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This study aimed to investigate various aspects of cyclist exposure to common urban air pollutants, including CO, PM10, PM2.5, PM1.0 and UFPs. The initial part of the study compared cyclist exposure to that of other transport modes, while the second part addressed the implications of route choice. The final part analysed the effect of proximity to traffic. Data was collected in Christchurch and Auckland cities over a nine week period, with a total of 53 inter-modal and 7 separate cyclist sampling runs completed. Mobile sampling was conducted using a collection of instruments in four portable kits. Fixed-site meteorological data was used to find associations between pollutants and temperature and wind speed. Spatial patterns were also considered by means of time-series comparative graphs and colour-coded pollutant concentration GPS mapping. The cyclist mode was up to 61% less exposed than the car for primary pollutants (CO and UFPs), but up to 26% more exposed for PM1.0-10. The bus was generally the most exposed for all pollutants apart from CO. The effect of route choice was substantial, with the off-road cyclist route recording a reduction of 31% for CO and PM1.0, and 53% for UFPs while PM10 was 6%. At a distance of 7 m from traffic, exposure dropped by 30% (UFPs), 22% (CO) and 14% (PM2.5). At 19 m, concentrations decreased a further 17%, 13% and 8%, respectively. When moving much further away from traffic (~700 m), the effect was far less pronounced and no difference was observed for CO past 19 m. Conclusions suggest that for most pollutants studied, the cyclist mode faces much lower exposure than other modes, especially when traveling through backstreets and cycle tracks. Significant exposure reductions can also be made when only a very small distance away from traffic emissions. This has positive implications for health, sustainable city planning and active-mode transport promotion.

Purpose The purpose of this thesis is to provide a deeper understanding of how e-commerce companies within the fashion industry are working with lead times and illustrate and analyse differences and similarities between companies. Research question - In which ways are e-commerce companies within the fashion industry working with short lead times? Methodology This thesis is based on a qualitative research method in order to achieve a greater understanding of the chosen topic, of how the chosen companies are operating and to provide room to our own interpretations and reflections. Interviews through telephone were used to gather the empirical data from six different e-commerce companies within the fashion industry. Conclusions After completing the theoretical and empirical analysis it can be concluded that lead times are considered essential for all of the participating companies but there is a difference in which way they look at, and how they work with lead times. Some companies stressed that short lead times are an important aspect of competition and claimed that this is something they are constantly working with. For others the balance and matching of supply and demand was the most important factor rather than to achieve short lead times. These differences can be due to different groups of customers with different sensitivity to trends, whether e-commerce is a primary or secondary sales channel as well as the companies ability and willingness to influence their lead times. The key elements in working with lead times is making preparations for activities, to have a good relationship with the suppliers, to conduct analysis of the supply chain processes and to keep a certain stock level in the distribution.

Empirical mode decomposition was proposed recently as a time frequency analysis tool for nonlinear and nonstationary signals. Despite from its many advantages, problems such as “uniqueness” problem have been discovered which limit the application. Although this problem has been addressed to some extent by various extensions of the original algorithm, the solution is far from satisfactory in some scenarios. In this work we propose two variants of the original algorithm, with emphasis on providing unified representations. R-EMD makes use of a set of reference signals to guide the decomposition therefore guarantees unified representation for multiple 1D signals. 2D- BEMD takes advantage of a projection procedure and is capable of providing unified representation between a pair of 2D signals. Application of the proposed algorithms on different problems in biometric and image processing demonstrates promising results and indicates the effectiveness of the proposed framework.

Syftet med denna studie är att se på hur begreppet etniskt mode används i praktiken inom dagens modejournalistik och inom den mode- och dräkthistoriska litteraturen, med utgångspunkt i hur etniskt mode och dräkt presenteras i forskningen. Etniskt mode som idag är ett väl använt begrepp som visar sig ha många olika innebörder. För det har visat sig att man med begreppet etniskt mode menar olika saker inom forskningen respektive inom mode- och dräkthistoriska översiktsverk samt inom modejournalistiken.

This study aimed to investigate various aspects of cyclist exposure to common urban air pollutants, including CO, PM10, PM2.5, PM1.0 and UFPs. The initial part of the study compared cyclist exposure to that of other transport modes, while the second part addressed the implications of route choice. The final part analysed the effect of proximity to traffic. Data was collected in Christchurch and Auckland cities over a nine week period, with a total of 53 inter-modal and 7 separate cyclist sampling runs completed. Mobile sampling was conducted using a collection of instruments in four portable kits. Fixed-site meteorological data was used to find associations between pollutants and temperature and wind speed. Spatial patterns were also considered by means of time-series comparative graphs and colour-coded pollutant concentration GPS mapping. The cyclist mode was up to 61% less exposed than the car for primary pollutants (CO and UFPs), but up to 26% more exposed for PM1.0-10. The bus was generally the most exposed for all pollutants apart from CO. The effect of route choice was substantial, with the off-road cyclist route recording a reduction of 31% for CO and PM1.0, and 53% for UFPs while PM10 was 6%. At a distance of 7 m from traffic, exposure dropped by 30% (UFPs), 22% (CO) and 14% (PM2.5). At 19 m, concentrations decreased a further 17%, 13% and 8%, respectively. When moving much further away from traffic (~700 m), the effect was far less pronounced and no difference was observed for CO past 19 m. Conclusions suggest that for most pollutants studied, the cyclist mode faces much lower exposure than other modes, especially when traveling through backstreets and cycle tracks. Significant exposure reductions can also be made when only a very small distance away from traffic emissions. This has positive implications for health, sustainable city planning and active-mode transport promotion.

Zugl.: Münster (Westfalen), Univ., Diss., 2006

Zugl.: Münster (Westfalen), Univ., Diss., 2006