Intercity　carpooling　is　gradually　emerging,　helping　alleviate　intercity　traffic　during　holidays.　Promoting　intercity　carpooling　during　holidays　is　rarely　seen　in　the　current　research.　In　this　paper,　the　data　of　RP/SP　survey　is　used　to　analyze　the　travel　behavior　of　intercity　carpooling.　The　multinomial　logit　model　is　established　to　research　the　key　factors　affecting　passengers＇　choice　behavior　of　carpooling.　Results　show　that　intercity　carpooling　passengers　have　obvious　characteristics　in　travel　distance,　number　of　companions　and　process　of　finding　carpooling　vehicles.　Gender　and　monthly　income　significantly　influence　the　choice　of　carpool　A,　which　travels　directly　to　a　destination　city,　but　not　on　the　choice　of　carpool　B,　which　stops　at　a　city　along　the　way　to　pick　up　other　passengers.　Travel　distance,　stop　time　of　carpool　B,　fee　discount　of　carpool　B　and　the　departure　date　delay　of　railway　significantly　influence　the　choice　of　two　carpooling　modes.　©　2021　CICTP　2021:　Advanced　Transportation,　Enhanced　Connection　-　Proceedings　of　the　21st　COTA　International　Conference　of　Transportation　Professionals.　All　rights　reserved.