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Winter problems on mountain passes – Implications for cost-benefit analysis
Institution:1. Division of Chemistry & Biological Chemistry, School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore 63737, Singapore;2. Sensors and Biosensors Group, Department of Chemistry, Universitat Autònoma de Barcelona, Edifici Cn, 08193 Bellaterra, Barcelona, Spain;1. Bacterial Protein Toxin Research Cluster, Institute of Molecular Biosciences, Mahidol University, Nakhon Pathom 73170, Thailand;2. Department of Medical Technology, Faculty of Allied Health Sciences, Burapha University, Chonburi 20131, Thailand;3. Department of Chemistry, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand;4. Department of Biopharmacy, Faculty of Pharmacy, Silpakorn University, Nakhon Pathom 73000, Thailand;5. Laboratory of Molecular Biophysics and Structural Biochemistry, Biophysics Institute for Research and Development (BIRD), Bangkok 10160, Thailand;1. Poisonous Plant Research Laboratory, Agricultural Research Service, United States Department of Agriculture, 1150 E. 1400 N., Logan, UT 84341, USA;2. Central de Diagnóstico Veterinário, Escola de Veterinária, Federal University of Pará (UFPA), Castanhal, Pará 68743-080, Brazil;3. Veterinary Hospital, Federal University of Campina Grande (UFCG), Patos, Paraíba 58700-000, Brazil;1. Section for Bioinformatics, Department of Biochemical Engineering, Faculty of Food Technology & Biotechnology, University of Zagreb, Pierottijeva 6, HR-10000 Zagreb, Croatia;2. Laboratório de Imunopatologia, Instituto Butantan, Av. Vital Brasil 1500, 05503-900 São Paulo, SP, Brazil;3. Department of Genetics, University of Kaiserslautern, Postfach 3049, 67653 Kaiserslautern, Germany;4. Institute of Pharmaceutical Science, King''s College London, United Kingdom;5. Department of Chemistry, King''s College London, United Kingdom;6. Brazil Institute, King''s College London, United Kingdom;7. Faculdade de Ciências Farmacêuticas, Universidade de São Paulo, Av. Prof. Lineu Prestes, 580, B16, 05508-000 São Paulo, SP, Brazil
Abstract:Cost-benefit analysis is a tool in government decision-making for determining the consequences of alternative uses of society’s scarce resources. Such a systematic process of comparing benefits and costs was adopted in early years for transportation projects and it has been the subject of much refining over the years. There are still some flaws, however, in the application of the method. In this article we have studied the impact of weather conditions on traffic speed on low traffic roads often exposed to adverse weather. This is an issue not currently considered in the cost-benefit analysis of road projects. By using two analytical approaches—structural equation modelling and classification and regression tree analysis—the impact of the weather indicators temperature, wind speed, and precipitation on traffic speed has been quantified. The data relates to three winter months on the European Route 6 road over the mountain pass Saltfjellet in Norway. Increase in wind speed, increase in precipitation and temperatures around freezing point all caused significant decrease in traffic speed in the case studied. If actions were taken to reduce the impact of adverse weather on traffic (e.g. by building a tunnel through the mountain) this study indicates that the road users would gain a total benefit of approximately 2,348,000 NOK (282,000 EUR) each winter at Saltfjellet if all the weather related benefits were included. We argue that this is a significant number that is highly relevant to include in CBAs. This applies both to the CBAs of new transportation projects as well as when resources are allocated for operation, maintenance, and monitoring of the existing transport systems. Including the weather related benefits would improve the application of CBA as a decision-making tool for policy makers.
Keywords:Cost-benefit analysis  Adverse weather  Traffic speed  Structural equation modelling  Classification and regression tree analysis
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