Abstract

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.

Highlights

  • In an urban system, a substantial number of public infrastructures can be represented in the form of a network, e.g., streets, subway systems, water supply pipes, and sewer pipes

  • The results of the detailed geometric analysis are shown, followed by graph-based analysis containing the indicators Cycle Indicator (CI) and leaf indicator (LI)

  • Disregarded data of sewer networks is marginal for all three case studies

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Summary

Introduction

A substantial number of public infrastructures can be represented in the form of a network, e.g., streets, subway systems, water supply pipes, and sewer pipes. The application of complex network analysis procedures to urban street networks has been shown by several authors, e.g., Porta, et al [3], Jiang and Claramunt [4] and Yin, et al [5]. Urich, et al [6] suggested using a graph-theoretical approach, and Möderl, et al [7] used graph theory to describe water supply networks. Sitzenfrei, et al [8] analyzed automatically generated water distribution system data based on GIS data. All of these investigations are for one single network type

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