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Pregled bibliografske jedinice broj: 1138783

Data-Driven Methodology for Sustainable Urban Mobility Assessment and Improvement


Šoštarić, Marko; Vidović, Krešimir; Jakovljević, Marijan; Lale, Orsat
Data-Driven Methodology for Sustainable Urban Mobility Assessment and Improvement // Sustainability, 13 (2021), 13; 7162, 22 doi:10.3390/su13137162 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1138783 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Data-Driven Methodology for Sustainable Urban Mobility Assessment and Improvement

Autori
Šoštarić, Marko ; Vidović, Krešimir ; Jakovljević, Marijan ; Lale, Orsat

Izvornik
Sustainability (2071-1050) 13 (2021), 13; 7162, 22

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
transport planning ; big data ; data science ; toolbox ; transport adjustment ; modal shift

Sažetak
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 urban mobility policy creation. The paper presents a development of a methodology in data rich reality that combines traditional and novel data science approach for transport system analysis and planning. The result is overall process consisting of 150 steps from first desktop research to final solution development. It enables urban mobility stakeholders to identify transport problems, analyze the urban mobility situation and to propose dedicated measures for sustainable urban mobility strengthening. The methodology is based on a big data research and analysis on anonymized big data sets originating from mobile telecommunication network, where the extraction of mobility data from the big dataset is the most innovative part of the proposed process. The extracted mobility data were validated through a “conventional” field research. The methodology was, for additional testing, applied in a pilot study, performed in the City of Rijeka in Croatia. It resulted in a set of alternative measures for modal shift from passenger cars to sustainable mobility modes, that were validated by the local public and urban mobility stakeholders

Izvorni jezik
Engleski

Znanstvena područja
Tehnologija prometa i transport



POVEZANOST RADA


Ustanove:
Ericsson Nikola Tesla d.d.,
Fakultet prometnih znanosti, Zagreb

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada doi www.mdpi.com

Citiraj ovu publikaciju:

Šoštarić, Marko; Vidović, Krešimir; Jakovljević, Marijan; Lale, Orsat
Data-Driven Methodology for Sustainable Urban Mobility Assessment and Improvement // Sustainability, 13 (2021), 13; 7162, 22 doi:10.3390/su13137162 (međunarodna recenzija, članak, znanstveni)
Šoštarić, M., Vidović, K., Jakovljević, M. & Lale, O. (2021) Data-Driven Methodology for Sustainable Urban Mobility Assessment and Improvement. Sustainability, 13 (13), 7162, 22 doi:10.3390/su13137162.
@article{article, author = {\v{S}o\v{s}tari\'{c}, Marko and Vidovi\'{c}, Kre\v{s}imir and Jakovljevi\'{c}, Marijan and Lale, Orsat}, year = {2021}, pages = {22}, DOI = {10.3390/su13137162}, chapter = {7162}, keywords = {transport planning, big data, data science, toolbox, transport adjustment, modal shift}, journal = {Sustainability}, doi = {10.3390/su13137162}, volume = {13}, number = {13}, issn = {2071-1050}, title = {Data-Driven Methodology for Sustainable Urban Mobility Assessment and Improvement}, keyword = {transport planning, big data, data science, toolbox, transport adjustment, modal shift}, chapternumber = {7162} }
@article{article, author = {\v{S}o\v{s}tari\'{c}, Marko and Vidovi\'{c}, Kre\v{s}imir and Jakovljevi\'{c}, Marijan and Lale, Orsat}, year = {2021}, pages = {22}, DOI = {10.3390/su13137162}, chapter = {7162}, keywords = {transport planning, big data, data science, toolbox, transport adjustment, modal shift}, journal = {Sustainability}, doi = {10.3390/su13137162}, volume = {13}, number = {13}, issn = {2071-1050}, title = {Data-Driven Methodology for Sustainable Urban Mobility Assessment and Improvement}, keyword = {transport planning, big data, data science, toolbox, transport adjustment, modal shift}, chapternumber = {7162} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • Social Science Citation Index (SSCI)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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