Urban freight transport faces increasing pressure to transition toward more sustainable and low-carbon systems, yet innovation in the sector remains structurally weak. This research examines how public sector engagement and orchestration can improve innovation dynamics within urban freight innovation ecosystems, a domain characterised by fragmented actors, low levels of research and development investment, and limited cross-industry learning. Grounded in the Multi-Level Perspective on sustainability transitions proposed by Geels in 2011 and in innovation ecosystem theory developed by Walrave and colleagues in 2018, the study addresses two main questions. The first question concerns the role of the local public sector and the incentives it can provide to foster urban freight innovation ecosystems. The second question examines the configuration of incentives that is most effective, given local conditions and the diversity of stakeholders, in promoting innovation that supports sustainable transition. To address these questions, the research adopts a mixed-method exploratory sequential design that includes a systematic literature review, qualitative case analysis, and a hybrid simulation model developed in AnyLogic as a tool that can be used by the public sector. The model conceptualises innovation as a cumulative learning process. This is represented through the exchange of knowledge units between firms, universities, markets, and the public sector. Public sector engagement is modelled not only as financial support but also as governance and relational incentives such as access to trial facilities, data infrastructures, convening capacity, policy clarity, and the availability of innovation officers. The empirical application focuses on the Freight Innovation Cluster in the United Kingdom. This cluster, supported by the national government through the Connected Places Catapult, provides a real environment where public sector orchestration can be observed. Results indicate that public sector engagement strongly shapes the ecosystem by facilitating interactions, lowering uncertainty for firms, and enabling cross-industry knowledge flows. Compared with a baseline ecosystem, the cluster significantly increases the absorptive capacity and collaboration intensity of firms, accelerating their progression through the innovation lifecycle. Simulation results show that policy bundles that include access to market data, testing facilities, coordinated engagement opportunities, and research partnerships can increase innovation rates by up to thirty-three per cent. This demonstrates the amplifying effect of ecosystem design led by the public sector. Overall, the study shows that public sector engagement is central to the functioning of urban freight innovation ecosystems. By aligning incentives, mobilising diverse knowledge, and sustaining early-stage ideas, local authorities act as ecosystem architects who shape the direction, speed, and inclusiveness of innovation. These insights provide practical guidance for cities seeking to develop innovation ecosystems that support sustainable and resilient freight systems.
Il trasporto merci urbano è sottoposto a crescenti pressioni per una transizione verso sistemi più sostenibili e a basse emissioni di carbonio; tuttavia, l’innovazione nel settore rimane strutturalmente debole. Questa ricerca analizza come il coinvolgimento e l’orchestrazione del settore pubblico possano migliorare le dinamiche innovative all’interno degli ecosistemi di innovazione del trasporto merci urbano, un ambito caratterizzato da attori frammentati, bassi livelli di investimento in ricerca e sviluppo e limitate opportunità di apprendimento intersettoriale. Fondato sulla Multi-Level Perspective sulle transizioni alla sostenibilità proposta da Geels nel 2011 e sulla teoria degli ecosistemi di innovazione sviluppata da Walrave e colleghi nel 2018, lo studio affronta due quesiti principali. Il primo riguarda il ruolo del settore pubblico locale e gli incentivi che esso può fornire per favorire lo sviluppo di ecosistemi di innovazione nel trasporto merci urbano. Il secondo esamina quale configurazione di incentivi risulti più efficace, date le condizioni locali e la diversità degli stakeholder, nel promuovere innovazioni a supporto della transizione sostenibile. Per rispondere a tali quesiti, la ricerca adotta un disegno metodologico esplorativo sequenziale a metodi misti, che include una revisione sistematica della letteratura, un’analisi qualitativa di casi di studio e lo sviluppo di un modello di simulazione ibrido in AnyLogic, concepito come strumento di supporto per il settore pubblico. Il modello concettualizza l’innovazione come un processo cumulativo di apprendimento, rappresentato attraverso lo scambio di unità di conoscenza tra imprese, università, mercati e settore pubblico. Il coinvolgimento del settore pubblico è modellato non solo in termini di supporto finanziario, ma anche attraverso incentivi di natura governance-relazionale, quali l’accesso a infrastrutture di sperimentazione, sistemi di dati, capacità di convocazione e coordinamento, chiarezza normativa e disponibilità di innovation officer. L’applicazione empirica si concentra sul Freight Innovation Cluster nel Regno Unito. Questo cluster, sostenuto dal governo nazionale tramite il Connected Places Catapult, offre un contesto reale in cui è possibile osservare l’orchestrazione del settore pubblico. I risultati indicano che il coinvolgimento pubblico influenza in modo significativo l’ecosistema, facilitando le interazioni, riducendo l’incertezza per le imprese e abilitando flussi di conoscenza intersettoriali. Rispetto a un ecosistema di base, il cluster incrementa in modo rilevante la capacità di assorbimento e l’intensità collaborativa delle imprese, accelerando il passaggio attraverso il ciclo di vita dell’innovazione. I risultati delle simulazioni mostrano che pacchetti di politiche che includono l’accesso a dati di mercato, infrastrutture di test, opportunità di engagement coordinate e partenariati di ricerca possono aumentare i tassi di innovazione fino al trentatré per cento. Ciò dimostra l’effetto amplificatore di una progettazione dell’ecosistema guidata dal settore pubblico. Nel complesso, lo studio evidenzia che il coinvolgimento del settore pubblico è centrale per il funzionamento degli ecosistemi di innovazione del trasporto merci urbano. Allineando gli incentivi, mobilitando conoscenze eterogenee e sostenendo le idee nelle fasi iniziali, le autorità locali agiscono come architetti dell’ecosistema, plasmando la direzione, la velocità e l’inclusività dell’innovazione. Queste evidenze forniscono indicazioni operative per le città che intendono sviluppare ecosistemi di innovazione in grado di supportare sistemi di trasporto merci sostenibili e resilienti.
Pianificazione degli ecosistemi di innovazione del freight / Pana Tronca, Luciano Agustin. - (2026 May 13).
Pianificazione degli ecosistemi di innovazione del freight
PANA TRONCA, LUCIANO AGUSTIN
2026-05-13
Abstract
Urban freight transport faces increasing pressure to transition toward more sustainable and low-carbon systems, yet innovation in the sector remains structurally weak. This research examines how public sector engagement and orchestration can improve innovation dynamics within urban freight innovation ecosystems, a domain characterised by fragmented actors, low levels of research and development investment, and limited cross-industry learning. Grounded in the Multi-Level Perspective on sustainability transitions proposed by Geels in 2011 and in innovation ecosystem theory developed by Walrave and colleagues in 2018, the study addresses two main questions. The first question concerns the role of the local public sector and the incentives it can provide to foster urban freight innovation ecosystems. The second question examines the configuration of incentives that is most effective, given local conditions and the diversity of stakeholders, in promoting innovation that supports sustainable transition. To address these questions, the research adopts a mixed-method exploratory sequential design that includes a systematic literature review, qualitative case analysis, and a hybrid simulation model developed in AnyLogic as a tool that can be used by the public sector. The model conceptualises innovation as a cumulative learning process. This is represented through the exchange of knowledge units between firms, universities, markets, and the public sector. Public sector engagement is modelled not only as financial support but also as governance and relational incentives such as access to trial facilities, data infrastructures, convening capacity, policy clarity, and the availability of innovation officers. The empirical application focuses on the Freight Innovation Cluster in the United Kingdom. This cluster, supported by the national government through the Connected Places Catapult, provides a real environment where public sector orchestration can be observed. Results indicate that public sector engagement strongly shapes the ecosystem by facilitating interactions, lowering uncertainty for firms, and enabling cross-industry knowledge flows. Compared with a baseline ecosystem, the cluster significantly increases the absorptive capacity and collaboration intensity of firms, accelerating their progression through the innovation lifecycle. Simulation results show that policy bundles that include access to market data, testing facilities, coordinated engagement opportunities, and research partnerships can increase innovation rates by up to thirty-three per cent. This demonstrates the amplifying effect of ecosystem design led by the public sector. Overall, the study shows that public sector engagement is central to the functioning of urban freight innovation ecosystems. By aligning incentives, mobilising diverse knowledge, and sustaining early-stage ideas, local authorities act as ecosystem architects who shape the direction, speed, and inclusiveness of innovation. These insights provide practical guidance for cities seeking to develop innovation ecosystems that support sustainable and resilient freight systems.| File | Dimensione | Formato | |
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