In　this　paper,　an　innovative　fuzzy　group　decision-making　model　is　designed　for　assessing　regional　transportation　sustainability,　focusing　on　the　correlation　between　various　attributes　of　the　evaluation　system.　The　focus　of　this　model　is　the　partitioned　Maclaurin　symmetric　mean　operator　because　of　its　better　applicability　when　considering　attribute　correlation　and　attribute　grouping.　The　modified　spherical　fuzzy　partitioned　Maclaurin　symmetric　mean　operator　is　proposed,　which　has　superior　application　scope.　Its　weighted　form　and　special　cases　are　discussed.　Then,　the　extended　statistical　variance　method　and　the　evidence-based　Bayes　approximation　method　are　used　to　obtain　weight　vectors　of　attributes　and　experts.　In　addition,　a　fuzzy　assessment　model　of　sustainable　transportation　is　developed.　Finally,　a　numerical　example　of　regional　transportation　sustainability　assessment　and　a　comparison　with　previous　studies　are　presented　to　illustrate　the　feasibility　and　universality　of　this　method.