Condition assessment of the surface and buried infrastructure – A proposal for integration

Rogers, C. D. F.; Tu, Hao; Costello, Seósamh B.; Burrow, Michael; Metje, Nicole; Chapman, David; Parker, John C.; Armitage, R; Anspach, JH; Muggleton, J.M.; Foo, K.Y.; Wang, P; Pennock, S.R.; Atkins, P.R.; Swingler, S.G.; Cohn, AG; Goddard, K.F.; Lewin, P.L.; Orlando, Giovanni; Redfern, M.A.; Royal, Alexander; Saul, Adrian J.

doi:10.1016/j.tust.2011.10.012

Cited by 53 publications

(25 citation statements)

References 36 publications

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“…Over the past century it was common practice for public service providers to install, operate and repair their networks separately [6], so it is now very difficult to find accurate records of utility network maps in cities in both industrialized and developing countries. This crucial problem will worsen as cities expand and their networks increase in size and complexity [2] [3].…”

Section: Introductionmentioning

confidence: 99%

Detection of manhole covers in high-resolution aerial images of urban areas by combining two methods

Pasquet¹,

Desert

Bartoli

et al. 2015

2015 Joint Urban Remote Sensing Event (JURSE)

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Abstract-The detection of small objects from aerial images is a difficult signal processing task. To localise small objects in an image, low-complexity geometry-based approaches can be used, but their efficiency is often low. Another option is to use appearance-based approaches that give better results but require a costly learning step. In this paper, we treat the specific case of manhole covers. Currently many manholes are not listed or are badly positioned on maps. We implement two conventional previously published methods to detect manhole covers in images. The first one searches for circular patterns in the image while the second uses machine learning to build a model of manhole covers. The results show non optimal performances for each method. The two approaches are combined to overcome this limit, thus increasing the overall performance by about forty percent.

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Section: Introductionmentioning

confidence: 99%

Detection of manhole covers in high-resolution aerial images of urban areas by combining two methods

Pasquet¹,

Desert

Bartoli

et al. 2015

2015 Joint Urban Remote Sensing Event (JURSE)

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“…Utility network owners install, operate, perform maintenance, and repair their network independently by working in the relatively congested underground areas beneath our narrow streets and pavements, which means in turn that different utility networks are inevitably too close to each other than is desirable from an engineering viewpoint. This increases the possibility that other utility networks might be damaged when installation, repair or refurbishment work is carried out by any one utility company [41]. Accurate location of buried utilities is a vital issue specially when using trenching techniques [42].…”

Section: First Questionnaire and Decision Hierarchy Structurementioning

confidence: 99%

Selecting utilities placement techniques in urban underground engineering

Curiel-Esparza

Canto-Perello

2013

Archives of Civil and Mechanical Engineering

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Placement of utilities has not been generally accomplished in any sustainable technique resulting in a veritable maze in high density urban areas. As underground space scarcity grows in our cities due to the increasing demands for utility services, subsurface facilities such as utility tunnels are becoming more efficient in providing the required infrastructure. There is a growing public awareness of aesthetic considerations and impatience with street cuts and their associated costs, traffic interferences, noise and accidental utility cuts. Unfortunately the lack of data and the difficulty in quantifying the intangibles has made it impossible to arrive at a reasonably accurate figure of overall negative impact on the urban environment of street cuts. Due to this, current practices of traditional trenching depending only on cost indicators remain as first option in urban planning instead of more sustainable techniques, like utility tunnels. However, it is well known that intangible costs to the public and the utilities might make the utility tunnel concept to be economically feasible in the long run. This paper presents a methodology based on AHP and Delphi processes for the selection of utilities placement techniques in which the intangibles are also assessed to avoid short-sighted urban underground planning. HighlightsQuantifying intangibles is a key factor to study negative impact of street cuts. Only use of cost indicators make traditional trenching to remain as first option. Intangible costs might make utility tunnel concept to be feasible in the long term. A methodology based on AHP and Delphi avoids short-sighted underground planning.

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“…Utility tunnels can house the full range of electric power, water, communications, heating lines, gas and other public services. They may well constitute the answer to the perennial problem plaguing many municipalities: how to accommodate needed utilities without the mutual interference caused by the operation and maintenance of these utilities and urban streets (Canto-Perello & Curiel-Esparza, 2009;Rogers et al, 2012). Compartmentalization of subsurface public service systems largely follows historical development without considerations of the benefits of integration.…”

Section: Introductionmentioning

confidence: 99%

Criticality and threat analysis on utility tunnels for planning security policies of utilities in urban underground space

Canto-Perello

Curiel-Esparza

Calvo

2013

Expert Systems with Applications

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ElsevierCantó Perelló, J.; Curiel Esparza, J.; Calvo Peña, V. (2013). Criticality and threat analysis on utility tunnels for planning security policies of utilities in urban underground space. Expert Systems with Applications. 40 (11) AbstractA utility tunnel is defined as an underground structure containing one or more utilities, permitting the installation, maintenance and removal of the systems without the necessity of making street cuts or excavations. These underground facilities contain all essential utilities serving large urban areas collected together in a tunnel; therefore they are an inviting target for sabotage or vandalism. This paper proposes an expert system combining color-coded scales, Delphi and AHP methods to analyze criticality and threats on utility tunnels to support planning of security policies for utilities in urban subsurface.

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Condition assessment of the surface and buried infrastructure – A proposal for integration

Cited by 53 publications

References 36 publications

Detection of manhole covers in high-resolution aerial images of urban areas by combining two methods

Detection of manhole covers in high-resolution aerial images of urban areas by combining two methods

Selecting utilities placement techniques in urban underground engineering

Criticality and threat analysis on utility tunnels for planning security policies of utilities in urban underground space

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