Urban Parking Dynamics: One-Day Surveys for Long-Term Unused Vehicles - Part 2

Following up on previous research into parking survey methodologies, this study deals with the question of whether single-day surveys can reliably reflect long-term parking behavior. Utilizing an extensive 2024 dataset from a medium-sized Czech municipality, we compare short-term (1-day) and extended (4-day) survey results across diverse urban environments-including high-density, low-density, and mixed-use areas. The research aims to (i) reassess the prevalence of unused cars over different time spans, (ii) explore correlations between short-term parking data and factors such as population density and urban typology, and (iii) evaluate the ratio of unused cars in other environments, overall evaluating the potential for a simplified, cost-effective survey approach that remains methodologically robust. By integrating AI-assisted data collection with rigorous statistical analyses, our findings refine and extend earlier studies, establishing new connections between short-term observations and long-term parking dynamics.