To　study　the　driving　characteristics　of　air　conditioning　behavior,　a　field　survey　study　was　carried　out　in　28　dormitory　rooms　during　the　summer　in　2016　in　Beijing.　Indoor　temperature,　humidity,　occupants＇　presences　at　their　rooms　and　their　actions　on　air　conditioners　were　measured.　A　questionnaire　survey　was　conducted　to　investigate　the　driving　forces　of　occupants＇　actions　to　turn　on　or　turn　off　room　air　conditioners.　The　field　survey　data　was　grouped　based　on　the　driving　forces　to　trigger　air　conditioning　behaviors,　and　individual　driving　characteristics　of　air　conditioning　behavior　were　described　as　probability　with　driving　force　together　with　the　characteristic　parameters　using　an　action-based　behavior　model.　Moreover,　driving　characteristic　parameters　were　analyzed　and　probability　curves　were　subdivided　under　different　driving　forces.　Two　to　four　new　probability　curves　were　developed　and　the　corresponding　characteristic　parameters　were　determined　for　each　subdivision　under　different　driving　forces,　which　presented　a　quantitative　description　about　driving　characteristics　of　air　conditioning　level　at　group　level.　The　results　in　this　study　are　useful　for　further　study　of　driving　characteristics　of　air　conditioning　behavior　on　a　large　scale.　©　2018,　Editorial　Board　of　Journal　of　Harbin　Institute　of　Technology.　All　right　reserved.