[目的/意义］克服“时间盲区”，探索时间维度下提升政府数据开放（Open Government Data，OGD）平台利用水平的多因素联动效应，以期为政府数据开放相关研究提供一定理论贡献和实践价值。［方法/过程］使用动态QCA方法，基于29个市级平台的面板数据（2019-2023年），分析地方政府数据开放平台利用水平在时间轴上的变化趋势，识别考虑空间和时间双重因素的条件组态。［结果/结论］不存在影响OGD平台利用水平的必要非充分条件，平台利用水平的高低受到多个因素的共同作用，而非单一因素控制；在条件组合的充分性分析中，存在3条组态路径：财政扶持下平台与数据资源建设驱动型、政府主导下平台建设与公众需求驱动型、政府主导下平台与数据资源建设驱动型；数据平台建设水平是促成OGD平台高利用水平的核心因素；组态分析结果不存在明显的时间效应，但存在一定程度的空间差异造成的案例效应。
[Purpose/significance] Overcoming the "temporal blind spot", this study explores the multifactor linkage effects for enhancing the utilization level of Open Government Data (OGD) platforms in the temporal dimension, aiming to provide theoretical contributions and practical value to research on government data openness. [Method/process]Employing the dynamic QCA method, based on panel data from 29 municipal platforms （2019-2023）， this study analyz⁃es the temporal trends of local government OGD platform utilization levels, identifying condition configurations consid⁃ering both spatial and temporal factors. [Result/conclusion] There are no necessary conditions affecting OGD platform utilization levels; rather, the utilization level is influenced by multiple factors acting together, not controlled by a single factor. In the sufficiency analysis of condition combinations, three configuration paths are identified: platform driven by fiscal support and data resource construction, government-led platform construction and public demand-driven, gov⁃
ernment-led platform and data resource-driven. The level of data platform construction is the core factor promoting high utilization levels of OGD platforms. The configuration analysis results show no apparent temporal effects but exhib⁃it case effects resulting from certain spatial differences.
