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dc.contributor.author
Schito, Joram
dc.contributor.author
Moncecchi, Daniele
dc.contributor.author
Raubal, Martin
dc.date.accessioned
2021-01-11T08:29:54Z
dc.date.available
2021-01-11T08:29:54Z
dc.date.issued
2021-03
dc.identifier.issn
0198-9715
dc.identifier.issn
1873-7587
dc.identifier.other
10.1016/j.compenvurbsys.2020.101571
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/460986
dc.identifier.doi
10.3929/ethz-b-000451895
dc.description.abstract
Since new (Power) Transmission Lines (TLs) can have a long-term effect on the makeup of a landscape and on the human living space, it should be expected that the route of any new TL will be based on objective criteria that take into account the views of the public. Geographic Information Science (GIScience) provides powerful tools that assist in the determination of feasible locations for new TLs based on objective criteria and georeferenced data by combining methods from Multi-Criteria Decision Analysis (MCDA) and Least Cost Path (LCP) analysis. If such an approach is applied, the LCP analysis usually yields one optimal result. However, stakeholders and decision-makers prefer to compare multiple distinct path alternatives in order to find a solution that will be acceptable to as many stakeholders as possible. We have developed a method that calculates spatially distinct and Pareto optimal path alternatives based on the same cost surface using an algorithm for determining valleys on a Digital Elevation Model (DEM) to determine local low-cost points, which were then connected to a network graph by geometrical rules. Finally, we selected all non-dominated path alternatives that represented Pareto optimal conditions regarding a specific main objective. We then asked ten expert stakeholders to cross-compare the calculated path alternatives and assess our novel method. The concept of applying linear programming to obtain Pareto optimal path alternatives yielded routings that were mostly preferred over the LCP and had a greater likelihood of being realized than the results obtained by conducting the LCP analysis. The stakeholders determined the method's key concept to be useful and assert it a high potential to support planning, matter-of-fact argumentation, and discussions about TL routing.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Geographic information systems
en_US
dc.subject
Transmission line planning
en_US
dc.subject
Multi-criteria decision analysis
en_US
dc.subject
Linear programming
en_US
dc.title
Determining transmission line path alternatives using a valley-finding algorithm
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2020-12-02
ethz.journal.title
Computers, Environment and Urban Systems
ethz.journal.volume
86
en_US
ethz.pages.start
101571
en_US
ethz.size
14 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.code.ddc
DDC - DDC::0 - Computer science, information & general works::004 - Data processing, computer science
en_US
ethz.identifier.scopus
ethz.publication.place
Amsterdam
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02648 - Inst. f. Kartografie und Geoinformation / Institute of Cartography&Geoinformation::03901 - Raubal, Martin / Raubal, Martin
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02648 - Inst. f. Kartografie und Geoinformation / Institute of Cartography&Geoinformation::03901 - Raubal, Martin / Raubal, Martin
en_US
ethz.date.deposited
2020-11-18T13:56:01Z
ethz.source
FORM
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2021-01-11T08:30:07Z
ethz.rosetta.lastUpdated
2022-03-29T04:45:48Z
ethz.rosetta.versionExported
true
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/451895
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/455897
ethz.COinS
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