Identification and Prioritization of Emerging Technologies in Road Transportation Using Multi-Criteria Decision Making (MCDM)
Subject Areas : Technology Managementmehrnoosh bastenegar 1 , Reza Pouya 2 , Nasrin Sakhaian Haji Mohammadi 3
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Keywords: Emerging Technologies, Road Transportation, Technology Identification, Technology Assessment, Multi- Criteria Decision Making (MCDM), TOPSIS.,
Abstract :
In today's world, issues such as the depletion of energy resources, environmental pollution, the increase in material and spiritual damages caused by accidents, the supervision and management of intercity transportation, the increase in wasted time, and the rapid growth of transportation demand in the world have become a serious problem in the road transportation sector. This is while the existence of smooth and safe transportation is one of the most fundamental infrastructures for development and increasing the level of well-being and social welfare in any country. On the other hand, the rapid growth of emerging technologies that play a driving role in various industries and economic sectors and guide the transportation industry towards becoming intelligent, increasing efficiency, and raising the level of service quality has attracted the attention of policymakers and planners in the country to use these emerging technologies to solve the serious problems in this field. Due to the limitations of resources, naturally, a comprehensive understanding and then prioritization of these technologies can be a step towards getting out of the current situation. In this research, an attempt has been made to identify emerging technologies in road transportation by conducting library studies and then prioritizing them using the multi-criteria decision-making method (TOPSIS). The results indicate that according to the indicators of national strategic goals in this sector, the "smart communication networks" technology ranks first, followed closely by "traffic automation" and "smart buses" technologies in the second and third ranks, respectively, with an index close to the first rank.
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