assessing its feasibility and its possible contribution to reducing operational costs and environmental impacts for urban delivery systems. The research develops an integrated methodological framework combining GPS-based reconstruction of delivery tours, marginal cost assessment of individual delivery segments, and the spatial matching between freight origin–destination pairs and census section-based commuting flows. On this basis, a probabilistic model is formulated to estimate the acceptance rate and penetration of crowd-shipping, by quantifying the likelihood that at least one commuter is willing to perform a freight delivery on a given O-D pair. Building on this probabilistic estimation, a combinatorial procedure is subsequently introduced to explore all feasible activation scenarios of delivery stops and to derive expected tour distances and associated economic and environmental indicators. The empirical application to the Campania Region shows that even moderate levels of crowd-shipping acceptance can generate measurable reductions in tour length, operating costs and CO₂ emissions, particularly when targeted at the most inefficient delivery segments. Overall, the findings confirm that crowd-shipping can act as an effective complementary strategy for improving the efficiency and sustainability of urban delivery systems, while highlighting the central role of behavioural acceptance in enabling real-world implementation.

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