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Title: Developing a Smart City Logistics Assessment Framework (SCLAF): A Conceptual Tool for Identifying the Level of Smartness of a City Logistics System
Authors: Xenou, Elpida
Madas, Michael
Ayfandopoulou, Georgia
Type: Article
Subjects: FRASCATI::Social sciences::Economics and Business::Business and Management
Keywords: assessment framework
smart city logistics
city logistics planning
Issue Date: 2022
Source: Sustainability
Volume: 14
Issue: 10
First Page: 6039
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.
ISSN: 2071-1050
Other Identifiers: 10.3390/su14106039
Appears in Collections:Department of Applied Informatics

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