Tools for Mobility Analysis: What are the challenges and solutions for planning and operations of mobility services?

Pereira, Andre Maia; Hykšová, Magdalena; Přibyl, Ondřej; Maerivoet, Sven; Overvoorde, Rick; Paruscio, Valerio; Mylonas, Chrysostomos; Vega, Carola; Recolons, Pablo; Covelli, Christina; Nomes, Eli

doi:10.1109/scsp54748.2022.9792558

Cited by 1 publication

(1 citation statement)

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“…Kourtzanidis et al [36] report on a new framework for globally assessing the footprint of smart city projects, including the necessary methods for standardization, weighting, and aggregation of KPIs. The model proposed by Pereira et al [37] links mobility terms to show flexible, multidimensional relationships, thus demonstrating that transportation services cannot be considered separately within the smart city. Larrinaga [38] provides a holistic architecture that integrates different urban measures in the city of Vitoria-Gasteiz.…”

Section: Literature Reviewmentioning

confidence: 99%

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

Soriano-Gonzalez,

Perez-Bernabeu,

Ahsini

et al. 2023

Logistics

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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.

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Section: Literature Reviewmentioning

confidence: 99%