Airport　connectivity　travel　is　the　last　mile　of　the　air　travel　process.　The　characteristics　of　different　connectivity　travel　modes　are　key　factors　influencing　air　passengers＇　choices.　However,　the　arriving　passengers＇　subjective　expectations　and　satisfaction　levels　differ　significantly　across　these　modes.　Therefore,　considering　differences　in　satisfaction　of　passengers　with　connectivity　services,　the　study　conducts　a　questionnaire　survey　at　Beijing　Capital　International　Airport　and　Beijing　Daxing　International　Airport,　and　542　valid　questionnaires　are　obtained.　Arriving　passengers＇　satisfaction　with　different　modes　was　measured　based　on　the　structural　equation　model.　The　latent　profile　analysis　was　utilized　to　classify　into　different　categories　considering　their　satisfaction　levels.　A　new　model,　the　scale-adjusted　latent　class　model　based　on　Random　Regret　Minimization　(RRM),　is　established,　using　passengers＇　satisfaction　categories　as　a　scale　parameter　to　analyze　the　impact　of　satisfaction　differences　on　connectivity　travel　mode　choices.　The　results　show　that　there　are　two　primary　satisfaction　categories,　one　group　has　high　satisfaction　with　metro　(HSM)　and　the　other　has　high　satisfaction　with　car-hailing　(HSC).　Passengers＇　preference　heterogeneity　is　revealed　and　can　be　divided　into　three　classes,　avoiding-transfer　(ATC),　cost-　sensitive　(CSC),　and　time-sensitive　(TSC).　Waiting　time,　comfort　degree,　travel　out-of-pocket　expenses　(OPE),　and　transfer　convenience　significantly　influence　mode　choice　behavior　of　TSC.　The　CSC　would　be　more　concerned　about　the　OPE.　ATC　emphasizes　the　transfer　convenience.　Strategies　to　enhance　satisfaction　with　connectivity　services　are　suggested,　aiming　to　optimize　the　last　mile　of　intercity　travel　and　promote　efficient　urban　transportation　operations.