Providing a high quality of service in public transportation is essential to reduce dissatisfactions stemming from traffic congestion and noise. Public transport providers need to find ways to dilute the effects of immoderate use of private cars in big cities while maintaining a sufficient level of customer satisfaction. This study aimed to identify the key service quality (SQ) factors that drive passenger satisfaction in Istanbul’s rail transit (RT) system using data obtained from an extensive survey conducted by the Istanbul Public Transportation Co. A total of 11,116 passengers who used rail transport from May 15–June 3, 2012, and June 17–July 3, 2013, were interviewed in person. The relative importance of the SQ factors was assessed so that service provision could be prioritized and the enhancement of passenger satisfaction can be achieved employing several social choice techniques. The results indicate that, from an overall perspective, waiting time, crowdedness in cars, and fare are the SQ factors that best reflect the public good.

Academic papers are essential for researchers to communicate their work to their peers and industry experts. Quality research is published in prestigious scientific journals, and is considered as part of the hiring and promotion criteria at leading universities. Scientific journals conduct impartial and anonymous peer reviews of submitted manuscripts; however, individuals involved in this process may encounter issues related to the duration, impartiality, and transparency of these reviews. To explore these concerns, we created a questionnaire based on a comprehensive review of related literature and expert opinions, which was distributed to all stakeholders (authors, reviewers, and editors) who participated in the peer‐review process from a variety of countries and disciplines. Their opinions on the primary issues during the process and suggestions for improvement were collected. The data were then analysed based on various groups, such as gender, country of residence, and contribution type, using appropriate multivariate statistical techniques to determine the perceptions and experiences of participants in the peer‐review process. The results showed that unethical behaviour was not uncommon and that editors and experienced reviewers encountered it more frequently. Women and academics from Türkiye were more likely to experience ethical violations and perceived them as more ethically severe. Incentives and stakeholder involvement were seen as ways to enhance the quality and impartiality of peer review. The scale developed can serve as a useful tool for addressing difficulties in the peer‐review process and improving its effectiveness and performance.

This paper analyzes the impact of climate change on Turkey’s residential, industrial and commercial electricity demand by applying the Structural Time Series Model. The model consists of explanatory variables and uses annual time series data for the period from 1980 to 2017. The variables included are electricity price, income per capita, urbanization rate, manufacturing added value, population-weighted cooling degree days (as a climate variable) and, finally, stochastic Underlying Energy Demand Trend. The effect of cooling degree days on the residential, industrial and commercial electricity demand is found to be significantly elastic. Moreover, residential, industrial and commercial electricity demands in 2031 are expected to increase considerably, and at different ratios, depending on the chosen climate change scenario. The findings of this study are significant for efforts to establish regulations to shape energy security policies in the presence of climate change.

Due to rapid industrialization and urbanization, social economy develops in an unparalleled speed, while it certainly fosters the consumption of natural resources and the pressure to protect the ecological environment. Hence, there is a two-way relationship between the well-being of humans and the natural environment. In this study, link analysis techniques along with multivariate statistical analysis were employed to discover the effects of environmental risk factors on city life cycle, where suicides, immigration, and emigration were considered as the fundamental indicators of how cities evolve. Association rules, classification trees, MANOVA, and linear discriminant analysis were applied to data on air quality, socioeconomic development, and demographical factors belonging to the cities of Turkey. The results indicate that socioeconomic development levels of cities differ along attraction and life satisfaction dimensions. People tend to choose a city with better development level and better air quality in order to increase their life satisfaction. Additionally, developed cities are less likely to have issues with air quality and citizens who live in a poorly developed city are least satisfied with their lives.