Citation

Cerqueira S, Arsenio E, Henriques R. Eur. Transp. Res. Rev. 2021; 13(1): e60.

Copyright

(Copyright © 2021, European Conference of Transport Research Institutes, Publisher Holtzbrinck Springer Nature Publishing Group)

DOI

10.1186/s12544-021-00519-w

PMID

unavailable

Abstract

European cities are placing a larger emphasis on urban data consolidation and analysis for optimizing public transport in response to changing urban mobility dynamics. Despite the existing efforts, traffic data analysis often disregards vital situational context, including large-scale events, weather factors, traffic generation poles, social distancing norms, or traffic interdictions. Some of these sources of context data are still private, dispersed, or unavailable for the purpose of planning or managing urban mobility. Addressing the above observation, the Lisbon city Council has already established efforts for gathering historic and prospective sources of situational context in standardized semi-structured repositories, triggering new opportunities for context-aware traffic data analysis.

Language: en

Keywords

Big data; Data science; Multimodality; Public transport; Situational context; Sustainable mobility