Volunteered geographic information (VGI) is a large and up-to-date data source, which is available to the public easily. VGI enables public participation by leveraging scientific research and ease of data entry. OpenStreetMap (OSM) is one of the most popular examples of a volunteered geographic information project that has turned into a major source as the substitution of geographical data over the past years. Because OSM data quality is very variable, its various aspects have been investigated in previous studies. Assessing the reliability of volunteered geographic data has been a topic of interest to researchers during recent years. The objective of this study is to introduce an approach for computing the reliability indicators as tools for assessing OSM data quality using the history of data. To prepare the data required, the history file of the OSM dataset for the study region was extracted. Then, historical data cleaning was carried out by identifying and eliminating the outlier data. Afterward, the reliability indicator was calculated through criteria such as the number of versions, the number of user participation, temporal variations, and the number of tags editing. In the last step, to evaluate the proposed approach in calculating the reliability indicator, the level of feature reliability was compared with their spatial accuracy calculated via feature matching of the OSM and official data. The results show among 7478 reliability features of the OSM, approximately 4338 feature involves reliability of above 50%, containing 58.01% of the datasets, and among 5659 matching features of the OSM dataset, 4429 features have a similarity percentage of above 70%, containing 78.26% of the datasets. Increasing the number of versions, the number of users, and the temporal variation range of a route increased the reliability. Contrastingly, tag editing reduces reliability. Moreover, according to the results, a correlation coefficient of 0.695 between the reliability and spatial accuracy indicates a direct relationship of reliability in the quality of the OSM dataset.

志愿地理信息 (VGI) 是一个庞大且最新的数据源，公众可以轻松获取。VGI 通过利用科学研究和数据输入的便利性使公众参与成为可能。OpenStreetMap (OSM) 是志愿地理信息项目中最受欢迎的例子之一，在过去几年中，该项目已成为替代地理数据的主要来源。由于 OSM 数据质量变化很大，以前的研究已经对其各个方面进行了调查。近年来，评估自愿提供的地理数据的可靠性一直是研究人员感兴趣的话题。本研究的目的是引入一种计算可靠性指标的方法，作为使用数据历史评估 OSM 数据质量的工具。要准备所需的数据，提取了研究区域的 OSM 数据集的历史文件。然后，通过识别和消除异常数据进行历史数据清洗。之后，通过版本数量、用户参与数量、时间变化和标签编辑数量等标准计算可靠性指标。在最后一步，为了评估所提出的计算可靠性指标的方法，将特征可靠性水平与通过 OSM 和官方数据的特征匹配计算的空间精度进行比较。结果表明，在OSM的7478个可靠性特征中，约4338个特征涉及50%以上的可靠性，占数据集的58.01%，在OSM数据集的5659个匹配特征中，有4429个特征的相似度在70%以上，包含 78.26% 的数据集。增加版本数、用户数和路由的时间变化范围增加了可靠性。相比之下，标签编辑会降低可靠性。此外，根据结果，可靠性和空间精度之间的相关系数为 0.695，表明可靠性与 OSM 数据集质量的直接关系。