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In the context of big data, opening government data to society for development and utilization would improve the transparency of government work and promote harmonious social development. Improving the sustainability of open government data (OGD) is an important and challenging issue, and has received the attention of multiple governments. The goals of this study are to construct a new evaluation model for the sustainability of OGD that explores the main influential factors and amends the priorities. We used a combination of the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method and the Analytical Network Process (ANP) method known as DANP to construct an influential network relationship map (INRM) of the evaluation system and calculate the criterion weights. The INRM and weights can help decision makers understand the complex assessment system and set priorities for improving OGD. The results demonstrate that the improvement priorities of dimensions have the following order: impact (D4), use (D3), data (D2), and environment (D1). Economic, social, and political values are the three critical factors for improvement of the sustainability of OGD. Some implications for management are also provided.

The outbreak of the COVID-19 epidemic has greatly hindered the development of the tourism industry. It is urgent for the city to improve the quality of public service in scenic spots, so as to attract more tourists and achieve sustainable development. With a literature review and reference to some guidance, the evaluation indicator system of public service satisfaction of scenic spots was constructed based on the analytic hierarchy process. Then, we distributed two questionnaires to complete the study. The first is the expert questionnaire for the evaluation indicator system. We used YAAHP software to process the questionnaire data and calculated the weight of each indicator, which provided a basis for the following analysis. The second is the questionnaire distributed to tourists of Xiamen. Then, we used the fuzzy comprehensive evaluation method to analyze the satisfaction of public services in scenic spots. The outcomes show that tourists are overall satisfied with the public services of scenic spots in Xiamen. However, there are still some problems, such as lagging information service, inadequate security, and supervision in the scenic spot. Therefore, the city and scenic spots should improve the level of smart tourism service, strengthen the construction of hardware and software facilities, and focus on the protection of tourists’ rights and interests.

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Under the background of big data, citizens can freely access and use open data to create value through the open government data platform (OGDP). The sustainable use of OGDP can meet the needs of citizens. The value created by citizens can also improve quality of life, which is of great significance to the sustainable development of society. From the citizens’ perspective, we constructed an evaluation model of citizens’ sustainable use of OGDP, including 12 indicators in four dimensions: Data, platform, outcome, and citizen. We have built the complete evaluation system with the DANP (Decision-Making Trial and Evaluation Laboratory-Based Analytic Network Process) method. It explores the main influencing factors and mutual influence of citizens’ sustainable use of OGDP. Empirical research is done on four provincial OGDPs in China’s Shanghai, Zhejiang, Guizhou, and Fujian provinces. The TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method was used to rank the OGDPs in four pilot areas in empirical research. The results demonstrate that the improvement priorities of dimensions have the following order: Citizen, outcome, data, and platform, in which data and platform are cause dimensions, and outcome and citizen are result dimensions. The satisfaction indicator has the highest weight among all evaluation indicators, followed by the quality and quantity of outcomes. The one with the lowest weight is non-discrimination. The empirical results show that the OGDP in Zhejiang ranks the highest overall, followed by the OGDPs of Shanghai, Fujian, and Guizhou provinces. In the outcome and citizen dimensions, Zhejiang provincial OGDP does the best. Fujian provincial OGDP does the best in the platform dimension. The citizens’ sustainable use of OGDP can be promoted by timely opening of data that citizens need urgently, perfecting the policy of privacy protection and user guide of OGDP, holding open data innovation competition, providing data visualization function, providing various download formats of data sets, and simplifying the download procedures for citizens.