Developing a Smart City Logistics Assessment Framework (SCLAF): A Conceptual Tool for Identifying the Level of Smartness of a City Logistics System

Elpida Xenou, Michael Madas and Georgia Ayfandopoulou
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Elpida Xenou: Department of Applied Informatics, School of Information Sciences Information Systems and e-Business Laboratory (ISeB), University of Macedonia, Egnatia 156 Str., 54636 Thessaloniki, Greece
Michael Madas: Department of Applied Informatics, School of Information Sciences Information Systems and e-Business Laboratory (ISeB), University of Macedonia, Egnatia 156 Str., 54636 Thessaloniki, Greece
Georgia Ayfandopoulou: Centre for Research and Technology Hellas, Hellenic Institute of Transport, 6th km Charilaou Thermi, 57001 Thessaloniki, Greece

Sustainability, 2022, vol. 14, issue 10, 1-18

Abstract: One of the main building blocks for sustainable cities is the development and efficient operation of a viable and sustainable city logistics system. City logistics exhibit several practical complications due to the conflicting interests of multiple actors involved, as well as the vague role or reluctant involvement of the public sector. Despite the plethora of innovative city logistics initiatives developed in European cities and European policy priorities towards the promotion of smart cities, little is known about the level of smartness of city logistics systems in Europe. In response to that, this paper proposes a conceptual multi-criteria and multi-assessment framework as a guidance tool for city planners, aiming to support the in-depth understanding of the main components of a smart city logistics ecosystem and facilitate the self-assessment of a city’s level of smartness. The proposed framework represents a four-level hierarchical assessment pyramid involving four main impact areas: (i) smart governance, (ii) smart economy, (iii) smart actors, and (iv) smart environment. A more in-depth analysis of each impact area is separately conducted by deconstructing the impact areas in specific criteria, sub-criteria, and KPIs. This paper presents in detail the methodology followed and the main components of this tool.

Keywords: assessment framework; smart city logistics; city logistics planning (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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