The effect on CO2 emissions of taxing truck distance in retail transports

To finance transportation infrastructure and to address social and environmental negative externalities of road transports, several countries have recently introduced or consider a distance based tax on trucks. In competitive retail and transportation markets, such tax can be expected to lower the demand and thereby reduce CO2 emissions of road transports. However, as we show in this paper, such tax might also slow down the transition towards e-tailing. Considering that previous research indicates that a consumer switching from brick-and-mortar shopping to e-tailing reduces her CO2 emissions substantially, the direction and magnitude of the environmental net effect of the tax is unclear. In this paper, we assess the net effect in a Swedish regional retail market where the tax not yet is in place. We predict the net effect on CO2 emissions to be positive, but off-set by about 50% because of a slower transition to e-tailing.

Novel Statistical Methods in Quantitative Genetics : Modeling Genetic Variance for Quantitative Trait Loci Mapping and Genomic Evaluation

This thesis develops and evaluates statistical methods for different types of genetic analyses, including quantitative trait loci (QTL) analysis, genome-wide association study (GWAS), and genomic evaluation. The main contribution of the thesis is to provide novel insights in modeling genetic variance, especially via random effects models. In variance component QTL analysis, a full likelihood model accounting for uncertainty in the identity-by-descent (IBD) matrix was developed. It was found to be able to correctly adjust the bias in genetic variance component estimation and gain power in QTL mapping in terms of precision.  Double hierarchical generalized linear models, and a non-iterative simplified version, were implemented and applied to fit data of an entire genome. These whole genome models were shown to have good performance in both QTL mapping and genomic prediction. A re-analysis of a publicly available GWAS data set identified significant loci in Arabidopsis that control phenotypic variance instead of mean, which validated the idea of variance-controlling genes.  The works in the thesis are accompanied by R packages available online, including a general statistical tool for fitting random effects models (hglm), an efficient generalized ridge regression for high-dimensional data (bigRR), a double-layer mixed model for genomic data analysis (iQTL), a stochastic IBD matrix calculator (MCIBD), a computational interface for QTL mapping (qtl.outbred), and a GWAS analysis tool for mapping variance-controlling loci (vGWAS).

How does the use of different road networks effect the optimal location of facilities in rural areas?

The p-median problem is often used to locate P service facilities in a geographically distributed population. Important for the performance of such a model is the distance measure. Distance measure can vary if the accuracy of the road network varies. The rst aim in this study is to analyze how the optimal location solutions vary, using the p-median model, when the road network is alternated. It is hard to nd an exact optimal solution for p-median problems. Therefore, in this study two heuristic solutions are applied, simulating annealing and a classic heuristic. The secondary aim is to compare the optimal location solutions using dierent algorithms for large p-median problem. The investigation is conducted by the means of a case study in a rural region with an asymmetrically distributed population, Dalecarlia. The study shows that the use of more accurate road networks gives better solutions for optimal location, regardless what algorithm that is used and regardless how many service facilities that is optimized for. It is also shown that the simulated annealing algorithm not just is much faster than the classic heuristic used here, but also in most cases gives better location solutions.

Adolescent boys’ health : managing emotions, masculinities and subjective social status

The health of adolescent boys is complex and surprisingly little is known about how adolescent boys perceive, conceptualise and experience their health. Thus, the overall aim of this thesis was to explore adolescent boys’ perceptions and experiences of health, emotions, masculinity and subjective social status (SSS). This thesis consists of a qualitative, a quantitative and a mixed methods study. The qualitative study aimed to explore how adolescent boys understand the concept of health and what they find important for its achievement. Furthermore, the adolescent boys’ views of masculinity, emotion management and their potential effects on wellbeing were explored. For this purpose, individual interviews were conducted with 33 adolescent boys aged 16-17 years. The quantitative study aimed to investigate the associations between pride, shame and health in adolescence. Data were collected through a cross-sectional postal survey with 705 adolescents. The purpose of the mixed methods study was to investigate associations between SSS in school, socioeconomic status (SES) and self-rated health (SRH), and to explore the concept of SSS in school. Cross-sectional data were combined with interview data in which the meaning of SSS was further explored. Individual interviews with 35 adolescents aged 17-18 years were conducted. In the qualitative study, data were analysed using Grounded Theory. In the quantitative study, statistical analyses (e.g., chi-square test and uni- and multivariable logistic regression analyses) were performed. In the mixed method study, a combination of statistical analyses and thematic network analysis was applied. The results showed that there was a complexity in how the adolescent boys viewed, experienced, dealt with and valued health. On a conceptual level, they perceived health as holistic but when dealing with difficult emotions, they were prone to separate the body from the mind. Thus, the adolescent boys experienced a difference between health as a concept and health as an experience (paper I). Concerning emotional orientation in masculinity, two main categories of masculine conceptions were identified: a gender-normative masculinity and a non-gender-normative masculinity (paper II). Gender-normative masculinity comprised two seemingly opposite emotional masculinity orientations, one towards toughness and the other towards sensitivity, both of which were highly influenced by contextual and situational group norms and demands, despite that their expressions are in contrast to each other. Non-gender-normative masculinity included an orientation towards sincerity, emphasising the personal values of the boys. Emotions were expressed more independently of peer group norms. The findings suggest that different masculinities and the expression of emotions are intricately intertwined and that managing emotions is vital for wellbeing. The present findings also showed that both shame and pride were significantly associated with SRH, and furthermore, that there seems to be a protective effect of experiencing pride for health (paper III). The results also demonstrated that SSS is strongly related to SRH, and high SRH is related to high SSS, and further that the positioning was done in a gendered space (paper IV). Results from all studies suggest that the emotional and relational aspects, as well as perceived SSS, were strongly related to SRH. Positive emotions, trustful relationships and having a sense of belonging were important factors for health and pride was an important emotion protecting health. Physical health, on the other hand, had a more subordinated value, but the body was experienced as an important tool to achieve health. Even though health was mainly perceived in a holistic manner by the boys, there were boys who were prone to dichotomise the health experience into a mind-body dualism when having to deal with difficult emotions. In conclusion, this thesis demonstrates that young, masculine health is largely experienced through emotions and relationships between individuals and their contexts affected by gendered practices. Health is to feel and function well in mind and body and to have trusting relationships. The results support theories on health as a social construction of interconnected processes. Having confidence in self-esteem, access to trustful relationships and the courage to resist traditional masculine norms while still reinforcing and maintaining social status are all conducive to good health. Researchers as well as professionals need to consider the complexity of adolescent boys’ health in which norms, values, relationships and gender form its social determinants. Those working with young boys should encourage them to integrate physical, social and emotional aspects of health into an interconnected and holistic experience.

A Microdata Analysis Approach to Transport Infrastructure Maintenance

Maintenance of transport infrastructure assets is widely advocated as the key in minimizing current and future costs of the transportation network. While effective maintenance decisions are often a result of engineering skills and practical knowledge, efficient decisions must also account for the net result over an asset's life-cycle. One essential aspect in the long term perspective of transport infrastructure maintenance is to proactively estimate maintenance needs. In dealing with immediate maintenance actions, support tools that can prioritize potential maintenance candidates are important to obtain an efficient maintenance strategy. This dissertation consists of five individual research papers presenting a microdata analysis approach to transport infrastructure maintenance. Microdata analysis is a multidisciplinary field in which large quantities of data is collected, analyzed, and interpreted to improve decision-making. Increased access to transport infrastructure data enables a deeper understanding of causal effects and a possibility to make predictions of future outcomes. The microdata analysis approach covers the complete process from data collection to actual decisions and is therefore well suited for the task of improving efficiency in transport infrastructure maintenance. Statistical modeling was the selected analysis method in this dissertation and provided solutions to the different problems presented in each of the five papers. In Paper I, a time-to-event model was used to estimate remaining road pavement lifetimes in Sweden. In Paper II, an extension of the model in Paper I assessed the impact of latent variables on road lifetimes; displaying the sections in a road network that are weaker due to e.g. subsoil conditions or undetected heavy traffic. The study in Paper III incorporated a probabilistic parametric distribution as a representation of road lifetimes into an equation for the marginal cost of road wear. Differentiated road wear marginal costs for heavy and light vehicles are an important information basis for decisions regarding vehicle miles traveled (VMT) taxation policies. In Paper IV, a distribution based clustering method was used to distinguish between road segments that are deteriorating and road segments that have a stationary road condition. Within railway networks, temporary speed restrictions are often imposed because of maintenance and must be addressed in order to keep punctuality. The study in Paper V evaluated the empirical effect on running time of speed restrictions on a Norwegian railway line using a generalized linear mixed model.