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DATA-DRIVEN TREND ANALYSIS ON SUSTAINABLE AND SMART MOBILITY IN ITALY

  • University of Palermo

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

This paper presents a data-driven trend analysis of sustainable, shared, and zero-crash mobility within the Italian context, serving as a starting point for research aimed at assessing the current level of knowledge regarding novel mobility concepts and challenges. A pilot sample of 30 respondents over the age of 60 years old was selected for the prototype survey interview conducted to evaluate their knowledge and perceptions concerning the transition towards sustainable and smart mobility. Key findings from the interviews provided valuable insights into older adults' understanding of the topic and their expectations, offering a foundation for future policies and inclusive initiatives to contextualize Italian experiences within global trends in sustainable mobility for urban planners and policymakers.

Original languageEnglish
Pages (from-to)75-95
Number of pages21
JournalScientific Journal of Silesian University of Technology. Series Transport
Volume129
DOIs
Publication statusPublished - 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • cities
  • road infrastructure
  • smart mobility
  • survey interview
  • sustainability

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Automotive Engineering
  • Aerospace Engineering
  • Transportation
  • Mechanical Engineering

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