Evaluation and optimization of residents'satisfaction with slow traffic travel based on SEM-GCM

LI Sizhe; MA Yafeng; LUO Yinghua; LU Qiongyao

doi:10.11860/j.issn.1673-0291.20240137

Abstract：To address shortcomings of insufficient existing slow traffic systems and the lack of targeted optimization strategies,this study explores the impact of various indicators on slow traffic systems.First,based on an in-depth analysis of residents'slow travel behavior,this study designs a question-naire and selects the Honggutan New District of Nanchang as the case study area to perform the satis-faction survey on slow traffic system.Subsequently,hypotheses are developed and continuously re-fined using Structural Equation Modeling(SEM).An evaluation system comprising 20 third-level indi-cators is constructed across four dimensions:safety,convenience,comfort,and empathy.Standard-ized path coefficients are used to determine the weights of the indicators.The weights are then inte-grated into the Grey Clustering Model(GCM)for a comprehensive evaluation,leading to the develop-ment of a SEM-GCM-based model for assessing residents'satisfaction with slow traffic travel.Em-pirical analysis is subsequently conducted to validate the model.Finally,an"Importance-Satisfaction"matrix is constructed based on the analysis of evaluation results.Optimization strategies are proposed for indicators identified as having"high importance but low satisfaction".Results indicate that the over-all satisfaction level of residents with slow traffic travel is Level 4(Satisfied).The most influential third-level indicators are transfer convenience(0.058 8),bus stop coverage(0.058 4),and convenience of non-motorized vehicle parking(0.056 9),highlighting that convenience is the most critical factor,followed by safety,comfort,and empathy.The research findings can provide a valuable reference for enhancing satisfaction levels with slow traffic systems.