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This article is from Indian Journal of Psychological Medicine , volume 31 . Abstract A cross-sectional study was conducted to get an insight into the psychological world of adolescence and to study the influence of locality and school-going activity on it. The study group comprised of 240 girls in the age group 12–18 years equally representing urban and rural areas. Using two psychological tests, namely Strengths and Difficulty Questionnaire and Health-Related Quality of Life Inventory, the results revealed that two-third of them were in the problematic and borderline category as per SDQ and one-third as per PedsQL. Further, there was a definite linear relationship between the total problem score of both scales. This was irrespective of the locale and school-going activity. The results indicate the need for building psychological infrastructure into the social system to help adolescents girls grow to their potential.

Given increasing concern about climate change, the trend toward low-carbon urban transport development has global appeal. The evaluation of low-carbon urban transport is a prerequisite for a transition toward low-carbon urban transport. However, most of the existing research focuses only on the absolute evaluation of urban transport CO 2 emissions, which do not represent the level of low-carbon urban transport. In addition, an absolute evaluation is not comparable across different cities over time because it ignores the effects of urban heterogeneity. Therefore, this paper develops a comparative evaluation method that considers the effects of urban population scale, population density and economic development. A benchmark model of per capita CO 2 emissions for different cities with different properties is established based on the relationships between urban population scale, population density, and economic development. Then, a comparative evaluation index is derived from the benchmark model to independently evaluate the effects of policy factors, which may reflect the level of low-carbon urban transport. As a result, cities with low-carbon urban transport can be identified. Furthermore, four urban transport transition types are identified: stable high-carbon transitions, stable low-carbon transitions, low-carbon transitions, and high-carbon transitions. These methods are applied to 180 cities worldwide to verify their effectiveness. This is the first time that 180 global cities have been compared using a unified and quantitative evaluation index of low-carbon urban transport.

Given increasing concern about climate change, the trend toward low-carbon urban transport development has global appeal. The evaluation of low-carbon urban transport is a prerequisite for a transition toward low-carbon urban transport. However, most of the existing research focuses only on the absolute evaluation of urban transport CO 2 emissions, which do not represent the level of low-carbon urban transport. In addition, an absolute evaluation is not comparable across different cities over time because it ignores the effects of urban heterogeneity. Therefore, this paper develops a comparative evaluation method that considers the effects of urban population scale, population density and economic development. A benchmark model of per capita CO 2 emissions for different cities with different properties is established based on the relationships between urban population scale, population density, and economic development. Then, a comparative evaluation index is derived from the benchmark model to independently evaluate the effects of policy factors, which may reflect the level of low-carbon urban transport. As a result, cities with low-carbon urban transport can be identified. Furthermore, four urban transport transition types are identified: stable high-carbon transitions, stable low-carbon transitions, low-carbon transitions, and high-carbon transitions. These methods are applied to 180 cities worldwide to verify their effectiveness. This is the first time that 180 global cities have been compared using a unified and quantitative evaluation index of low-carbon urban transport.