High Speed Train

Nowadays Iran’s position on the international corridors, the loss of Iran's roads accidents and the emergence of environmental and energy issues, have made the development of transportation in Iran a prerequisite. The purpose of this research is to identify the effective factors on the he high speed train technology transfer and provide t its framework. Data collection has been done with library and field studies. After these stages, from 73 extracted indicators, 54 main indicators were selected by the experts of the rail transportation technology field. According to these indices, the research questionnaire was designed and distributed. Finally, after completion of the questionnaires by 37 experts in the technology transfer field, the collected data were analysed using structural equations and PLS Smart software and the research model was fitted. The 49 indicators were accepted in 3 factors and 8 dimensions for the designed model. Also the results indicate that in the selecting and acquiring technology factor,the technology selection ranked first, the technology acquisition ranked second and technology recognition ranked third and in the Deployment factor, the technology adaptation and localization,the technology absorption and analysis and technology exploitation dimensions were ranked first to third respectively and in the maintaining factor, the technology development and improvement and technology diffusion dimensions ranked first and second respectively.

The purpose of this study is to provide a model with a dynamic system method to investigate the factors affecting the technological capabilities enhancement in the high-tech industries of high-speed train of the rail transportation system. For this purpose, after reviewing the literature and conducting several meetings with experts in the rail transportation industry, a conceptual and qualitative structure of the subsystems and how they relate in this area were obtained. Then, in order to identify the effective dynamics in upgrading technological capabilities in high-tech industries in high-speed rail transportation, causal loops were drawn and the model was simulated with VENSIM software. Then, using a simulation model, the technology development process was modeled based on the developed structure. Finally, in order to consider the uncertainty space, based on the expert’s opinions, two scenarios of optimism and pessimism were considered. Based on the obtained results, variables such as having a suitable vision for technology development, recognizing basic technological priorities, ability to use and control technology effectively in main and support processes, ability to learn from one technology to another, ability to identify, evaluate, negotiate and finalize the terms of technology acquisition and support facilities, the ability to identify customers, announce auction prices and negotiate terms of sale, the ability to plan, monitor and control research and development projects and having  a proper system for evaluating technological projects,  have  great impact.