In-depth　analysis　of　pedestrian　movement　behavior　on　staircases　and　escalators　can　significantly　improve　their　operation　efficiency　and　safety.　However,　compared　with　stairs,　researchers　have　generally　given　little　attention　to　pedestrian　movement　on　escalators.　In　this　paper,　we　conduct　a　case　study　to　extract　the　physical　attributes　of　the　escalator,　the　pedestrians’　microscopic　movement　characteristics,　and　the　macro-level　pedestrian　flow　dynamics　on　the　escalator　of　Beihang　University＇s　canteen.　Using　the　data,　we　establish　a　step-length-based　CA　model　to　represent　the　pedestrian　movement　across　the　escalator.　The　CA　model　can　effectively　render　the　pedestrian＇s　grouping　formation　and　walking　characteristics　at　the　micro-level　and　describe　the　pedestrian　flow　at　the　macro-level.　Through　simulations,　we　quantitatively　analyze　some　widely　used　pedestrian　guidance　strategies　on　escalators　(e.g.,　the　＇walk　left,　stand　right＇　rule,　changing　the　grouping　formation).　The　results　may　have　bearing　on　real-life　escalator　management.　©　2022　Elsevier　B.V.