The aim of this study is to create alternative approaches to predict human response to ground vibration. Site measurements were conducted in an urban quarry. The multiple discriminant analysis technique was used to develop classification models. The measured ground vibration values were grouped based on the limit values appearing in the literature. Two classification models were created to predict human response to ground vibration. In addition, classical predictor equations were developed to compare to the classification models. The best equations were chosen considering several error measures. All the models were tested on the independent data. The prediction accuracy of the discriminant analysis models is quite promising. Nearly eighty-nine percent of the test data were correctly classified. The classification models have a combined structure. The results of the models can be directly presented to the neighbors of the studied quarry. The models are not complex. They do not require additional software or information to practice and can be easily used by site engineers.

这项研究的目的是创建替代方法来预测人类对地面振动的反应。现场测量是在城市采石场进行的。多重判别分析技术用于开发分类模型。根据文献中出现的极限值将测得的地面振动值分组。创建了两个分类模型来预测人类对地面振动的反应。此外，还开发了经典预测变量方程以与分类模型进行比较。选择最佳方程式时要考虑几种误差措施。所有模型均在独立数据上进行了测试。判别分析模型的预测准确性是很有希望的。正确分类了将近89％的测试数据。分类模型具有组合结构。模型的结果可以直接呈现给所研究的采石场的邻居。模型并不复杂。他们不需要其他软件或信息即可练习，并且可以由站点工程师轻松使用。