Spatial participatory planning for urban logistics: A GIS-enhanced Real-Time Spatial Delphi approach

Nadia Giuffrida, Yuri Calleo, Simone Di Zio, Francesco Pilla and Michele Ottomanelli

Research in Transportation Economics, 2024, vol. 108, issue C

Abstract: Effective urban logistics planning plays a crucial role in effectively managing infrastructure and transportation networks, contributing to the mitigation of negative externalities associated with last-mile deliveries and fostering city sustainability. Among the various facets of supply chain management, selecting appropriate locations in urban areas for logistics facilities, such as automated parcel lockers and smart loading bays, stands out. However, the complexity of decision-making in this context, involving diverse stakeholders with potential conflicting objectives, poses a significant challenge in reaching a common consensus. This paper proposes an innovative approach to address this issue by adopting a spatial participatory process that combines GIS models and Real-Time Spatial Delphi to identify suitable locations for two logistic facilities. The case study is the city of Dublin (Ireland), where an Urban Living Lab of the H2020 project SENATOR is based. A modified Delphi is used, first gathering expert opinions on preferences and objectives. These insights are then used to develop a spatial analysis using GIS, ranking areas according to the expert preferences. These outcomes form the basis for the Real-Time Spatial Delphi, where stakeholders and experts working on the project collaboratively engage to achieve a spatial consensus on the territory. The findings of this study provide valuable information for stakeholders, policymakers, local authorities, and governmental bodies to implement specific actions. Through the active involvement of key actors in the decision-making process, this approach ensures that the selected locations for logistics facilities align with the needs of all parties involved.

Keywords: Urban logistics; Loading bay; Parcel lockers; Real-time spatial Delphi; Public participation (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1016/j.retrec.2024.101488

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