Measuring CO2 emissions induced by online and brick-and-mortar retailing

We develop a method for empirically measuring the difference in carbon footprint between traditional and online retailing (“e-tailing”) from entry point to a geographical area to consumer residence. The method only requires data on the locations of brick-and-mortar stores, online delivery points, and residences of the region’s population, and on the goods transportation networks in the studied region. Such data are readily available in most countries, so the method is not country or region specific. The method has been evaluated using data from the Dalecarlia region in Sweden, and is shown to be robust to all assumptions made. In our empirical example, the results indicate that the average distance from consumer residence to a brick-and-mortar retailer is 48.54 km in the studied region, while the average distance to an online delivery point is 6.7 km. The results also indicate that e-tailing increases the average distance traveled from the regional entry point to the delivery point from 47.15 km for a brick-and-mortar store to 122.75 km for the online delivery points. However, as professional carriers transport the products in bulk to stores or online delivery points, which is more efficient than consumers’ transporting the products to their residences, the results indicate that consumers switching from traditional to e-tailing on average reduce their CO2 footprints by 84% when buying standard consumer electronics products. 

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.

Att bli, att vara och att ha varit - om ingångar i och utgångar ur Jehovas vittnen i Sverige

Summary To become, to be and to have been: about the  Jehovah’s Witnesses The Watchtower Bible and Tract Society, in the following text referred to as the Jehovah’s Witnesses or “the organisation”, is a worldwide Christian organisation with about 6.7 million members. The organisation has many times, without any success so far, proclaimed Armageddon when they expect Jehovah to return to Earth. They interpret the Bible in their own, often very literal way, and require their members to live according to these interpretations. Among the consequences of this, members are forbidden to vote, to do military service or to receive blood transfusions. Apart from attending the three weekly meetings, members are expected to be active in missionary work, known as “publishing”. If a member fails to do a certain number of hours’ publishing, he or she risks being deprived of active membership status Sweden in general is considered to be a society where the population is not very religious. The formerly state-governed Lutheran church has lost its influence and the vast majority of ordinary Swedes do not visit church on other occasions than weddings, funerals or christenings. Expressing one’s own religious values has become somewhat of a private matter where publicity is seldom appreciated, which is contrary to the practice of the Jehovah’s Witnesses. This is one of the reasons why the Jehovah’s Witnesses are commonly perceived by average Swedes as a “suspicious” religious organisation. The aim and methods of the study This dissertation seeks to describe and investigate the entering and leaving of a highly structured and hierarchical religious community, exemplified in this case by the Jehovah’s Witnesses. What are the thoughts and aspirations of someone who is considering becoming a Jehovah’s Witness? What are the priorities and what experiences seem important when a person is going through such a process? And when this person has finally reached his or her goal of becoming a member, is it the same motivation that makes him or her stay in the organisation for longer periods of time, possibly for the rest of their lives, or does it change during the process of entering, or does this motivation change its character during the transition from entering to being a regular member? Why do some of the members change their attitude to the Jehovah’s Witnesses from rejoicing to bitterness? And how does this process of exit manifest itself? In what way is it different from the process of entry? The respondents in this study were chosen from both active members of the Jehovah’s Witnesses in Sweden and those who have left the organisation for personal reasons. Repeated interviews with ten active members of the organisation have been conducted in the course of the study and compared to equal numbers of former members. The interviews have been semi-structured to deal with questions of how a person has come into contact with the organisation; how they retrospectively experienced the process of entry; the reasons for becoming a member. Questions have also been asked about life in the organisation. The group of “exiters” have also been asked about the experience of leaving, why they wanted to leave, and how this process was started and carried out. In addition to this I have analysed a four-year diary describing the time inside and the process of leaving the organisation. This has given me an extra psychological insight into the inner experience of someone who has gone through the whole process. The analysis has been done by categorising the content of the transcribed interviews. An attempt to outline a model of an entry and exit process has been made, based on ideas and interpretations presented in the interviews. The analysis of the diary has involved thorough reading, resulting in a division of it into four different parts, where each part has been given a certain key-word, signifying the author’s emotional state when writing it. A great deal of the information about the Jehovah’s Witnesses has been collected through discussion boards on the Internet, informal talks with members and ex-members, interviews with representatives of the organisations during visits to its different offices (Bethels), such as St. Petersburg, Russia, and Brooklyn, New York, USA. The context Each organisation evolves in its own context with its own norms, roles and stories that would not survive outside it. With this as a starting point, there is a chapter dedicated to the description of the organisation’s history, structure and activities. It has been stated that the organisation’s treatment of its critical members and the strategies for recruiting new members have evolved over the years of its history. At the beginning there was an openness allowing members to be critical. As the structure of the organisation has become more rigid and formalised, the treatment of internal critics has become much less tolerated and exclusion has become a frequent option. As a rule many new members have been attracted to the organisation when (1) the day of Armageddon has been pronounced to be approaching; (2) the members of the organisation have been persecuted or threatened with persecution; and (3) the organisation has discovered a “new market”. The processes for entering and exiting How the entering processes manifest themselves depends on whether the person has been brought up in the organisation or not. A person converting as an adult has to pass six phases before being considered a Jehovah’s Witness by the organisation. These are:  Contact with the Jehovah’s Witnesses, Studying the bible with members of the organisation, Questioning, Accepting, Being active as publisher (spreading the belief), Being baptised.  For a person brought up in the organisation, the process to full membership is much shorter:   Upbringing in the organisation, Taking a stand on the belief, Being baptised. The exit process contains of seven phases:   Different levels of doubts, Testing of doubts, Turning points, Different kinds of decisions, Different steps in executing the decisions, Floating, a period of emotional and cognitive consideration of membership and its experiences, Realtive neutrality.   The process in and the process out are both slow and are accompanied with anguish and doubts. When a person is going through the process in or out of the organisation he or she experiences criticism. This is when people around the adept question the decision to continue in the process. The result of the criticism depends on where in the process the person is. If he or she is at the beginning of the process, the criticism will probably make the person insecure and the process will slow down or stop. If the criticism is pronounced in a later phase, the process will probably speed up. The norms of the organisation affect the behaviour of the members. There are techniques for inclusion that both bind members to the organisation and shield them off from the surrounding society. Examples of techniques for inclusion are the “work situation” and “closed doors”. The work situation signifies that members who do as the organisation recommends – doing simple work – often end up in the same branch of industry as many other Jehovah’s Witnesses. This often means that the person has other witnesses as workmates. If the person is unemployed or moves to another town it is easy to find a new job through connections in the organisation. Doubts and exclusions can lead to problems since they entail a risk of losing one’s job. This can also result in problems getting a new job. Jehovah’s Witnesses are not supposed to talk to excluded members, which of course mean difficulties working together. “Closed doors” means that members who do as the organisation recommends – not pursuing higher education, not engaging in civil society, working with a manual or in other way simple job, putting much time into the organisation – will, after a long life in the organisation, have problems starting a new life outside the Jehovah’s Witnesses. The language used in the organisation shows the community among the members, thus the language is one of the most important symbols. A special way of thinking is created through the language. It binds members to the organisation and sometimes it can work as a way to get back into the normative world of the organisation. Randall Collins’s (1990, 2004) thoughts about “emotional energy” have enabled an understanding of the solidarity and unity in the organisation. This also gives an understanding of the way the members treat doubting and critical members. The members who want to exit have to open up the binding/screening off. A possible way to do that is through language, to become aware of the effect the language might have. Another way is to search for emotional energy in another situation. During the exit process, shame might be of some importance. When members become aware of the shame they feel, because they perceive they are “acting a belief”, the exit process might accelerate.

How does data quality in a network affect heuristic solutions?

To have good data quality with high complexity is often seen to be important. Intuition says that the higher accuracy and complexity the data have the better the analytic solutions becomes if it is possible to handle the increasing computing time. However, for most of the practical computational problems, high complexity data means that computational times become too long or that heuristics used to solve the problem have difficulties to reach good solutions. This is even further stressed when the size of the combinatorial problem increases. Consequently, we often need a simplified data to deal with complex combinatorial problems. In this study we stress the question of how the complexity and accuracy in a network affect the quality of the heuristic solutions for different sizes of the combinatorial problem. We evaluate this question by applying the commonly used p-median model, which is used to find optimal locations in a network of p supply points that serve n demand points. To evaluate this, we vary both the accuracy (the number of nodes) of the network and the size of the combinatorial problem (p). The investigation is conducted by the means of a case study in a region in Sweden with an asymmetrically distributed population (15,000 weighted demand points), Dalecarlia. To locate 5 to 50 supply points we use the national transport administrations official road network (NVDB). The road network consists of 1.5 million nodes. To find the optimal location we start with 500 candidate nodes in the network and increase the number of candidate nodes in steps up to 67,000 (which is aggregated from the 1.5 million nodes). To find the optimal solution we use a simulated annealing algorithm with adaptive tuning of the temperature. The results show that there is a limited improvement in the optimal solutions when the accuracy in the road network increase and the combinatorial problem (low p) is simple. When the combinatorial problem is complex (large p) the improvements of increasing the accuracy in the road network are much larger. The results also show that choice of the best accuracy of the network depends on the complexity of the combinatorial (varying p) problem.

Predicting entry of Swedish wholesale firms into local markets

Applying microeconomic theory, we develop a forecasting model for firm entry into local markets and test this model using data from the Swedish wholesale industry. The empirical analysis is based on directly estimating the profit function of wholesale firms. As in previous entry studies, profits are assumed to depend on firm- and location-specific factors,and the profit equation is estimated using panel data econometric techniques. Using the residuals from the profit equation estimations, we identify local markets in Sweden where firm profits are abnormally high given the level of all independent variables included in the profit function. From microeconomic theory, we then know that these local markets should have higher net entry than other markets, all else being equal, and we investigate this in a second step,also using a panel data econometric model. The results of estimating the net-entry equation indicate that four of five estimated models have more net entry in high-return municipalities, but the estimated parameter is only statistically significant at conventional levels in one of our estimated models.

Implementation of Video Monitoring In Aluminium Industry

The aim was to evaluate results and experiences from development of new technology, a training program and implementation of strategies for the use of a video exposure monitoring method, PIMEX. Starting point of this study is an increased incidence of asthma among workers in the aluminium industry. Exposure peaks of fumes are supposed to play an important role. PIMEX makes it possible to link used work practice, use of control technology, and so forth to peaks. Nine companies participated in the project, which was divided into three parts, development of PIMEX technology, production of training material, and training in use of equipment and related strategies. The use of the video exposure monitoring method PIMEX offers prerequisites supporting workers participation in safety activities. The experiences from the project reveal the importance of good timing of primary training, technology development, technical support, and follow up training. In spite of a delay of delivery of the new technology, representatives from the participating companies declared that the experiences showed that PIMEX gave an important contribution for effective control of hazards in the companies. Eight out of nine smelters used the PIMEX method as a part of a strategy for control of workers exposure to fumes in potrooms. Possibilities to conduct effective control measures were identified. This article describes experiences from implementation of a, for this branch, new method supporting workers participation for workplace improvements.

Speed prediction for triggering vehicle activated signs

Accurate speed prediction is a crucial step in the development of a dynamic vehcile activated sign (VAS). A previous study showed that the optimal trigger speed of such signs will need to be pre-determined according to the nature of the site and to the traffic conditions. The objective of this paper is to find an accurate predictive model based on historical traffic speed data to derive the optimal trigger speed for such signs. Adaptive neuro fuzzy (ANFIS), classification and regression tree (CART) and random forest (RF) were developed to predict one step ahead speed during all times of the day. The developed models were evaluated and compared to the results obtained from artificial neural network (ANN), multiple linear regression (MLR) and naïve prediction using traffic speed data collected at four sites located in Sweden. The data were aggregated into two periods, a short term period (5-min) and a long term period (1-hour). The results of this study showed that using RF is a promising method for predicting mean speed in the two proposed periods.. It is concluded that in terms of performance and computational complexity, a simplistic input features to the predicitive model gave a marked increase in the response time of the model whilse still delivering a low prediction error.

Regionalekonomisk betydelse av travsporten : exemplet Dalatravet Rättvik

Tidigare studier har visat att hästnäringen inklusive spridningseffekter årligen omsätter ca 46 miljarder kronor och bidrar till sysselsättning för ca 30 000 helårsverken. Motsvarande beräkningar för travsportens del av hästnäringen eller för en mindre region finns däremot inte. Denna rapport syftar till att uppskatta regionalekonomisk betydelse av travsport i Sverige med utgångspunkt i en mindre travbanas verksamhet. Dalatravet Rättvik (DT Rättvik) används som en fallstudie. Resultaten baseras dels på registerdata över faktiskt registrerade hästar med koppling till DT Rättvik dels på enkätmaterial insamlat från ett urval av besökare vid tävlingar under sommaren 2014. Totalt används svar från 444 besökare i analysen. Resultaten från beräkningarna visar att den direkta ekonomiska effekten av DT Rättviks 333 travhästar i amatör- eller proffsträning genererar 20 miljoner i travhästtrelaterad konsumtion. DT Rättviks travsportevenemang uppskattas generera ca 29 miljoner varav 11,1 miljoner ärett tillskott till den regionala ekonomin i form av turistekonomisk omsättning. Travsportens sammanlagda regionalekonomiska effekt beräknas således uppgå till minst 31,1 miljonerkronor. Inkluderas även utbildning, avel och uppfödning samt sysselsättning vid ATG-ombudså uppskattas travsporten generera ca 40 helårsverken inom DT Rättviksregionen.  

Benchmark Evaluation of HOG Descriptors as Features for Classification of Traffic Signs

The purpose of this paper is to analyze the performance of the Histograms of Oriented Gradients (HOG) as descriptors for traffic signs recognition. The test dataset consists of speed limit traffic signs because of their high inter-class similarities.   HOG features of speed limit signs, which were extracted from different traffic scenes, were computed and a Gentle AdaBoost classifier was invoked to evaluate the different features. The performance of HOG was tested with a dataset consisting of 1727 Swedish speed signs images. Different numbers of HOG features per descriptor, ranging from 36 features up 396 features, were computed for each traffic sign in the benchmark testing. The results show that HOG features perform high classification rate as the Gentle AdaBoost classification rate was 99.42%, and they are suitable to real time traffic sign recognition. However, it is found that changing the number of orientation bins has insignificant effect on the classification rate. In addition to this, HOG descriptors are not robust with respect to sign orientation.

To what extent are CO2 emissions from intra-urban shopping trips by cars affected by drivers’ travel behaviour and store location?

Transportation is seen as one of the major sources of CO2 pollutants nowadays. The impact of increased transport in retailing should not be underestimated. Most previous studies have focused on transportation and underlying trips, in general, while very few studies have addressed the specific affects that, for instance, intra-city shopping trips generate. Furthermore, most of the existing methods used to estimate emission are based on macro-data designed to generate national or regional inventory projections. There is a lack of studies using micro-data based methods that are able to distinguish between driver behaviour and the locational effects induced by shopping trips, which is an important precondition for energy efficient urban planning. The aim of this study is to implement a micro-data method to estimate and compare CO2 emission induced by intra-urban car travelling to a retail destination of durable goods (DG), and non-durable goods (NDG). We estimate the emissions from aspects of travel behaviour and store location. The study is conducted by means of a case study in the city of Borlänge, where GPS tracking data on intra-urban car travel is collected from 250 households. We find that a behavioural change during a trip towards a CO2 optimal travelling by car has the potential to decrease emission to 36% (DG), and to 25% (NDG) of the emissions induced by car-travelling shopping trips today. There is also a potential of reducing CO2 emissions induced by intra-urban shopping trips due to poor location by 54%, and if the consumer selected the closest of 8 existing stores, the CO2 emissions would be reduced by 37% of the current emission induced by NDG shopping trips.

Young peoples’ entrance to the workplace : Introduction to occupational health and safety

Negative outcomes of a poor work environment are more frequent among young workers. The aim of the current study was to study former pupils’ conditions concerning occupational health and safety by investigating the workplaces’, safety climate, the degree of implementation of SWEM and the their introduction programs. Four branches were included in the study: Industrial, Restaurant, Transport and Handicraft, specialising in wood. Semi-structured dialogues were undertaken with 15 employers at companies in which former pupils were employed. They also answered a questionnaire about SWEM. Former pupils and experienced employees were upon the same occasion asked to fill in a questionnaire about safety climate at the workplace. Workplace introduction programs varied and were strongly linked to company size. Most of the former pupils and experienced employees rated the safety climate at their company as high, or good. Employers in three of the branches rated the SWEM implemented at their workplaces to be effective. The Industry companies, which had the largest workplaces, gave the most systematic and workplace introduction for new employees. There are no results from this study explaining the fact that young workers have a higher risk for workplace accidents.

Simulação numérica de escoamentos hipersônicos em não-equilíbrio termo-químico através do método dos elementos finitos

o presente trabalho tem por objetivo desenvolver um código computacional destinado à simulaçáo numérica tridimensional e de escoamentos compressíveis hipersônicos em especial para analisar o processo de reentrada de veículos espaciais na atmosfera terrestre. Devido ás temperaturas elevadas encontradas neste tipo de escoamento, efeitos de altas temperaturas sáo incluídos, como excitação vibracional das moléculas e reações químícas. Utiliza-se o modelo de 2 temperaturas (translacional e vibracional);5 espécíes (N2, O2, NO, N, O) e 17 reações químicas de Park [1986 para o modelamento do fenômeno termo-químico. Introduz-se uma formulação baseada no método dos elementos finitos, através do esquema de Taylor-Calerkin, para a discretização do tempo e do espaço e para a solução do sistema de equações. Alguns exemplos e aplicações de problemas hipersônicos bi e tridimensionais, difusivos e não difusivos, são apresentados, incluindo comparações entre os resultados obtidos no presente trabalho e na literatura.

Um Sistema multiagente para o Simulador Soccerserver

O interesse de pesquisa da comunidade de Inteligência Artificial em Sistemas Multiagentes tem gerado o crescimento da utilização de técnicas de agentes nas mais diversas áreas da ciência da computação. Isso ocorre, principalmente, devido à variedade de aplicações em que esses sistemas podem ser usados, como por exemplo: jogos de computadores, interfaces adaptativas, simulação e controle de processos industriais. The Robot World Cup Initiative (RoboCup) é uma tentativa de estimular a área de Inteligência Artificial e, principalmente de Sistemas Multiagentes, por promover um problema padrão, jogar futebol, onde uma ampla cadeia de tecnologias podem ser integradas, examinadas e comparadas. A utilização do ambiente da RoboCup para a simulação de uma partida de futebol (simulador Soccerserver) permite a avaliação de diferentes técnicas de Sistemas Multiagentes (planejamento de estratégias, conhecimento em tempo real, colaboração de agentes, princípios de agentes autônomos, entre outros) e estimula as pesquisas, investigações e testes que possibilitem a construção gradativa de agentes avançados. O presente trabalho tem por objetivo o desenvolvimento de um time de futebol para o simulador Soccerserver. A idéia principal é desenvolver agentes jogadores que demonstrem um nível considerável de competência para a realização de suas tarefas, como percepção, ação, cooperação, estratégias pré-definidas, decisão e previsão. Inicialmente, apresenta-se uma visão geral sobre Inteligência Artificial Distribuída e sobre o simulador Soccerserver, pré-requisitos para o restante do trabalho. A seguir, é realizado um estudo sobre algumas arquiteturas de agentes (clientes) do Soccerserver. A arquitetura proposta na dissertação, suas principais características e a sua materialização em um protótipo desenvolvido correspondem à parte principal do trabalho. Finalmente são apresentados os testes realizados e as conclusões do trabalho.