Formulating　policies　tailored　to　urban　low-carbon　development　phases　and　resident　characteristics　is　essential　for　optimizing　incentive　structures　and　promoting　green　mobility.　This　study　evaluates　new　energy　vehicle　(NEV)　incentive　strategies　across　four　city　categories,　considering　factors　such　as　air　quality,　NEV　penetration,　and　charging　infrastructure　maturity.　It　analyzes　social　media　data　using　the　Latent　Dirichlet　Allocation　(LDA)　model　and　designs　user　surveys.　A　Latent　Class　Ordered　Logit　Model　(LCOL)　is　employed　to　assess　different　urban　populations＇　preferences　for　vehicle　electrification　incentives,　identifying　key　impacted　groups.　The　results　indicate　that　immediate　incentives,　such　as　driving　ban　exemptions　and　significant　fiscal　subsidies,　effectively　enhance　the　purchasing　intent　of　NEVs　among　less　receptive　residents.　Conversely,　more　receptive　residents　respond　better　to　regular,　smaller　subsidies.　Cities　with　low　NEV　penetration　exhibit　a　higher　probability　of　purchasing　under　incentives,　highlighting　greater　potential　for　improvement.　Enhancing　charging　infrastructure　significantly　boosts　purchasing　intentions　in　infrastructure-deficient　cities,　with　a　1%　increase　in　likelihood　for　every　minute　reduction　in　charging　time.　However,　this　effect　diminishes　in　cities　with　extensive　charging　networks.　In　metropolises　with　vehicle　access　restrictions,　exempting　NEVs　from　these　increases　purchasing　probabilities　by　3.5%.　These　insights　guide　NEV　promotional　strategy　development　in　diverse　urban　settings.　©　2025　Science　Press.　All　rights　reserved.