This paper presents an empirical investigation to study the relationship between emotional intelligence and job performance in railroad industry. The study uses two questionnaires, one for measuring emotional intelligence adopted from Salovey and Mayer (1989) [Salovey, P., & Mayer, J. D. (1989). Emotional intelligence. Imagination, Cognition and Personality, 9(3), 185-211.] and the other one for measuring job performance. The study selects 300 full time employees who work for railroad industry in city of Tehran, Iran, distributes two questionnaires among the employees and managed to collect all filled ones. Using Spearman correlation, the study has determined a positive and meaningful relationship between emotional intelligence and job performance (r = 0.796, Sig. = 0.000). In addition, there were positive and meaningful relationships between four components of emotional intelligence, namely consciousness (r = 0.642, Sig. = 0.000), self-regulation (r = 0.41, Sig. = 0.000), self-awareness ( r = 0.552, Sig. = 0.000) and social skills (r = 0.524, Sig. = 0.000).

One of the most important issues on construction projects is to make sure that the project is completed on time. In this paper, we present an empirical investigation to verify the effects of four factors namely procedures, technical factors, financial strength and domestic affairs on creating delay on completion of projects. The study uses two measures of Pearson and Spearman correlation tests to examine all hypotheses of the survey. The study designs a questionnaire and distributes it among 40 experts chosen from managers and specialist in railroad construction projects in Iran. The results have confirmed that all four factors influence on creating possible delay on such project, significantly.

Safety is one of the main reasons for choosing railway to other transportation modes and improvement of transportation safety has attracted many researchers in recent years. In this paper, we aim to investigate the influence of safety measures on railways performance evaluation, empirically. The proposed model of this paper uses data envelopment analysis (DEA) to estimate the railways efficiency scores in the presence of safety measure. According to three proposed factors, the most appropriate model is selected to compare its result with output-oriented DEA model. The results of the survey are surprising since inefficient railroads become efficient through adding undesirable outputs in evaluation model.

Railroad maintenance engineering plays an important role on availability of roads and reducing the cost of railroad incidents. Rail is of the most important parts of railroad industry, which needs regular maintenance since it covers a significant part of total maintenance cost. Any attempt on optimizing total cost of maintenance could substantially reduce the cost of railroad system and it can reduce total cost of the industry. The paper presents a new method to estimate the cost of rail failure using different cost components such as cost of inspection and cost of risk associated with possible accidents. The proposed model of this paper is used for a real-world case study of railroad transportation of Tehran region and the results have been analyzed.