Statistical Methodology for Longitudinal Harmonization of Metropolitan Boundaries in Urban Research

Comparative urban research in the United States faces persistent challenges due to the shifting geographic and definitional parameters of metropolitan areas over time. Disparities in metropolitan statistical area (MSA) delineations hamper the precision and reliability of longitudinal analyses. This research examines the drawbacks of conventional techniques and proposes a city-focused protocol based on a new geographical dataset. This strategy prioritizes the metropolitan area as the primary unit of research, lowering spatial error, particularly the recently identified "spanning error," and enhancing longitudinal consistency. This study shows how city-centric definitions incorporate both static and dynamic metropolitan borders from 1980 to 2020 by including methodological advances, decision criteria, and recoding techniques. The findings show significant progress in reducing prejudice and enabling more thorough, policy- relevant urban assessments. The discussion looks at methodological advantages, recurring challenges, and recommendations for future comparative urban research, focusing on data justice and the development of urban theory. This analysis emphasizes the importance of continuous methodological improvement and increasing stakeholder participation in the development of urban data for research, planning, and policy making.