Public　support　is　crucial　for　the　successful　implementation　of　congestion　charging　schemes.　The　Tradable　Credits　Scheme　(TCS),　a　novel　concept　built　upon　the　cap-and-trade　principle,　is　believed　to　possess　qualities　of　effectiveness　and　fairness　that　should　lead　to　greater　public　approval.　This　study　investigates　the　level　of　acceptance　of　TCS　among　the　public　and　its　impact　on　the　propensity　to　shift　travel　modes　in　the　TCS　framework.　In　this　study,　we　used　the　Theory　of　Planned　Behavior,　encompassing　components　such　as　attitudes　toward　TCS,　subjective　norms　and　perceived　behavioral　control　and　assessed　the　perceived　effectiveness　and　equity　of　TCS.　Data　were　acquired　through　an　online　survey　involving　544　participants　in　China.　The　findings　indicate　that　public　acceptance　of　TCS　is　significantly　influenced　by　subjective　norms　and　attitudes　toward　TCS.　In　turn,　behavioral　intention　is　indirectly　shaped　by　these　factors,　with　acceptance　serving　as　a　mediator.　Perceived　behavioral　control　exerts　a　direct　influence　on　behavioral　intention,　while　perceived　effectiveness　and　equity　positively　impact　both　the　acceptance　of　TCS　and　behavioral　intention.　Moreover,　latent　profile　analysis　was　used　to　determine　the　influence　of　various　factors　on　TCS　acceptance,　following　which　we　categorized　the　participants　into　four　distinct　groups.　The　results　show　that　age,　city　scale,　income,　holding　a　driving　license　or　not,　car　ownership,　necessity　through　congested　areas,　main　transportation　modes,　and　the　frequency　of　using　different　travel　modes　all　affect　the　distribution　of　individuals　in　support　or　rejection　groups　Notably,　over　one-third　of　participants　express　TCS　acceptance,　with　most　holding　a　neutral　stance,　indicative　of　TCS＇s　potential　for　public　acceptance　with　effective　guidance　and　comprehensive　explanation.　In　summary,　this　research　provides　novel　insights　into　the　multifaceted　factors　that　influence　individuals＇　acceptance　of　TCS　and　offers　valuable　assistance　in　promoting　an　innovative　traffic　demand　management　policy.