Data-Driven Methodology for Sustainable Urban Mobility Assessment and Improvement

Data-Driven Methodology for Sustainable Urban Mobility Assessment and Improvement

The transport system is sensitive to external influences generated by various economic, social and environmental changes. The society and the environment are changing extremely fast, resulting in the need for rapid adjustment of the transport system. Traffic system management, especially in urban ar...

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Bibliographic Details
Main Authors: Marko Šoštarić, Krešimir Vidović, Marijan Jakovljević, Orsat Lale
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sustainability
Subjects:
transport planning
big data
data science
toolbox
transport adjustment
modal shift
Online Access:https://www.mdpi.com/2071-1050/13/13/7162

Internet

https://www.mdpi.com/2071-1050/13/13/7162

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