Abstract
Aligning with the global emphasis on sustainable development, transportation system sustainability has emerged as a key issue. While existing studies have extensively addressed transportation sustainability, they often concentrate on single or limited aspects, lacking a holistic perspective. This study, from the perspective of Sustainable Development Goals (SDGs), presents the Level of Sustainable Transportation Development (LSTD) in China. A comprehensive assessment framework is established based on the 17 SDGs, particularly referring to six goals related to sustainable transportation systems. The Sparrow Search Algorithm-Projection Pursuit Model (SSA-PPM) is employed to analyze data collected from 30 provinces in China for the period of 2015 to 2020. The findings from this study indicate a steady upward trend in the LSTD across provinces. However, the spatial correlation analysis results demonstrate significant discrepancies between provinces. By examining the interplay among multiple SDGs relating to the LSTD, the study offers policy recommendations. These findings are deemed valuable for both academic research and policy-making, not only in the context of China but also globally.