Design and evaluation of railway corridors based on spatial ecological and geological criteria
2016 (English)In: Transportation Research Part D: Transport and Environment, ISSN 1361-9209, E-ISSN 1879-2340, Vol. 46, 207-228 p.Article in journal (Refereed) Published
Transport infrastructure is closely linked to several sustainability issues of main policy relevance, and significant impacts on biodiversity as well as resource use and construction costs relate to the corridor design and location in the landscape. The aim of this study was to develop methods for railway corridor planning, in which corridor design and location would be based on important ecological and geological sustainability criteria. The method, an MCA framework including both spatial and non-spatial MCA, was demonstrated on a railway planning proposition in an urbanising area north of Stockholm, Sweden. Alternative spatial alignments for 6 railway corridors were derived based on criteria representing biodiversity, resource efficiency and costs, developed from ecological and geological knowledge, data and models. The method identified a study area specific positive synergy between ecological and geological sustainability criteria. The evaluation part of the methodology could furthermore identify uncertainties in the input data and assumptions and conflicts between ecological criteria. In order to arrive at a well-informed decision support system, the criteria as well as the decision rules employed could be further elaborated. Other relevant sustainability issues would also need to be integrated, such as cultural landscapes, recreation, and other ecosystem services. Still, arriving at a corridor design informed by the ecological and geological conditions in the planned area, as demonstrated by this study, could improve the sustainability performance of transport infrastructure planning.
Place, publisher, year, edition, pages
Elsevier, 2016. Vol. 46, 207-228 p.
MCA, Planning, Decision support, Biodiversity, EIA, SEA
Environmental Analysis and Construction Information Technology
Research subject Land and Water Resources Engineering
IdentifiersURN: urn:nbn:se:kth:diva-176397DOI: 10.1016/j.trd.2016.03.012ISI: 000377829900016ScopusID: 2-s2.0-84962791640OAI: oai:DiVA.org:kth-176397DiVA: diva2:866665
FunderSwedish Research Council for Environment, Agricultural Sciences and Spatial Planning, 242-2009-1285
QC 201607182015-11-032015-11-032016-09-22Bibliographically approved