This study takes the renovation project of Shenyang's back streets and alleys as the research object.Through summa-rizing relevant literature,8 latent variable indicators,including public infrastructure,traffic function,green landscape,historical and cultural,architectural renovation,road safety,and overall satisfaction,as well as 26 observable variables,are selected to con-struct an indicator system for the influencing factors of back street and alley renovation.Ten completed back streets and alleys in Shenyang are selected as the research object,Through on-site questionnaire survey,reliability and validity analysis and explorato-ry factor analysis were conducted on the questionnaire data using SPSS software.After conducting model fitting goodness test and model correction using AMOS,the evaluation of the renovation of Shenyang's back streets and alleys was completed,and a structural equation model of the back streets and alleys was constructed and relevant suggestions were proposed.
Structural EquationBack Streets and AlleysInfluencing FactorsAMOS