
doi: 10.2495/risk200201
handle: 10037/19065 , 11250/3049776
Despite all efforts to mitigate global warming, its rate and magnitude are still rising where transportation is considered to be an important contributor. In the Arctic regions however, unstable weather conditions, strong seasonal variations, and long harsh winters result in additional challenges to transportation in different ways such as those related to environment, human health, safety, and economy. This study deals with challenges related to road transportation in the Arctic regions. With this aim in mind, firstly the effects of weather-related factors, including precipitation, temperature and wind on road transportation are presented. Then, to investigate challenges, a causal analysis utilizing the approach of fault tree analysis (FTA) is conducted in which the related impacts are classified into three categories: environment, health/safety and economy. Accordingly, the critical causes are discussed and mitigating measures are addressed. It is suggested that the holistic review presented in the paper will be useful in identifying the most sustainable ways to decrease negative effects from road transportation in the Arctic.
VDP::Teknologi: 500, VDP::Technology: 500
VDP::Teknologi: 500, VDP::Technology: 500
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 4 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
