Urbanization and urban transport motorization lead to traffic jams, which negatively affect urban development and living quality. Travel pattern of inhabitants as the primary issue in transport management and control field. Combination of multi-big data to establish the travel pattern choice probability model that contributes to predicting travel patterns among different communities. That directly affects to relieve urban pressure and improves operating ability. This study establishes a distribution predicting model under the community travel distribution, private transport, and public transport, and forms a computer application program. This study outcome benefits from recognizing urban travel characteristics, relieving urban traffic pressure and applying it in natural environments.