为什么隧道和山峰总是孪生出现？
为什么隧道和山峰总是孪生出现？
limitlessPR，2401-13009，open access
摘要
现如今。交通路网与高速路网已经遍布全世界。然而，人们非常容易忽略一个事实，那就是为什么每一个隧道的上方都会出现一个山。大家已经对这个现象熟视无睹。然而，目前我们并没有相关的文献对此事进行研究与探讨。我们无法在不搞清隧道与大山之间的统计学关联的情况下很好地开展新的道路修建，自动驾驶或车路协同的研究。为了解决这个痛点，我们的团队收集了2012年到2023年之间的中国陕西省与四川省地区的路网信息数据，并使用统计学分析手段对其进行先验校正估计。得出了隧道与大山之间的关联。根据我们的研究结果，可以表明：对于90%以上的隧道，同时会伴随着一个，高程在五十米到三百米之内的小山坡，而对于剩下的绝大多数隧道，则会伴随非常宏伟的山脉系，同时根据我们的研究结果表明，隧道的长度与山峰高度存在很强的正比关联。这一项结论可能有助于新的道路桥梁工程修建的参考标准，同时为相关领域提供了有价值的建议依据。
我们的研究同时还表明，即使对于 95%的隧道来说，隧道长度与山峰高度成正比相关联。然而仍旧有一些隧道与山峰并不是孪生关系，对于这些个例，我们将其分类为道桥隧道与城市内隧道两个大类别，并指出该类型隧道产生的依据。
总体来讲，我们的团队贡献了以下事实：
- 对于传闻来说，山峰确实和隧道的出现存在着紧密的关系。
- 隧道长度与山峰高程成正比关系，并且置信度在95%的情况下，相关系数因子高达0.8。
- 我们讨论了一些可能的潜在原因，可以初步解释为什么隧道总是出现在山峰之中。
Twin Phenomenon of Tunnels and Peaks: A Statistical Investigation
Abstract
In the contemporary era, extensive transportation networks and expressways have proliferated globally. However, an intriguing phenomenon often goes unnoticed: why is there always a peak above each tunnel? Despite its familiarity, there is a paucity of literature delving into this phenomenon. Without a comprehensive understanding of the statistical correlation between tunnels and mountains, it becomes challenging to support novel road construction, autonomous driving, or vehicle-road coordination studies. To address this gap, our team collected road network data from the Shaanxi and Sichuan provinces in China between 2012 and 2023. Employing statistical analysis for prior calibration estimates, we uncovered the correlation between tunnels and mountains. The results indicate that over 90% of tunnels are accompanied by small hills ranging from fifty to three hundred meters in elevation, while the remaining are associated with grand mountain ranges. Furthermore, our research reveals a strong proportional relationship between tunnel length and peak height. This conclusion provides reference standards for new road and bridge construction and offers valuable guidance for related fields.
Additionally, our study highlights that even for 95% of tunnels, the length is proportionally related to peak height. However, there are still instances where tunnels and peaks do not exhibit a twin relationship. For these cases, we categorize them into two major types: bridge tunnels and urban tunnels, elucidating the basis for such classification.
In summary, our team contributes the following facts:
- The relationship between peaks and tunnels is not mere speculation but indeed exhibits a tangible connection.
- Tunnel length is proportionally related to peak elevation, with a high correlation coefficient of 0.8 at a 95% confidence level.
- We discuss potential reasons, providing a preliminary explanation for why tunnels consistently appear amidst peaks.
Access denial
您或您的组织目前并没有购买limitless数据库，您可以支付 648CNY/99USD 来解锁该论文的访问权限，请从我们提供的付款链接进行付款。付款成功之后，将自动获得本文献的全文链接。