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In the United States, several studies have looked at the association between automobile ownership and sociodemographic factors and built environment qualities, but few have looked at household travel characteristics. Their interactions and nonlinear linkages are frequently overlooked in existing studies. Utilizing the 2017 US National Household Travel Survey, the authors employed an extreme gradient boosting tree model to evaluate the nonlinear and interaction impacts of household travel characteristics and built environment factors on vehicle ownership in three states of the United States (California, Missouri, and Kansas) that are different in population size. To develop these models, three main XGBT parameters, including the number of trees, maximal depth, and minimum rows, were optimized using a grid search technique. In California, the predictability of vehicle ownership was driven by household travel characteristics (cumulative importance: 0.62). Predictions for vehicle ownership in Missouri and Kansas were dominantly influenced by sociodemographic factors (cumulative importance: 0.53 and 0.55, respectively). In all states, the authors found that the number of drivers in a household plays a vital role in the vehicle ownership decisions of households. Regarding the built environment attributes, deficiencies in cycling infrastructure were the most prominent attribute in predicting household vehicle ownership in California. This variable, however, has threshold connections with vehicle ownership, but the magnitude of these relationships is small. The outcomes imply that improving the condition of cycling infrastructure will help reduce the number of vehicles. In addition, incentives that encourage the households’ drivers not to buy new vehicles are helpful. The outcomes of this study might aid policymakers in developing policies that encourage sustainable vehicle ownership in the United States.

SummaryAs the scene experience tourism enterprises develop rapidly in the market, more and more users begin to experience this type of tourism products in the tourism of affair at the beginning, but with the increase of the wisdom of the city experience popularity and user stickiness, more tourism enterprises get the opportunities. Early feedback of the wisdom of the city has become the effective way to get the reputation from other users through the user experience and earn a reputation at the same time; tourism enterprises have also been hurt by negative word‐of‐mouth users, and various contradictions become more and more apparent. Based on the previous literature, this paper studied the relationship between enterprises and tourism enterprises from Gu networking in the process of investigation, and the relationship among negative word‐of‐mouth users. In‐depth research and analysis were also done among the users through the dynamic relationship between evolutionary game theory and tourism scene experience. Quantitative research on evolution model in tourism enterprises and in the case of the external competition will investigate the negative reputation of the user, analyze negative word‐of‐mouth users and maintain positive word‐of‐mouth users, and give the corresponding countermeasures that the tourism enterprises should take, as things really play to verify efficacy and enterprise efficient user management to provide the reference. At the same time, whether the control of the measures is analyzed by the evolution of phase diagram, it defines the essence of tourism enterprises and the relationship among negative word‐of‐mouth competing users.

Dalian Free Trade Zone has realized the development direction of taking service trade as the core, international division of labor as the goal, and new opening strategy as the guidance. However, due to the bottleneck of financial system reform and the limitation of system mechanism and policy, especially the slow pace of reform in the aspects of foreign exchange control, free floating of exchange rate and marketization of interest rate related to the free flow of capital, Dalian’s “four centers”: economic center, financial center, trade center and shipping center, the pace of construction is limited to a certain extent It is also difficult to further expand the space for the development of the liberal economy. The competition and cooperation conditions in Liaoning free trade zone are quite different from those in other free trade zones, so this paper makes an in-depth study around Liaoning free trade zone.