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Open AccessFeature PaperArticle

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

Unit of Environmental Engineering, University of Innsbruck, Technikerstr. 13, 6020 Innsbruck, Austria
Author to whom correspondence should be addressed.
Water 2017, 9(2), 146;
Received: 14 December 2016 / Accepted: 16 February 2017 / Published: 21 February 2017
(This article belongs to the Special Issue Synergies in Urban Water Infrastructure Modeling)
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. View Full-Text
Keywords: integrated analysis; synergies in data; graph theory based indicators; geometric indicators;  interlinked networks integrated analysis; synergies in data; graph theory based indicators; geometric indicators;  interlinked networks
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MDPI and ACS Style

Mair, M.; Zischg, J.; Rauch, W.; Sitzenfrei, R. Where to Find Water Pipes and Sewers?—On the Correlation of Infrastructure Networks in the Urban Environment. Water 2017, 9, 146.

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