Cataloging and Assessing City-scale Mobility Data

摘要

In the era of data-driven decision making, the under-utilization of available data sources prevents organizations and corporations from unlocking their full potential and might even threaten their existence. On a city level, public authorities typically have access to numerous heterogeneous data sources, which are either generated by proprietary infrastructure or by collaborating local stakeholders. However, the adaptation to modern trends and adoption of new tools and methodologies by a local authority or even corporation can be overly slow, given the exceedingly complicated nature and sheer size of implementation. To this end, the authors propose an efficient, well-structured methodology towards city-wide data analytics and data-driven decision support systems for the transport sector. The main focus is on the identification and cataloguing of mobility-relevant data sources along with both qualitative and quantitative metadata. Those metadata indicators are used for assessing the quality and appropriateness of data within a) the general context of mobility and b) in relation to specific tasks and objectives. Further, a case study for the city of Thessaloniki is presented, where all the available mobility-relevant data sources have been organized, cataloged and described according to the aforementioned methodology.