Analyzing Key Performance Indicators for Mobility Logistics in Smart and Sustainable Cities: A Case Study Centered on Barcelona

Raquel Soriano-Gonzalez, Elena Perez-Bernabeu, Yusef Ahsini, Patricia Carracedo, Andres Camacho and Angel A. Juan ()
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Raquel Soriano-Gonzalez: Research Center on Production Management and Engineering, Universitat Politècnica de València, Ferrandiz-Carbonell, 03802 Alcoy, Spain
Elena Perez-Bernabeu: Research Center on Production Management and Engineering, Universitat Politècnica de València, Ferrandiz-Carbonell, 03802 Alcoy, Spain
Yusef Ahsini: Research Center on Production Management and Engineering, Universitat Politècnica de València, Ferrandiz-Carbonell, 03802 Alcoy, Spain
Patricia Carracedo: Research Center on Production Management and Engineering, Universitat Politècnica de València, Ferrandiz-Carbonell, 03802 Alcoy, Spain
Andres Camacho: Department of Communications, Universitat Politècnica de València, Ferrandiz-Carbonell, 03802 Alcoy, Spain
Angel A. Juan: Research Center on Production Management and Engineering, Universitat Politècnica de València, Ferrandiz-Carbonell, 03802 Alcoy, Spain

Logistics, 2023, vol. 7, issue 4, 1-20

Abstract: Background : This article identifies and examines key performance indicators (KPIs) related to citizen mobility logistics in smart and sustainable urban areas. It begins with a comprehensive literature review to identify essential KPIs, offering valuable insights for both public and private stakeholders, including policymakers and mobility service providers. Drawing from various mobility projects in smart cities, the study extracts common KPIs and best practices. The focus of the paper then turns to Barcelona, Spain, where KPIs that matter most are analyzed. Methods : Using open data from the city council spanning from 2017 onwards, the study provides insights into the evolving mobility logistics landscape. KPIs from other European cities are also considered by utilizing similar open data sources. This comparative analysis provides valuable benchmarks and reveals disparities in mobility logistics. Throughout this investigation, the paper emphasizes the role of data quality in KPI selection. Results : Reliable open data significantly influence indicator choices and present challenges when comparing cities. Remarkably, the findings consistently highlight environmental data as an area requiring attention in sustainable mobility logistics. Conclusions : This paper makes contributions by identifying and examining KPIs relevant to citizen mobility logistics in smart and sustainable urban areas. It offers insights by applying these KPIs to Barcelona and conducting comparative analyses with other European cities. These findings serve as a valuable resource for policymakers, city planners, and mobility experts.

Keywords: logistics and transportation; smart city mobility; key performance indicators; data analytics (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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