Coordinated Optimization of Built Environment and Traffic System State Based on GWR–DEA Model

作者：Hanlin Zhao, Guoqing Fan, Tian Li, Shuqi Liu, Changxing Li, Yifan Li, Mengmeng Zhang · 发表于：Journal of Advanced Transportation · 年份：2026 · DOI：10.1155/atr/1469973 · 研究领域：Efficiency Analysis Using DEA、Traffic control and management、Urban Transport and Accessibility

Escalating urban traffic problems are impeding city development, underscoring the critical need to better coordinate built environments (BEs) with traffic system states (TSSs). However, the efficiency measurements in the current data envelopment analysis (DEA) model exhibit excessive dependence on input and output data. The determination of weight constraints is also based on subjective judgment. This causes the varying impacts of critical and noncritical indicators on interaction dynamics to be ignored. This study introduces an enhanced DEA model with spatially adaptive weights calibrated by geographically weighted regression (GWR). We propose a TSS indicator that integrates three critical dimensions: traffic efficiency, traffic safety, and travel comfort. In this study, Jinan City is selected as the research area. The coordination assessments refined by incorporating constraints reveal significant disparities: 7.66% are fully coordinated and 63.7% show coordinated conditions, while 28.61% exhibit limited or no coordination. Compared to conventional DEA, the GWR–DEA model demonstrates marginally improved performance, validating the effectiveness of optimized weighting constraints in spatial coordination analysis.