Scientific　method　measuring　pedestrian　level　of　service　(LOS)　on　sidewalks　can　provide　a　powerful　theoretical　support　for　a　comfort　walking　trip　environment.　Aiming　at　the　characteristics　that　pedestrian　LOS　is　a　orderly　discrete　variable,　this　paper　proposed　an　evaluation　method　for　pedestrian　LOS,　based　on　the　orderly　Logistic　regression　model.　First,　pedestrians＇　satisfaction　questionnaire　survey　was　conducted　on　34　representative　sidewalks　in　Beijing　transportation　hub　areas.　Typical　and　comprehensive　data　were　obtained.　Then　fuzzy　C　mean　clustering　was　used　to　get　the　correspondence　between　pedestrians＇　satisfaction　and　the　LOS.　Finally,　the　significant　influencing　factors　were　extracted　with　step-regression　method　and　their　influencing　mechanism　was　analyzed.　And　then　the　orderly　Logistic　regression　model　for　pedestrian　LOS　was　formulated.　The　field　tast　proved　that　the　model　has　higher　accuracy　than　the　traditional　linear　model.　©,　2014,　Science　Press.　All　right　reserved.