Distance measure and the p-median problem in rural areas

The p-median model is used to locate P facilities to serve a geographically distributed population. Conventionally, it is assumed that the population patronize the nearest facility and that the distance between the resident and the facility may be measured by the Euclidean distance. Carling, Han, and Håkansson (2012) compared two network distances with the Euclidean in a rural region witha sparse, heterogeneous network and a non-symmetric distribution of thepopulation. For a coarse network and P small, they found, in contrast to the literature, the Euclidean distance to be problematic. In this paper we extend their work by use of a refined network and study systematically the case when P is of varying size (2-100 facilities). We find that the network distance give as gooda solution as the travel-time network. The Euclidean distance gives solutions some 2-7 per cent worse than the network distances, and the solutions deteriorate with increasing P. Our conclusions extend to intra-urban location problems.

The effects of taxing truck distance on CO2 emissions from transports in retailing

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 the competitive retail market 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.

The program and treatment effect of summer jobs on girls’ post-schooling incomes

Public programs (of disputed effect) offering summer jobs or work while in high school to smooth the transition from school to work is commonplace. In this paper, 1447 girls in their first grade of high school between 1997-2003 and randomly allotted summer jobs via a program in Falun (Sweden) are followed 5-12 years after graduation. The program led to a substantially larger accumulation of income while in high school. The causal effect of the high school income on post-schooling incomes was substantial and statistically significant. The implied elasticity of 0.4 is however potentially inflated dueto heterogeneous effects.

A finite sample improvement of the fixed effects estimator : applied to technical infficiency

The FE ('fixed effects') estimator of technical inefficiency performs poorly when N ('number of firms') is large and T ('number of time observations') is small. We propose estimators of both the firm effects and the inefficiencies, which have small sample gains compared to the traditional FE estimator. The estimators are based on nonparametric kernel regression of unordered variables, which includes the FE estimator as a special case. In terms of global conditional MSE ('mean square error') criterions, it is proved that there are kernel estimators which are efficient to the FE estimators of firm effects and inefficiencies, in finite samples. Monte Carlo simulations supports our theoretical findings and in an empirical example it is shown how the traditional FE estimator and the proposed kernel FE estimator lead to very different conclusions about inefficiency of Indonesian rice farmers.

Growth, migration and unemployment across Swedish municipalities

Fundamental questions in economics are why some regions are richer than others, why their economic growth rates vary, whether their growth tends to converge and the key factors that contribute to the variations. These questions have not yet been fully addressed, but changes in the local tax base are clearly influenced by the average income growth rate, net migration rate, and changes in unemployment rates. Thus, the main aim of this paper is to explore in depth the interactive effects of these factors (and local policy variables) in Swedish municipalities, by estimating a proposed three-equation system. Our main finding is that increases in local public expenditures and income taxes have negative effects on subsequent local income growth. In addition, our results support the conditional convergence hypothesis, i.e. that average income tends to grow more rapidly in relatively poor local jurisdictions than in initially “richer” jurisdictions, conditional on the other explanatory variables.

Growth and Inequality : A study of Swedish municipalities

This paper explores the relationship between the growth rate of the average income and income inequality using data at the municipal level in Sweden for the period 1992-2007. We estimate a fixed effects panel data growth model where the within-municipality income inequality is one of the explanatory variables. Different inequality measures (Gini coefficient, top income shares, and measures of inequality in the lower and upper ends of the income distribution) are also examined. We find a positive and significant relationship between income growth and income inequality, measured as the Gini coefficient and top income shares, respectively. In addition, while inequality at the upper end of the income distribution is positively associated with the income growth rate, inequality at the lower end of the income distribution seems to be negatively related to the growth rate. Our findings also suggest that increased income inequality enhances growth more in municipalities with a high level of average income than in those with a low level of average income.

CO2 Emissions, GDP and trade : a panel cointegration approach

This paper examines the relationships among per capita CO2 emissions, per capita GDP and international trade based on panel data sets spanning the period 1960-2008: one for 150 countries and the others for sub-samples comprising OECD and Non-OECD economies. We apply panel unit root and cointegration tests, and estimate a panel error correction model. The results from the error correction model suggest that there are long-term relationships between the variables for the whole sample and for Non-OECD countries. Finally, Granger causality tests show that there is bi-directional short-term causality between per capita GDP and international trade for the whole sample and between per capita GDP and CO2 emissions for OECD countries

Estimated lifetimes of road pavements in Sweden using time-to-event analysis

Maintenance planning of road pavement requires reliable estimates of roads’ lifetimes. In determining the lifetime of a road, this study combines maintenance activities and road condition measurements. The scope of the paper is to estimate lifetimes of road pavements in Sweden with time to event analysis. The model used includes effects of pavement type, road type, bearing capacity, road width, speed limit, stone size and climate zone, where the model is stratified according to traffic load. Among the nine analyzed pavement types, stone mastic had the longest expected lifetime, 32 percent longer than asphalt concrete. Among road types, ordinary roads with cable barriers had 30 percent shorter lifetime than ordinary roads. Increased speed lowered the lifetime, while increased stone size (up to 20 mm) and increased road width lengthened the lifetime. The results are of importance for life cycle cost analysis and road management.

Svenska Skidspelen 2012 : Förstudie kring ekonomisk effekt- och konsumtionsmätning inför Skid-VM i Falun 2015

Denna rapport ska ses som en förstudie kring metoder för insamling av information över besökarna vid Svenska Skidspelen samt för att uppskatta Skidspelens ekonomiska betydelse. Resultaten baseras på insamlat material via enkäter till besökare till Skidspelen 2012. Totalt 404 svar i enkätform från besökare inom området samt från bil och bussåkande besökare har använts i analysen. Därutöver intervjuades 718 besökare vid entrén om ålder, bostadsort, vistelselängd samt färdmedel till evenemanget.   Rapporten innehåller uppskattningar av Skidspelens ekonomiska betydelse med hjälp av flera typer av modeller; turism-, boende- samt ålderssegmenteringsmodell. Resultat från studien visar att engångs­kostnader för boende, resor och biljett kunde uppskattas relativt bra, medan konsumtion under dagen inte fångades tillräckligt bra i någon modell. Resultaten från studien visar också att en försiktig uppskattning av Skidspelens ekonomiska betydelse mätt som direkt konsumtion kan sägas ligga mellan 14 - 18 miljoner kr för år 2012.   För att få ett mer korrekt resultat vid eventuella vidare studier eller vid studier av Skid-VM 2015 i Falun så bör en samhällsekonomisk välfärds analys göras för att inkludera samtliga effekter. Beräkningen av Skidspelens ekonomiska effekt skulle kunna göras mer precis genom att tillfråga ett större urval av besökare samt utveckla insamlingen av data över besökarnas totala konsumtion kopplat till besöket vid Svenska Skidspelen. 

On processing GPS tracking data of car-movements in Borlänge, Sweden

The advancement of GPS technology enables GPS devices not only to be used as orientation and navigation tools, but also to track travelled routes. GPS tracking data provides essential information for a broad range of urban planning applications such as transportation routing and planning, traffic management and environmental control. This paper describes on processing the data that was collected by tracking the cars of 316 volunteers over a seven-week period. The detailed information is extracted. The processed data is further connected to the underlying road network by means of maps. Geographical maps are applied to check how the car-movements match the road network. The maps capture the complexity of the car-movements in the urban area. The results show that 90% of the trips on the plane match the road network within a tolerance.

Network density and the p-median solution

The p-medianmodel is commonly used to find optimal locations of facilities for geographically distributed demands. So far, there are few studies that have considered the importance of the road network in the model. However, Han, Håkansson, and Rebreyend (2013) examined the solutions of the p-median model with densities of the road network varying from 500 to 70,000 nodes. They found as the density went beyond some 10,000 nodes, solutions have no further improvements but gradually worsen. The aim of this study is to check their findings by using an alternative heuristic being vertex substitution, as a complement to their using simulated annealing. We reject the findings in Han et al (2013). The solutions do not further improve as the nodes exceed 10,000, but neither do the solutions deteriorate.

Reliability of GPS based traffic data: an experimental evaluation

GPS tracking of mobile objects provides spatial and temporal data for a broad range of applications including traffic management and control, transportation routing and planning. Previous transport research has focused on GPS tracking data as an appealing alternative to travel diaries. Moreover, the GPS based data are gradually becoming a cornerstone for real-time traffic management. Tracking data of vehicles from GPS devices are however susceptible to measurement errors – a neglected issue in transport research. By conducting a randomized experiment, we assess the reliability of GPS based traffic data on geographical position, velocity, and altitude for three types of vehicles; bike, car, and bus. We find the geographical positioning reliable, but with an error greater than postulated by the manufacturer and a non-negligible risk for aberrant positioning. Velocity is slightly underestimated, whereas altitude measurements are unreliable.

Emotioner och värdegrundsarbete : Om lärare, fostran och elever i en mångkulturell skola

This thesis explores aspects of teachers’ obligation to implement and discuss what are referred to in the Swedish national school curricula as “fundamental values” (“värdegrunden” in Swedish). The aim is to describe and analyze dilemmas in interpretations of and teachers’ work with these fundamental values. Four questions are related to this aim. The first addresses difficulties discussed in conversations between seven upper secondary teachers, during nine meetings over the course of one year. In these conversations the teachers reflected upon how to interpret the fundamental values in relation to their daily practice. The second question focuses on the considerable diversity of Swedish schools and examines the work of the teachers through a perspective of intersectionality. The third question concerns how Martha Nussbaum’s theory of emotions as judgments of value could be used for an understanding of the identified dilemmas. The fourth question focuses on ways in which the participating teachers’ discussions may contribute to a wider discussion about possible aims and circumstances of teachers’ work with the fundamental values. Chapter 2 introduces the theoretical framework of the study, Martha Nussbaum’s (2001) ethical thinking on emotions as judgments of value. She argues that emotions have four common cognitive components. They have (1) external objects, and are directed towards these objects. They are (2) intentional, reflecting a person’s particular point of view, his or her special way of beholding the object, and (3) consist of judgments, i.e. views of how things in the world are. According to Nussbaum’s Aristotelian ethics, emotions also (4) mirror the individual’s vision of what a good human life is like, and the vulnerability of it. The concept of eudaimonia, a fulfilled or flourishing life, is central. Chapter 3 focuses on ideas of ethnicity, and on the specific obligation mentioned in the curriculum of counteracting xenophobia and intolerance in a multicultural society. Chapter 4 discusses various aspects of the teachers’ thoughts on religiosity within Swedish society (often depicted as one of most secular in the world) and within the educational system that is non-denominational. Chapter 5 draws attention to different ways in which the teachers view and teach pupils about sexual orientation. Chapter 6 presents conclusions on potential advantages of and challenges involved in Nussbaum’s Aristotelian theory of emotions, when applied to teachers’ views of and practical work with the fundamental values described in the curriculum. One advantage is that emotions may be intellectually scrutinized and morally assessed, on grounds that are known beforehand and discussed in a democratic process. The non-productive division between emotions, on the one hand, and intellectual and moral capabilities, on the other, is transcended by Nussbaum’s theory. An important challenge is to reflect upon when to discuss the cognitive content of pupils’ emotions, and when it is appropriate to state what is right or wrong, and try to influence pupils accordingly. Keywords: Emotions, vulnerability, values education, religious education, teaching, Martha Nussbaum, ethnicity, religion, sexual orientation.

Does road network density matter in optimally locating facilities?

Optimal location on the transport infrastructure is the preferable requirement for many decision making processes. Most studies have focused on evaluating performances of optimally locate p facilities by minimizing their distances to a geographically distributed demand (n) when p and n vary. The optimal locations are also sensitive to geographical context such as road network, especially when they are asymmetrically distributed in the plane. The influence of alternating road network density is however not a very well-studied problem especially when it is applied in a real world context. This paper aims to investigate how the density level of the road network affects finding optimal location by solving the specific case of p-median location problem. A denser network is found needed when a higher number of facilities are to locate. The best solution will not always be obtained in the most detailed network but in a middle density level. The solutions do not further improve or improve insignificantly as the density exceeds 12,000 nodes, some solutions even deteriorate. The hierarchy of the different densities of network can be used according to location and transportation purposes and increase the efficiency of heuristic methods. The method in this study can be applied to other location-allocation problem in transportation analysis where the road network density can be differentiated.