A Century of Topological Coevolution of Complex Infrastructure Networks in an Alpine City
In this paper, we used complex network analysis approaches to investigate topological coevolution over a century for three different urban infrastructure networks. We applied network analyses to a unique time-stamped network data set of an Alpine case study, representing the historical development o...
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Wiley
2019-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2019/2096749 |
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author | Jonatan Zischg Christopher Klinkhamer Xianyuan Zhan P. Suresh C. Rao Robert Sitzenfrei |
author_facet | Jonatan Zischg Christopher Klinkhamer Xianyuan Zhan P. Suresh C. Rao Robert Sitzenfrei |
author_sort | Jonatan Zischg |
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description | In this paper, we used complex network analysis approaches to investigate topological coevolution over a century for three different urban infrastructure networks. We applied network analyses to a unique time-stamped network data set of an Alpine case study, representing the historical development of the town and its infrastructure over the past 108 years. The analyzed infrastructure includes the water distribution network (WDN), the urban drainage network (UDN), and the road network (RN). We use the dual representation of the network by using the Hierarchical Intersection Continuity Negotiation (HICN) approach, with pipes or roads as nodes and their intersections as edges. The functional topologies of the networks are analyzed based on the dual graphs, providing insights beyond a conventional graph (primal mapping) analysis. We observe that the RN, WDN, and UDN all exhibit heavy tailed node degree distributions [P(k)] with high dispersion around the mean. In 50 percent of the investigated networks, P(k) can be approximated with truncated [Pareto] power-law functions, as they are known for scale-free networks. Structural differences between the three evolving network types resulting from different functionalities and system states are reflected in the P(k) and other complex network metrics. Small-world tendencies are identified by comparing the networks with their random and regular lattice network equivalents. Furthermore, we show the remapping of the dual network characteristics to the spatial map and the identification of criticalities among different network types through co-location analysis and discuss possibilities for further applications. |
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id | doaj-art-0c38279bc490437488e955cb2ff97388 |
institution | Kabale University |
issn | 1076-2787 1099-0526 |
language | English |
publishDate | 2019-01-01 |
publisher | Wiley |
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series | Complexity |
spelling | doaj-art-0c38279bc490437488e955cb2ff973882025-02-03T05:53:23ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/20967492096749A Century of Topological Coevolution of Complex Infrastructure Networks in an Alpine CityJonatan Zischg0Christopher Klinkhamer1Xianyuan Zhan2P. Suresh C. Rao3Robert Sitzenfrei4Unit of Environmental Engineering, Department of Infrastructure, University of Innsbruck, Technikerstrasse 13, 6020 Innsbruck, AustriaLyles School of Civil Engineering, Purdue University, 550 Stadium Mall Drive, West Lafayette, IN 47907, USAUrban Computing Business Unit, JD Finance No. 18 Kechuang 11 Street, Beijing, ChinaLyles School of Civil Engineering, Purdue University, 550 Stadium Mall Drive, West Lafayette, IN 47907, USAUnit of Environmental Engineering, Department of Infrastructure, University of Innsbruck, Technikerstrasse 13, 6020 Innsbruck, AustriaIn this paper, we used complex network analysis approaches to investigate topological coevolution over a century for three different urban infrastructure networks. We applied network analyses to a unique time-stamped network data set of an Alpine case study, representing the historical development of the town and its infrastructure over the past 108 years. The analyzed infrastructure includes the water distribution network (WDN), the urban drainage network (UDN), and the road network (RN). We use the dual representation of the network by using the Hierarchical Intersection Continuity Negotiation (HICN) approach, with pipes or roads as nodes and their intersections as edges. The functional topologies of the networks are analyzed based on the dual graphs, providing insights beyond a conventional graph (primal mapping) analysis. We observe that the RN, WDN, and UDN all exhibit heavy tailed node degree distributions [P(k)] with high dispersion around the mean. In 50 percent of the investigated networks, P(k) can be approximated with truncated [Pareto] power-law functions, as they are known for scale-free networks. Structural differences between the three evolving network types resulting from different functionalities and system states are reflected in the P(k) and other complex network metrics. Small-world tendencies are identified by comparing the networks with their random and regular lattice network equivalents. Furthermore, we show the remapping of the dual network characteristics to the spatial map and the identification of criticalities among different network types through co-location analysis and discuss possibilities for further applications.http://dx.doi.org/10.1155/2019/2096749 |
spellingShingle | Jonatan Zischg Christopher Klinkhamer Xianyuan Zhan P. Suresh C. Rao Robert Sitzenfrei A Century of Topological Coevolution of Complex Infrastructure Networks in an Alpine City Complexity |
title | A Century of Topological Coevolution of Complex Infrastructure Networks in an Alpine City |
title_full | A Century of Topological Coevolution of Complex Infrastructure Networks in an Alpine City |
title_fullStr | A Century of Topological Coevolution of Complex Infrastructure Networks in an Alpine City |
title_full_unstemmed | A Century of Topological Coevolution of Complex Infrastructure Networks in an Alpine City |
title_short | A Century of Topological Coevolution of Complex Infrastructure Networks in an Alpine City |
title_sort | century of topological coevolution of complex infrastructure networks in an alpine city |
url | http://dx.doi.org/10.1155/2019/2096749 |
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