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Adapting railways to provide resilience and sustainability
- Publication Year :
- 2017
-
Abstract
- The reality of anthropogenic climate change is increasingly apparent, with significant implications for railway and other infrastructure networks. As a transport mode with a relatively small environmental impact, rail has a potentially valuable role to play in climate change mitigation. However, this potential can only be realised if railways are adapted to withstand the effects of the increasingly extreme weather associated with climate change predictions. This requirement is widely acknowledged by government and the railway industry, and the required responses to the specific potential effects of climate change are well-known and understood. However, a review of the literature indicates a need for a decision support system to prioritise the interventions required for adaptation in the face of considerable uncertainty about both the frequency and scale of future extreme weather events, and the nature and levels of future passenger and freight traffic on the railways. This paper proposes a seven-step framework for the classification of the railway network, the assessment of the economic value of traffic using the network (and thus the economic costs of weather-related disruption), the identification of appropriate remedial measures and their costs, and thus the prioritisation of these measures by means of cost-benefit analysis.
- Subjects :
- 050210 logistics & transportation
Engineering
Decision support system
010504 meteorology & atmospheric sciences
business.industry
media_common.quotation_subject
05 social sciences
Global warming
Environmental resource management
Climate change
01 natural sciences
Extreme weather
Climate change mitigation
Effects of global warming
0502 economics and business
Sustainability
Psychological resilience
business
0105 earth and related environmental sciences
Civil and Structural Engineering
media_common
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....e286689c652b1b234d1c99c3a2c0572d