Research　on　individual　decision-making　process　is　fundamentally　critical　to　explore　the　macroscopic　behavioral　rules　for　travel　mode　choice.　In　this　paper,　a　behavioral　experiment　under　different　contexts　was　designed　by　a　process-tracing　method　to　obtain　data　regarding　repetitive　travel　mode　choices.　Based　on　the　Decision　Field　Theory,　a　stochastic,　dynamic　model　was　proved　to　be　reliable　and　used　to　reproduce　and　analyze　the　repeated　decision-making　process.　It　is　concluded　that　in　a　stable　context,　travelers　would　gradually　establish　and　use　some　new　decision　rules　to　make　a　travel　mode　choice　during　the　repetitive　decision-making　process.　When　travelers　have　developed　a　travel　mode　habit,　environmental　cues　become　the　key　factors　that　trigger　travelers　to　make　travel　mode　choices.　Context　change　and　traffic　policies　can　make　travelers　consider,　weigh　and　compare　the　relevant　information　again　and　interrupt　their　previous　habitual　choice　behavior,　enhancing　the　use　of　Park　and　Ride.　Meanwhile,　travelers　with　a　faster　learning　speed　and　better　memory　develop　a　travel　mode　habit　in　a　stable　context　and　change　the　existing　car　use　habit　in　a　new　context　more　quickly.　These　results　would　help　to　enrich　the　existing　theoretical　study　of　travel　behavior　and　provide　an　interesting　starting　point　for　the　development　of　practical　strategies　to　promote　the　use　of　public　transport　instead　of　a　private　car.　Traffic　management　techniques　such　as　congestion　pricing,　along　with　behavior　intervention　and　guidance　strategies　for　different　groups　can　strengthen　this　effect.