Periodic Reporting for period 1 - LEAD (Low-Emission Adaptive last mile logistics supporting 'on Demand economy' through digital twins)
Reporting period: 2020-06-01 to 2021-11-30
LEAD develops Digital Twins of urban logistics networks in six TEN-T urban nodes (Madrid, The Hague, Lyon, Budapest, Oslo, Porto), to support experimentation and decision making with on-demand logistics operations in a public-private urban setting. City logistics solutions are represented by a set of value case scenarios that address the requirements of the on-demand economy and the pressures caused by the increase of parcel deliveries while aligning competing interests and creating value for all different stakeholders. Each value case will combine a number of measures coined as LEAD Strategies to cover the complete dynamics and complexity of a city’s logistics challenges:
a) innovative business models,
b) agile urban freight storage and last mile distribution schemes,
c) low emission, automated, electric or hybrid delivery vehicles, and
d) smart logistics solutions.
Scenarios will incorporate opportunities for shared, connected and low-emission logistics operations by considering four innovation drivers: Sustainability - Zero Emission Logistics, the Sharing Economy, Technology Advancements and the emerging Physical Internet (PI) paradigm.
Cost, environmental and operational efficiencies for value cases will be measured in six Living Labs (Madrid, The Hague, Budapest, Lyon, Oslo, Porto). Evidence-proven value cases and associated logistics solutions will be delivered in the form of TRL 7 reusable digital twins incorporating the models that support adaptation to different contexts and provide incentives for Public-Private partnerships.
a) innovative business models,
b) agile urban freight storage and last mile distribution schemes,
c) low emission, automated, electric or hybrid delivery vehicles, and
d) smart logistics solutions.
Scenarios will incorporate opportunities for shared, connected and low-emission logistics operations by considering four innovation drivers: Sustainability - Zero Emission Logistics, the Sharing Economy, Technology Advancements and the emerging Physical Internet (PI) paradigm.
Cost, environmental and operational efficiencies for value cases will be measured in six Living Labs (Madrid, The Hague, Budapest, Lyon, Oslo, Porto). Evidence-proven value cases and associated logistics solutions will be delivered in the form of TRL 7 reusable digital twins incorporating the models that support adaptation to different contexts and provide incentives for Public-Private partnerships.
LEAD’s solutions are co-designed by city authorities, logistics industry leaders, start-ups and research experts in freight modelling, complex simulation and logistics optimisation in six cities, involving partners beyond the limits of the consortium. In the first 18 months of the project, LEAD has:
Developed a contextual framework to support the design and implementation of cost-effective sustainable integrated city logistics systems, by involving stakeholders in the co-creation of innovative last mile solutions and services that address the needs of the on-demand economy, delivering:
• Captured the city Logistics landscape in the era of on-demand economy
• Knowledge Base - Reference Models
• Innovative Business Models, Governance and PPPs
• Innovation Agenda - Value case scenarios and validation KPIs
Developed the LEAD overall Solution Architecture after consolidating technical requirements and a first prototype of the LEAD platform.
Designed the LEAD Stakeholders Engagement Strategy and Dissemination Plan.
Delivered 68 reference LEAD strategies, measures and prominent value case scenarios to be explored through simulation in the Digital Twins and in real-life urban setting experiments (LLs).
Developed the LLs value cases.
Developed a contextual framework to support the design and implementation of cost-effective sustainable integrated city logistics systems, by involving stakeholders in the co-creation of innovative last mile solutions and services that address the needs of the on-demand economy, delivering:
• Captured the city Logistics landscape in the era of on-demand economy
• Knowledge Base - Reference Models
• Innovative Business Models, Governance and PPPs
• Innovation Agenda - Value case scenarios and validation KPIs
Developed the LEAD overall Solution Architecture after consolidating technical requirements and a first prototype of the LEAD platform.
Designed the LEAD Stakeholders Engagement Strategy and Dissemination Plan.
Delivered 68 reference LEAD strategies, measures and prominent value case scenarios to be explored through simulation in the Digital Twins and in real-life urban setting experiments (LLs).
Developed the LLs value cases.
LEAD’s innovation is driven by:
a. Sustainability - Zero Emission Logistics
b. Sharing Economy
c. ICT Technology Advancements
d. The Physical Internet paradigm
LEAD’s innovation is summarised in four axis.
Efficient Operations: Introduce the adoption of Digital Twins in last mile logistics to improve the operation and efficiency of parcel delivery, reduce costs and externalities through forecasting and predictions of future states and support advanced decision making through the entire logistics lifecycle, while also fostering stakeholder participation via reliable real-life information.
Data-driven Decisions: Develop technology enablers for building Digital Twins including modelling, predictive analytics and decision-making methods, and the use of lifecycle-oriented knowledge with historical and real-time operational and city data. A Dynamic Data-Driven Application System (DDDAS) will manage the real-time coordination of models and data, interfacing to digital platforms, APIs and sensors and integrating city data in the models.
Co-Design: The Digital Twins enable the co-design of value cases by suppliers, shippers, policy makers and urban planners, and the development of solutions for integrated systems of logistics/freight operations in urban, metropolitan and peri-urban areas, introducing low-emission, connected/automated delivery vehicles.
Social Impacts: LEAD fosters green consumer behaviour by investigating consumer choices and willingness to pay for green urban freight distribution and introducing an advanced user-centred approach accounting for heterogeneous preferences of players. LEAD proposes, among other techniques, the integration of discrete choice modelling and agent-based modelling to produce a ranking of plausible policies that maximize consensus building whilst minimizing utility losses due to the negotiation process. One can use these results to support real participatory decision-making processes on urban freight-related policies while accounting both for stakeholders’ heterogeneous preferences and for interaction effects.
a. Sustainability - Zero Emission Logistics
b. Sharing Economy
c. ICT Technology Advancements
d. The Physical Internet paradigm
LEAD’s innovation is summarised in four axis.
Efficient Operations: Introduce the adoption of Digital Twins in last mile logistics to improve the operation and efficiency of parcel delivery, reduce costs and externalities through forecasting and predictions of future states and support advanced decision making through the entire logistics lifecycle, while also fostering stakeholder participation via reliable real-life information.
Data-driven Decisions: Develop technology enablers for building Digital Twins including modelling, predictive analytics and decision-making methods, and the use of lifecycle-oriented knowledge with historical and real-time operational and city data. A Dynamic Data-Driven Application System (DDDAS) will manage the real-time coordination of models and data, interfacing to digital platforms, APIs and sensors and integrating city data in the models.
Co-Design: The Digital Twins enable the co-design of value cases by suppliers, shippers, policy makers and urban planners, and the development of solutions for integrated systems of logistics/freight operations in urban, metropolitan and peri-urban areas, introducing low-emission, connected/automated delivery vehicles.
Social Impacts: LEAD fosters green consumer behaviour by investigating consumer choices and willingness to pay for green urban freight distribution and introducing an advanced user-centred approach accounting for heterogeneous preferences of players. LEAD proposes, among other techniques, the integration of discrete choice modelling and agent-based modelling to produce a ranking of plausible policies that maximize consensus building whilst minimizing utility losses due to the negotiation process. One can use these results to support real participatory decision-making processes on urban freight-related policies while accounting both for stakeholders’ heterogeneous preferences and for interaction effects.