2021
DOI: 10.3390/su13137162
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Data-Driven Methodology for Sustainable Urban Mobility Assessment and Improvement

Abstract: 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 areas, is a dynamic process, which is why transport planners are in need of a proven and validated methodology for fast and efficient transport data collection, fusion and analytics that will be used in sustainable ur… Show more

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Cited by 14 publications
(6 citation statements)
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“…On the other hand, Sostaric et al (2021) [37] introduced "Data-Driven Methodology for Sustainable Urban Mobility Assessment and Optimization". This study proposes a datadriven methodology for assessing and optimizing the sustainability of urban mobility, based on big data analysis of anonymized data sets from mobile telecommunication networks.…”
Section: Literature Review and State Of The Artmentioning
confidence: 99%
“…On the other hand, Sostaric et al (2021) [37] introduced "Data-Driven Methodology for Sustainable Urban Mobility Assessment and Optimization". This study proposes a datadriven methodology for assessing and optimizing the sustainability of urban mobility, based on big data analysis of anonymized data sets from mobile telecommunication networks.…”
Section: Literature Review and State Of The Artmentioning
confidence: 99%
“…Regmi [38] used four Asian cities as experimental cases for the assessment of urban mobility. Šoštarić et al [39] described the creation of a data-driven framework for the assessment and improvement of sustainable urban mobility.…”
Section: Urban Mobility Assessmentmentioning
confidence: 99%
“…What we have described is a typical trade-off. On the one hand, we need mobility data to further develop our society to meet current challenges, especially for fighting climate change [44,66]; on the other hand, we urge companies and governments to protect our privacy better.…”
Section: Introductionmentioning
confidence: 99%