With　the　development　of　Internet　technology,　online　car-hailing　is　booming　in　China,　which　has　profoundly　affected　people＇s　travel　structures.　In　order　to　seek　the　sustainable　development　of　taxi　and　online　car-hailing　services　from　the　perspective　of　passenger　mode　choice　behavior,　the　mechanism　of　passengers＇　decision-making　procedures　and　their　travel　mode　choice　behaviors　were　analyzed.　To　study　the　influence　of　latent　variable　factors　on　passenger　choice　behavior,　this　paper　firstly　designed　a　questionnaire,　and　a　structural　equation　model　(SEM)　was　established　for　the　preliminary　study　of　the　relationship　between　the　latent　variables　and　the　behavioral　intentions　using　the　online　survey　data.　Then,　the　latent　variables　were　introduced　into　the　Logit　model,　setting　up　the　SEM-Logit　model　to　explore　the　mode　choice　patterns　between　taxis　and　online　car　services.　The　results　showed　that　the　SEM-Logit　model　with　the　latent　variables　is　better　than　a　general　Logit　model　in　terms　of　the　model　precision　and　hit　ratio.　Meanwhile,　after　introducing　the　latent　variables,　it　was　found　that　convenience,　comfort,　and　economy　factors　have　a　significant　influence　on　the　model,　and　the　explanatory　power　of　the　model　increases　accordingly.