By utilizing traditional data collection methods such as strategic document analysis, traffic counting, traffic flow monitoring, and surveys, along with the analysis of anonymized datasets, zones dominated by environmentally unacceptable and energy-inefficient forms of mobility will be identified.

Specifically, pairs of origin-destination zones with an above-average share of private car usage for daily travel have been identified in the city of Rijeka. Through a more detailed analysis of these pairs, potential measures from the domain of urban mobility have been identified to encourage the transition to sustainable travel between the identified zones, using means such as railways, bus public transport, cable cars, conventional or electric bicycles, and similar. The proposed measures were presented to citizens and stakeholders of the transportation system who could evaluate them, prioritize them, and provide valuable feedback.

Upon completion of the project, the City of Rijeka gained a new strategic basis for implementing measures in the field of urban mobility that can significantly improve the city’s transportation system and direct it towards the use of sustainable forms of mobility. The results of the analyses are also available on the City of Rijeka’s open data portal, and academic stakeholders have the opportunity to use the new methodology in the Data Science in Transportation and Logistics Laboratory jointly established by the Faculty of Transport and Traffic Sciences, University of Zagreb, and Ericsson Nikola Tesla.