Lan, Wu, Sun, Cheng, Shi, Zeng, Zhang and Pen – ASSESSING THE SUITABILITY OF FRACTAL DIMENSION FOR MEASURING GRAPHIC COMPLEXITY CHANGE IN SCHEMATIC METRO NETWORKS 2024

Description

This concise, 16-page research article, freshly published in January 2024 in the peer-reviewed International Journal of Geo-Information (MDPI), offers a significant contribution to cartography and GIScience. Authored by a collaborative team from Southwest Jiaotong, East China Normal, and Hubei Universities, it demonstrates robust academic rigor. The study investigates the suitability of fractal dimension (F) as a quantitative metric for graphic complexity changes in schematic metro networks, utilizing box-counting methods on 26 diverse Chinese metro systems. Supported by numerous illustrative figures, detailed tables, and rigorous statistical analysis including bootstrapping, the findings are highly reliable, with strong R-squared values and positive confidence intervals for correlations. Crucially, its conclusions—that F accurately measures complexity reduction in schematization and aligns with subjective user perceptions—provide a vital, quantifiable basis for evaluating future schematization methods.