Characterization of urban mobility in Bogotá: A spatial autocorrelation analysis

Abstract

This paper studies the variables influencing urban mobility in Bogotá's Urban Planning Zones (UPZs) through spatial autocorrelation analysis. Initially, data from various databases were compiled, covering 13 variables across 111 UPZs. A descriptive analysis identified significant variables, revealing a positive skewness trend. Higher social strata (4, 5, and 6) correlated with better mobility indices and more automobiles per family. The Moran Index showed strong spatial autocorrelation in mobility indices, indicating that nearby UPZs have similar mobility patterns. Areas like Suba and Usaquén, with better infrastructure, showed higher mobility indices, while Ciudad Bolívar and Usme had poor infrastructure and low mobility. The study highlights the correlation between mobility and factors like social strata, automobile numbers, and infrastructure, providing a foundation for future transport and urban planning policies.