# Measurements of Human Perception of Train Vibration
## 7 Conclusions  
This article focuses on examining the influence of train vibrations on human perception, especially in the context of residential buildings located close to railways. The conducted measurements and analyses revealed significant relationships between the type of train, the travel speed, and the level of people's vibration perception. The research results indicate a \begin{table}
\begin{tabular}{c c c c} \hline \hline
**No.** & **Speed [km/h]** & **Central Frequency [Hz]** & **WODL [-]** \\ \hline
1 & 40 & 20 & 0.20 \\
2 & 80 & 16 & 0.32 \\
3 & 120 & 16 & 0.33 \\
4 & 160 & 16 & 1.60 \\
5 & 160 & 16 & 1.71 \\
6 & 200 & 16 & 3.08 \\
7 & 200 & 16 & 2.86 \\
8 & 200 & 16 & 2.60 \\
9 & 230 & 16 & 5.14 \\
10 & 230 & 16 & 5.21 \\
11 & 250 & 20 & 2.62 \\
12 & 250 & 20 & 2.72 \\
13 & 250 & 16 & 5.08 \\
14 & 250 & 20 & 2.89 \\
15 & 250 & 20 & 3.06 \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Results of analysis from [22]. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**N = 87** & **B** & **Standard Error from b** & **_p_** \\ \hline Intercept & 2369.61 & 552.30 & 0.000047 \\ Type of train & \(-11.62\) & 2.87 & 0.000112 \\ \hline \hline \end{tabular}
\end{table} 
Table 5: The possibility of using a linear equation in multiple regression. correlation between train speed and the value of the WODL index, which measures the impact of vibrations on people in residential buildings. Impact of Train Type on Vibration Level:
* Differences in vibration levels were observed depending on the type of train, with varying WODL values for different types of trains. * Vibrations generated by different types of trains may have varied effects on building residents, underscoring the importance of considering this factor in the design and operation of railway transportation systems. Regression Analysis:
* The application of multiple regression analysis provided a better understanding of the relationship between train speed, type, and the level of vibration perception by people in buildings. * The analysis results indicate a stronger correlation when both train speed and type are considered, suggesting that both factors may significantly influence the level of vibration perception. The study demonstrates the need to consider the impact of train vibrations on people living in nearby buildings during the planning and design of railway transportation systems. The research findings may be useful for designers and managers responsible for planning and operating railway transportation systems, aiding in the identification of potential vibration-related issues and the implementation of appropriate preventive measures. Further research and analysis are needed to fully understand the complex issue of the impact of train vibrations on residential buildings and the people living in them. Possible future research could include the following. * Expanded Study on a Larger Sample of Buildings:  
Conducting similar measurements and analyses on a larger number of residential buildings situated near railway lines to obtain a more comprehensive understanding of the impact of train vibrations. Including buildings of varying construction types, ages, and distances from railway tracks to capture a wider range of scenarios and factors influencing vibration perception. * Incorporation of Survey Studies:  
Supplementing vibration measurements with survey studies to gather subjective feedback from residents regarding their perception of vibrations and any associated discomfort or annoyance. Designing structured questionnaires to assess various aspects pertaining to train-induced vibrations, such as frequency of vibration perception, impact on daily activities, and overall satisfaction with living conditions. * Longitudinal Studies:  
Conducting longitudinal studies to observe changes in vibration perception over time, considering factors such as seasonal variations, changes in train schedules or types, and potential structural modifications to buildings.