A Data Quality Framework on Urban Vehicle Access Regulations

Urban Vehicle Access Regulations (UVARs) are policy measures aimed at regulating vehicle access in urban areas, considering criteria such as emission standards, vehicle classifications, and time-based restrictions. UVARs are crucial when pursuing environmental and traffic management objectives. While there have been relevant endeavours in digitising those regulations, the lack of harmonised quality definitions and assessment methods hinders the effective reuse of UVAR data by service providers. This paper addresses this gap by developing a Data Quality Framework (DQF) for UVARs, under the umbrella of the NAPCORE project. The framework was built by tailoring general data quality dimensions to UVAR-specific needs, defining a set of criteria and metrics, and introducing a method to compute quality indicators. It comprises eight quality dimensions, 12 criteria, and 15 metrics, and was tested through a case study using a real-world Low Emission Zone (LEZ) dataset from the city of Lisbon (Portugal). Despite some limitations, the framework offers a flexible approach for assessing and improving the quality of UVAR datasets, setting the ground for higher availability of UVAR data and facilitating its reuse and delivery to commuters, thereby contributing to urban mobility goals.