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Where to Find Water Pipes and Sewers?—On the Correlation of Infrastructure Networks in the Urban Environment

机译：在哪里可以找到水管和下水道？-论城市环境中基础设施网络的相关性

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Urban water infrastructure, i.e., water supply and sewer networks, are underground structures, implying that detailed information on their location and features is not directly accessible, frequently erroneous, or missing. For public use, data is also not made available due to security concerns. This lack of quality data, especially for research purposes, requires substantial effort when such data is sought for both statistical and model‐based analyses. An alternative to gathering data from archives and observations is to extract the information from surrogate data sources (e.g., the street network). The key for such an undertaking is to identify the common characteristics of all urban infrastructure network types and to quantify them. In this work, the network correlations of the street, water supply, and sewer networks are systematically analyzed. The results showed a strong correlation between the street networks and urban water infrastructure networks, in general. For the investigated cases, on average, 50% of the street network length correlates with 80%-85% of the total water supply/sewer network. A correlation between street types and water infrastructure properties (e.g., pipe diameter) cannot be found. All analyses are quantified in the form of different geometric‐ and graph‐based indicators. The obtained results improve the understanding of urban network infrastructure from an integrated point of view. Moreover, the method can be fundamental for different research purposes, such as data verification, data completion, or even the entire generation of feasible datasets.
机译：城市供水基础设施（即供水和下水道网络）是地下结构，这意味着无法直接访问其位置和特征的详细信息，经常会出错或丢失这些信息。对于公共用途，出于安全考虑，数据也不可用。缺乏高质量数据（尤其是出于研究目的）时，在为统计分析和基于模型的分析寻求此类数据时，需要付出大量的努力。从档案和观察中收集数据的另一种方法是从代理数据源（例如街道网络）中提取信息。这项工作的关键是确定所有城市基础设施网络类型的共同特征并对其进行量化。在这项工作中，系统地分析了街道，供水网络和下水道网络的网络相关性。结果表明，一般而言，街道网络与城市水利基础设施网络之间具有很强的相关性。对于所调查的案例，平均而言，街道网络长度的50％与总供水/下水道网络的80％-85％相关。找不到街道类型与水基础设施属性（例如管道直径）之间的相关性。所有分析均以不同的基于几何和图形的指标形式量化。从综合的角度来看，获得的结果提高了对城市网络基础设施的理解。而且，该方法对于不同的研究目的可能是基础的，例如数据验证，数据完成，甚至是整个可行数据集的生成。

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