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Evaluation and improvement of a slow traffic system in a cold regional campus based on travel satisfaction

Zhang Jiaxin, Sun Xiaohui, Liu Jincheng, Guliziba Aimaiti

Transport Problems

2025

T. 20, z. 1

99--110

This study establishes a Bayesian-structural equation model based on the travel satisfaction survey at the Boda Campus of Xinjiang University to construct and optimize the slow traffic system of campus in cold regions. Moreover, relevant indicators are selected to construct the evaluation system of the campus’s slow traffic system in cold regions. Then, strategies are proposed to optimize the campus’s slow traffic system according to the key elements highlighted by the evaluation system. The results show that subjective emotion and perceived time have a great influence on travel satisfaction. The connectivity and density of the walking and cycling network, anti-skid performance of the road surface, canopy amount, and parking/pick-up convenience of shared bicycle sites substantially influence the construction of campuses’ slow traffic systems in cold regions. The score of the optimized campus’s slow traffic system increased by 72.10% compared with that of the pre-optimized system.