Understanding Sofia’s travel dynamics: Study of private traffic patterns and urban mobility
Transportation and mobility provide a foundation for sustainable society, facilitating the efficient movement of people, goods, and services across diverse spatial and temporal scales. They not only support economic activities and enhance social interactions but also enable urban development, global...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | Transportation Research Interdisciplinary Perspectives |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590198225000314 |
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| author | Lidia Lazarova Vitanova Evgeny Shirinyan Tereza Trendafilova Dessislava Petrova-Antonova |
| author_facet | Lidia Lazarova Vitanova Evgeny Shirinyan Tereza Trendafilova Dessislava Petrova-Antonova |
| author_sort | Lidia Lazarova Vitanova |
| collection | DOAJ |
| description | Transportation and mobility provide a foundation for sustainable society, facilitating the efficient movement of people, goods, and services across diverse spatial and temporal scales. They not only support economic activities and enhance social interactions but also enable urban development, global trade, and access to essential resources and opportunities. This study introduces a comprehensive framework for analysing the dynamics of urban transport and travel behaviours related to private vehicles, considering different temporal and spatial dimensions in Sofia, Bulgaria. By integrating high-resolution data from TomTom’s Traffic Stats with Geographic Information Systems (GIS), the study develops an advanced approach that merges various datasets, including traffic flow, density, and energy consumption, thereby facilitating multidimensional assessments of urban challenges at the city level. The significant benefit of this research is its potential for scalability and relevance to other metropolitan areas, especially those encountering comparable issues related to rising urban density, traffic congestion, and environmental pressures. The findings reveal notable traffic fluctuations, with peak congestion during weekday rush hours, particularly concentrated in central business districts and major arterial routes. Persistent congestion areas are also identified on weekdays and weekends, highlighting critical zones requiring infrastructural improvements and optimised traffic management strategies. The results underscore the importance of implementing sustainable urban mobility policies, optimising transport infrastructure, and strategies for climate adaptation. |
| format | Article |
| id | doaj-art-7d4d75bdb065439fb91152dd87297bfb |
| institution | Kabale University |
| issn | 2590-1982 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Transportation Research Interdisciplinary Perspectives |
| spelling | doaj-art-7d4d75bdb065439fb91152dd87297bfb2025-02-12T05:32:44ZengElsevierTransportation Research Interdisciplinary Perspectives2590-19822025-03-0130101352Understanding Sofia’s travel dynamics: Study of private traffic patterns and urban mobilityLidia Lazarova Vitanova0Evgeny Shirinyan1Tereza Trendafilova2Dessislava Petrova-Antonova3Corresponding author at: Sofia University “Big Data for Smart Society” GATE Institute, 5 James Bourchier Blvd., Fl. 2, of. 207, 1164 Sofia, Bulgaria.; GATE Institute, Sofia University “St. Kliment Ohridski”, 1164 Sofia, BulgariaGATE Institute, Sofia University “St. Kliment Ohridski”, 1164 Sofia, BulgariaGATE Institute, Sofia University “St. Kliment Ohridski”, 1164 Sofia, BulgariaGATE Institute, Sofia University “St. Kliment Ohridski”, 1164 Sofia, BulgariaTransportation and mobility provide a foundation for sustainable society, facilitating the efficient movement of people, goods, and services across diverse spatial and temporal scales. They not only support economic activities and enhance social interactions but also enable urban development, global trade, and access to essential resources and opportunities. This study introduces a comprehensive framework for analysing the dynamics of urban transport and travel behaviours related to private vehicles, considering different temporal and spatial dimensions in Sofia, Bulgaria. By integrating high-resolution data from TomTom’s Traffic Stats with Geographic Information Systems (GIS), the study develops an advanced approach that merges various datasets, including traffic flow, density, and energy consumption, thereby facilitating multidimensional assessments of urban challenges at the city level. The significant benefit of this research is its potential for scalability and relevance to other metropolitan areas, especially those encountering comparable issues related to rising urban density, traffic congestion, and environmental pressures. The findings reveal notable traffic fluctuations, with peak congestion during weekday rush hours, particularly concentrated in central business districts and major arterial routes. Persistent congestion areas are also identified on weekdays and weekends, highlighting critical zones requiring infrastructural improvements and optimised traffic management strategies. The results underscore the importance of implementing sustainable urban mobility policies, optimising transport infrastructure, and strategies for climate adaptation.http://www.sciencedirect.com/science/article/pii/S2590198225000314TransportTraffic patternsGeographic Information Systems (GIS)TomTom private vehicle data |
| spellingShingle | Lidia Lazarova Vitanova Evgeny Shirinyan Tereza Trendafilova Dessislava Petrova-Antonova Understanding Sofia’s travel dynamics: Study of private traffic patterns and urban mobility Transportation Research Interdisciplinary Perspectives Transport Traffic patterns Geographic Information Systems (GIS) TomTom private vehicle data |
| title | Understanding Sofia’s travel dynamics: Study of private traffic patterns and urban mobility |
| title_full | Understanding Sofia’s travel dynamics: Study of private traffic patterns and urban mobility |
| title_fullStr | Understanding Sofia’s travel dynamics: Study of private traffic patterns and urban mobility |
| title_full_unstemmed | Understanding Sofia’s travel dynamics: Study of private traffic patterns and urban mobility |
| title_short | Understanding Sofia’s travel dynamics: Study of private traffic patterns and urban mobility |
| title_sort | understanding sofia s travel dynamics study of private traffic patterns and urban mobility |
| topic | Transport Traffic patterns Geographic Information Systems (GIS) TomTom private vehicle data |
| url | http://www.sciencedirect.com/science/article/pii/S2590198225000314 |
| work_keys_str_mv | AT lidialazarovavitanova understandingsofiastraveldynamicsstudyofprivatetrafficpatternsandurbanmobility AT evgenyshirinyan understandingsofiastraveldynamicsstudyofprivatetrafficpatternsandurbanmobility AT terezatrendafilova understandingsofiastraveldynamicsstudyofprivatetrafficpatternsandurbanmobility AT dessislavapetrovaantonova understandingsofiastraveldynamicsstudyofprivatetrafficpatternsandurbanmobility |