Routeing of power lines through least-cost path analysis and multicriteria evaluation to minimise environmental impacts

Bagli, Stefano; Geneletti, Davide; Orsi, Francesco

doi:10.1016/j.eiar.2010.10.003

Cited by 134 publications

(85 citation statements)

References 15 publications

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“…GIS is a widely used tool with powerful data storage, management and sharing ability and rich spatial analysis ability, which can effectively integrate multi-source sensor data, provide spatial data support for all kinds of disaster management and decision support analysis and thus significantly improve the work efficiency and management level (Qi and Altinakar, 2011;Tang and Wen, 2009;Zerger and Smith, 2003). However, current GIS applications in power line management mainly satisfy the need for basic functions in the power line industry, such as power line layout, minimum cost path analysis, evaluation of environmental impact factors, power line measurement and calculation, three dimensional display and analysis, thematic map and statistics output (Bagli et al, 2011;Yang et al, 2010). Some higher level of applications can implement power information sharing and unified management, but abilities in risk analysis, early warning and decision making are very limited (Haihong et al, 2013;Jianli et al, 2003).…”

Section: Related Workmentioning

confidence: 99%

A Meteorological Risk Assessment Method for Power Lines Based on Gis and Multi-Sensor Integration

Zhao¹,

Xu²

2016

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Power lines, exposed in the natural environment, are vulnerable to various kinds of meteorological factors. Traditional research mainly deals with the influence of a single meteorological condition on the power line, which lacks of comprehensive effects evaluation and analysis of the multiple meteorological factors. In this paper, we use multiple meteorological monitoring data obtained by multi-sensors to implement the meteorological risk assessment and early warning of power lines. Firstly, we generate meteorological raster map from discrete meteorological monitoring data using spatial interpolation. Secondly, the expert scoring based analytic hierarchy process is used to compute the power line risk index of all kinds of meteorological conditions and establish the mathematical model of meteorological risk. By adopting this model in raster calculator of ArcGIS, we will have a raster map showing overall meteorological risks for power line. Finally, by overlaying the power line buffer layer to that raster map, we will get to know the exact risk index around a certain part of power line, which will provide significant guidance for power line risk management. In the experiment, based on five kinds of observation data gathered from meteorological stations in Guizhou Province of China, including wind, lightning, rain, ice, temperature, we carry on the meteorological risk analysis for the real power lines, and experimental results have proved the feasibility and validity of our proposed method.

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Section: Related Workmentioning

confidence: 99%

A Meteorological Risk Assessment Method for Power Lines Based on Gis and Multi-Sensor Integration

Zhao¹,

Xu²

2016

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Least-cost path analysis has been used to improve planning processes; however, the majority of examples focus on either reducing the environmental impacts or the economic costs of infrastructure, such as power lines [12,13] and transit corridors [15], for urban planning. However, there are few examples of such analyses in regional mine planning, and there is great potential for utilising such tools to address some of the social and environmental issues associated with poorly planned infrastructure [11,32].…”

Section: Social-ecological Analysis In the Context Of Mine Planningmentioning

confidence: 99%

“…For linear infrastructure, least-cost path analysis has been used in GISs for planning a range of infrastructure, including power lines [12,13], pipelines [14], transit corridors [15,16], haulage roads [17,18], and recreational trails [19]. Least-cost path analysis identifies the optimal pathways between two locations as a property of the cost of traveling through different locations within an area.…”

Section: Introductionmentioning

confidence: 99%

“…These range from observed preferences derived from land use models [21] and hedonic cost models [22], to self-reported preferences identified by social surveys using methods such as public participatory GIS [7], and finally to implicitly integrating social values using interactive GIS software [23]. For regional planning using least-cost path analysis, multi-criteria analysis methods are commonly used, in which stakeholder representatives or experts weight spatial datasets based on their land use preferences, e.g., [12,15]. In this study we combine social survey methods to weight spatial data to identify land use preferences spatially.…”

Section: Introductionmentioning

confidence: 99%

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A Socio-Ecological Approach to GIS Least-Cost Modelling for Regional Mining Infrastructure Planning: A Case Study from South-East Sulawesi, Indonesia

et al. 2017

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Abstract:Regional planning approaches to mining infrastructure aim to reduce the conflict associated with mining operations and existing land uses, such as urban areas and biodiversity conservation, as well as the cumulative impacts that occur offsite. In this paper, we describe a method for conducting Geographical Information System (GIS) least-cost path and least-cost corridor analysis for linear mining infrastructure, such as roads. Least-cost path analysis identifies the optimal pathways between two locations as a function of the cost of traveling through different land use/cover types. In a case study from South-East Sulawesi, Indonesia, we identify potential linear networks for road infrastructure connecting mines, smelters, and ports. The method used interview data from government officials to characterise their orientation (perceived importance and positive/negative attitude) toward the social and environmental factors associated with mining infrastructure. A cost-surface was constructed by integrating spatial layers representing the social and environmental factors to identify areas that should be avoided and areas that were compatible with linear infrastructure using the least-cost path analysis. We compared infrastructure scenario outputs from local and national government officials by the degree of spatial overlap and found broad spatial agreement for infrastructure corridors. We conclude by discussing this approach in relation to the wider social-ecological and mine planning literature and how quantitative approaches can reduce the conflict associated with infrastructure planning.

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“…The framework of development opportunity indicators and restriction indicators was established with grid scale, area percentage of indicator in the grid and the concept of buffers for the analysis and manipulation of integrated evaluation model for coastal land space (Bagli et al 2011).…”

Section: Evaluation System and Indicator Scalementioning

confidence: 99%

Evaluation of Coastal Land Use and Development in Northern Taiwan

Yen¹,

Tsai²,

Ju³

2017

dtcse

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This study was intended to establish coastal environment GIS database and construct a land use and development potential evaluation model by investigating deep into current land use along the coastal zones of northern Taiwan and social economic conditions. Expert questionnaires were introduced to determine the weight of each indicator developed. The model proposed was used for the analysis on the development opportunities and potentials of land use. Finally, the potentials of land use and development locations were obtained. As the result of this study, the integrated information of development potentials and space for land use in coastal zones was acquired and suggestions proposed for location development potentials. The result may be helpful to the planning for future land use of Taiwan's coasts and the integrated management and conservation of environmental information.

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Routeing of power lines through least-cost path analysis and multicriteria evaluation to minimise environmental impacts

Cited by 134 publications

References 15 publications

A Meteorological Risk Assessment Method for Power Lines Based on Gis and Multi-Sensor Integration

A Meteorological Risk Assessment Method for Power Lines Based on Gis and Multi-Sensor Integration

A Socio-Ecological Approach to GIS Least-Cost Modelling for Regional Mining Infrastructure Planning: A Case Study from South-East Sulawesi, Indonesia

Evaluation of Coastal Land Use and Development in Northern Taiwan

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