The transport and urban economics literature applies different labor supply approaches when studying economic or planning instruments. Some studies assume that working hours are endogenous while the number of workdays is given, whereas others model only decisions on workdays. Unfortunately, empirical evidence does hardly exist on account of missing data. Against this background, we provide an assessment of whether general effects of transport policies are robust against the modeling of leisure demand and labor supply. We introduce different labor supply approaches into a spatial general equilibrium model and discuss how they affect the welfare implication of congestion policies. We, then, perform simulations and find that in many cases the choice of labor supply modeling not only affects the magnitude of the policy impact but also its direction. While planning instruments are suggested to be quite robust to different labor supply approaches, the way of modeling labor supply may crucially affect the overall welfare implications of economic instruments such as congestion tolls. Based on these findings it becomes clear which labor supply approach is the most appropriate given specific conditions. Our study also emphasizes the need for better micro labor market data that also feature days of sickness, overtime work used to reduce workdays, the actual number of leave days, part-time work, days with telecommuting etc.

No description available.

The objective of the thesis is the model-based analysis of spatial patterns of decomposition properties on the forested slopes of the montane level (ca. 1200-2200 m a.s.l.) in a study area in the Italian Alps (Val di Sole / Val di Rabbi, Autonomous Province of Trento). The analysis includes humus forms and enchytraeid assemblages as well as pH values, activities of extracellular enzymes and C/N ratios of the topsoil. The first aim is to develop, test and apply data-based techniques for spatial modelling of soil ecological parameters. This methodological approach is based on the concept of digital soil mapping. The second aim is to reveal the relationships between humus forms, soil organisms and soil microbiological parameters in the study area. The third aim is to analyze if the spatial patterns of indicators of decomposition differ between the landscape scale and the slope scale. At the landscape scale, sample data from six sites are used, covering three elevation levels at both north- and south-facing slopes. A knowledge-based approach that combines a decision tree analysis with the construction of fuzzy membership functions is introduced for spatial modelling. According to the sampling design, elevation and slope exposure are the explanatory variables. The investigations at the slope scale refer to one north-facing and one south-facing slope, with 30 sites occurring on each slope. These sites have been derived using conditioned Latin Hypercube Sampling, and thus reasonably represent the environmental conditions within the study area. Predictive maps have been produced in a purely data-based approach with random forests. At both scales, the models indicate a high variability of spatial decomposition patterns depending on the elevation and the slope exposure. In general, sites at high elevation on north-facing slopes almost exclusively exhibit the humus forms Moder and Mor. Sites on south-facing slopes and at low elevation exhibit also Mull and Amphimull. The predictions of those enchytraeid species characterized as Mull and Moder indicators match the occurrence of the corresponding humus forms well. Furthermore, referencing the mineral topsoil, the predictive models show increasing pH values, an increasing leucine-aminopeptidase activity, an increasing ratio alkaline/acid phosphomonoesterase activity and a decreasing C/N ratio from north-facing to south-facing slopes and from high to low elevation. The predicted spatial patterns of indicators of decomposition are basically similar at both scales. However, the patterns are predicted in more detail at the slope scale because of a larger data basis and a higher spatial precision of the environmental covariates. These factors enable the observation of additional correlations between the spatial patterns of indicators of decomposition and environmental influences, for example slope angle and curvature. Both the corresponding results and broad model evaluations have shown that the applied methods are generally suitable for modelling spatial patterns of indicators of decomposition in a heterogeneous high mountain environment. The overall results suggest that the humus form can be used as indicator of organic matter decomposition processes in the investigated high mountain area.

No description available.

Cette thèse de doctorat propose une méthodologie d’identification et de quantification du gisement éolien dans un contexte insulaire caractérisé par une topographie complexe et une forte pression sur l’usage des sols, puis elle l’applique au cas de l’île de La Réunion. Notre approche est interdisciplinaire, faisant appel tour à tour au droit, à la géographie, à la statistique et à la physique pour quantifier le gisement éolien à l’île de La Réunion, puis à l’économie pour évaluer le coût d’exploitation de ce gisement et définir des politiques publiques de soutien à la production d’électricité éolienne. La première partie de la thèse évalue l’impact du cadre réglementaire foncier sur le potentiel éolien en termes de puissance éolienne crête installable à La Réunion. Ce cadre réglementaire est défini en termes de scenarios décrivant les enjeux sociaux et environnementaux propres à l’installation de capacités éoliennes à l’île de La Réunion. Une approche basée sur les Systèmes d’Information Géographique est développée pour identifier la répartition spatiale des sites éoliens accessibles en fonction de l’évolution du cadre juridique foncier à La Réunion. La deuxième partie de la thèse vise à quantifier le gisement éolien sur les sites accessibles du point de vue règlementaire. La thèse expose la méthodologie d’étude de la distribution jointe de la distribution de la vitesse et de la direction horizontales du vent basée sur une analyse des variations saisonnières et journalières, et identifie les différents régimes de vent en vigueur à La Réunion. Elle justifie le recours au modèle paramétrique de Weibull dans un cadre probabiliste et montre l’intérêt d’utiliser un mélange de distributions de Weibull conditionnelles à la direction du vent, pour quantifier le potentiel éolien d’un site, par rapport au modèle conventionnel de Weibull à deux paramètres. La thèse présente également une méthodologie de construction de l’information géographique concernant les obstacles au sol, nécessaire pour profiler le cisaillement vertical du vent à La Réunion. Elle propose ensuite deux méthodes de prévision spatiale de la ressource éolienne permettant de l’évaluer à partir des observations réalisées aux stations météorologiques disponibles et utilise ces méthodes pour modéliser l’évolution spatiale de la moyenne et du coefficient de variation empiriques de la vitesse du vent. La dernière partie de notre thèse présente une méthode d’évaluation croisée de la politique réglementaire et de la politique de subvention de l’électricité éolienne par le biais de systèmes de tarifs de rachat garantis. Pour chaque scénario de politique réglementaire, on identifie les éoliennes qui sont économiquement profitables dans le cadre de la politique publique de subvention de l’éolien pratiquée à La Réunion. Pour chaque scénario réglementaire, on évalue également le niveau du tarif de rachat garanti de l’électricité éolienne permettant d’atteindre les objectifs publics de développement de l’éolien à La Réunion, ce qui permet de chiffrer le montant du subventionnement public nécessaire pour atteindre ces objectifs. / This doctoral thesis proposes a methodology to identify and quantify the wind power resource in a context characterized by a complex topography and a strong competition for land use, and then it applies it to the case of Reunion island. Our approach is interdisciplinary by using in turn law, geography, statistics and physics to quantify the wind power resource in Reunion Island, then economics to cost the mining of this deposit and to formulate public policies to support wind power generation. The first part of the thesis assesses the impact of land regulatory framework on the wind power resource defined in terms of installable peak power. This regulatory framework is defined in terms of scenarios depicting the social and environmental challenges associated with wind power generation in Reunion Island. A methodology based on Geographic Information Systems is developed to identify the spatial distribution of installable wind farms and to assess the impact of an evolution of land legal framework in Reunion. The second part of the thesis aims at quantifying the wind power on sites accessible from a regulatory point of view. The thesis presents a methodology to study the joint distribution of horizontal wind speed and direction based on the analysis of its seasonal and daily variations, and identifies the different wind regimes in force in Reunion. The thesis supports the use of Weibull distribution model on ground of probability theory, and provides evidence of superiority of using a mixture of Weibull distributions conditional on wind direction to quantify the wind power resource of an accessible site with respect to the use of the conventional marginal two parameters Weibull model. The thesis also provides a methodology to construct the geographical information regarding ground obstacles necessary for profiling the vertical wind shear profile in Reunion. Then, the thesis proposes two spatial prediction methods to assess the spatial distribution of wind resource allowing its estimation from the observations recorded at the available weather stations, and uses these methods to model the spatial evolution of the wind speed mean and variation coefficient. The last part of the thesis provides a method to cross assess the regulatory public policy and the public subsidy policy for wind power generation through feed-in-tariff schemes. For each regulatory scenario, we identify the wind power plants which are profitable under existing feed-in-tariff schemes. For each regulatory scenario, we also evaluate the level at which the feed-in-tariff must be set to reach public objectives of wind power development in Reunion, which allows to assess the amount of public subsidy needed to achieve these objectives.

No description available.

How does space affect individuals’ outcome on the labor market? And how do we measure it? Beyond the notion of the labor market as a system of supply and demand, lays a society of individuals and workplaces, whose relationships are undeniably complex. This thesis aims to shed some new light on how to investigate and analyze the complex labor market relationships from a spatial perspective. In this thesis, five self-contained articles describe the spatial relationship between individuals and workplaces. In the first article, the official delineation of local labor market areas is tested against the delineation of labor markets for different subgroups. Differences in the regionalization are discussed from the subgroups’ and municipals’ perspective. In the second article, two sources of bias in the computation of local labor market areas, and suggestions how to reduce them, are presented. In the third article the spatial mismatch hypothesis is tested and confirmed on a refugee population in Sweden. In articles four and five, a new model for the estimation of job accessibility is introduced and evaluated. The model, ELMO, is created to answer to the need for a new accessibility measure to be used in spatial mismatch related research. The usability of the model is validated through empirical tests, were the ELMO-model excels in comparison to the accessibility models it is tested against.

Abstract Eutrophication and global warming are increasingly causing deterioration of aquatic ecosystems, and boreal freshwaters are especially vulnerable to these changes. Anthropogenic pressures and landscape characteristics influencing the functioning and structure of ecosystems vary with spatial scale (grain size i.e. study unit and extent i.e. study area). This emphasises that the understanding of spatial scale is a vital element when studying species distribution patterns. Moreover, spatial scale is often neglected in ecological assessments, in which the degree of ecological integrity of an ecosystem is assessed using selected biological groups. One of these groups is aquatic macrophytes. The aims of this thesis were (i) to study the distribution and richness of aquatic macrophytes in the boreal region in Finland at multiple scales and (ii) to evaluate the performance of ecological assessment metrics selected for Finnish lake macrophytes. The spatial extent at which aquatic macrophytes were studied had an important influence on the patterns found. Climatic factors associated with latitudinal and altitudinal gradient determined macrophytes at broad extent, although the patterns changed at finer regional extent. Moreover, this strong effect of climate could lead to the widening of distribution ranges of helophytes in boreal catchments during the 21st century due to the climate change. Many of these species have already widened their range limits during the previous century and increasing temperatures may create new niches for vegetation to colonize. Lake macrophyte richness, turnover and quality metrics showed a clear relationship with nutrient concentration in waters at landscape and regional extent. Helophytes and metrics were positively or inversely negatively related to nutrients, whereas species turnover and other life-form groups had a unimodal or non-significant response to nutrient availability. In addition, land use (agricultural and urban areas and forestry ditch drainage) influenced macrophytes directly through shore morphology changes and indirectly through water quality. Macrophytes were also explained at various scales by area and depth, which were related to habitat heterogeneity, and aquatic plants responded to water ionic and electrical characteristics (pH, alkalinity and conductivity). Ecological quality metrics of macrophytes appeared to be scale dependent, since land use adjacent to the lake shoreline had a higher influence on the metrics compared to land use of the whole catchment. However, the scale-related pattern in the effect of land use was not congruent between metrics, as the Trophic Index showed poorer performance compared to the proportion of type-specific species and Percent Model Affinity. This was presumably due to lack of helophytes in the species pool used and to reference values which were defined across lake types in the Trophic Index. Uneven performance of the metrics derived from different biological groups suggests that an approach integrating multiple lines of evidence on ecological status appears most feasible for assessment of the overall lake status. / Tiivistelmä Vesistöjen rehevöityminen ja ilmastonmuutos heikentävät vesiekosysteemien laatua, ja boreaaliset sisävedet ovat erityisen alttiita näiden uhkatekijöiden aiheuttamille muutoksille. Ihmistoiminnan aiheuttamien muutoksien ja luontaisten maisematekijöiden merkitys vesiekosysteemien toimintaan ja rakenteeseen vaihtelee mittakaavan (tutkimusyksikön ja -alueen) mukaan. Kuitenkin spatiaalisen mittakaavan merkitys on usein unohdettu ekologisissa arvioinneissa, joissa selvitetään ekosysteemin luonnontilaisuutta eri biologisilla lajiryhmillä. Vesikasvit ovat yksi usein käytetty biologinen ryhmä järvien ekologissa arvioinneissa. Tämän tutkimuksen tarkoitus on (i) tutkia vesikasvien levinneisyyttä ja runsautta Suomessa useissa mittakaavoissa, ja (ii) arvioida ekologisten luokittelumuuttujien toimivuutta järvien vesikasveilla eri mittakaavoissa. Mittakaava, jossa vesikasveja tutkittiin, vaikutti merkittävästi saatuihin tuloksiin. Leveysasteeseen ja korkeuteen liittyvä gradientti määritti vesikasvien levinneisyyttä alueellisessa mittakaavassa. Lisäksi ilmaston voimakas vaikutus vesikasveihin voi johtaa niiden levinneisyysrajojen laajenemiseen, koska ilmastonmuutos saattaa luoda edullisemmat kasvuolosuhteet kasvillisuudelle tällä vuosisadalla. Monet vesikasvilajit ovat jo levinneet pohjoisemmaksi 1900-luvulla, ja lämpötilojen nousu voi lisätä ekolokeroita vesikasvien levittäytymiselle. Vesikasvien runsaus, lajimäärä ja luokittelumuuttujat olivat selkeästi yhteydessä vesien ravinteisuuteen maisemallisessa ja alueellisessa mittakaavassa. Ilmaversoisilla vesikasveilla ja luokittelumuuttujilla oli positiivinen tai käänteisesti negatiivinen suhde ravinteisiin, kun taas lajimäärä ja muut vesikasvien kasvumuodot olivat unimodaalisessa tai merkityksettömässä yhteydessä ravinteisuuteen. Lisäksi maankäyttö, erityisesti maatalous, kaupunkiasutus ja metsäojitus, vaikutti vesikasveihin suoraan rantavyöhykkeen morfologisin muutoksin tai epäsuorasti ravinteisuuden kautta. Vesikasvien levinneisyyttä ja runsautta selitti myös pinta-ala ja syvyys, jotka liittyivät elinympäristön heterogeenisyyteen, sekä veden fysikaalis-kemialliset ominaisuudet, kuten pH, alkaliniteetti ja sähkönjohtokyky. Ekologiset luokittelumuuttujat olivat riippuvaisia mittakaavasta, koska rantavyöhykkeen läheisellä maankäytöllä oli suurempi merkitys muuttujille kuin koko valuma-alueen maankäytöllä. Kuitenkin mittakaavan merkitys vaihteli eri muuttujien välillä, kun referenssi-indeksi osoitti heikompaa vastetta maankäyttöön eri mittakaavoissa kuin tyyppilajien suhteellinen osuus ja prosenttinen mallin samankaltaisuus. Tämä luultavasti johtui siitä, että referenssi-indeksissä ilmaversoiset vesikasvit puuttuivat tutkittavista lajeista ja referenssiarvot olivat yhteiset riippumatta järvityypistä. Eri biologisiin ryhmiin perustuva luokittelujärjestelmä ilmensi hyvin vaihtelevasti ekologista laatua, minkä vuoksi eri muuttujia yhdistävä menetelmä, joka arvioi vesimuodostuman kokonaistilaa, on toteuttamiskelpoisin lähestymistapa boreaalisissa järvissä.

The transport and urban economics literature applies different labor supply approaches when studying economic or planning instruments. Some studies assume that working hours are endogenous while the number of workdays is given, whereas others model only decisions on workdays. Unfortunately, empirical evidence does hardly exist on account of missing data. Against this background, we provide an assessment of whether general effects of transport policies are robust against the modeling of leisure demand and labor supply. We introduce different labor supply approaches into a spatial general equilibrium model and discuss how they affect the welfare implication of congestion policies. We, then, perform simulations and find that in many cases the choice of labor supply modeling not only affects the magnitude of the policy impact but also its direction. While planning instruments are suggested to be quite robust to different labor supply approaches, the way of modeling labor supply may crucially affect the overall welfare implications of economic instruments such as congestion tolls. Based on these findings it becomes clear which labor supply approach is the most appropriate given specific conditions. Our study also emphasizes the need for better micro labor market data that also feature days of sickness, overtime work used to reduce workdays, the actual number of leave days, part-time work, days with telecommuting etc.

Traffic safety has been considered one of the most important issues in the transportation field. With consistent efforts of transportation engineers, Federal, State and local government officials, both fatalities and fatality rates from road traffic crashes in the United States have steadily declined from 2006 to 2011.Nevertheless, fatalities from traffic crashes slightly increased in 2012 (NHTSA, 2013). We lost 33,561 lives from road traffic crashes in the year 2012, and the road traffic crashes are still one of the leading causes of deaths, according to the Centers for Disease Control and Prevention (CDC). In recent years, efforts to incorporate traffic safety into transportation planning has been made, which is termed as transportation safety planning (TSP). The Safe, Affordable, Flexible Efficient, Transportation Equity Act - A Legacy for Users (SAFETEA-LU), which is compliant with the United States Code, compels the United States Department of Transportation to consider traffic safety in the long-term transportation planning process. Although considerable macro-level studies have been conducted to facilitate the implementation of TSP, still there are critical limitations in macroscopic safety studies are required to be investigated and remedied. First, TAZ (Traffic Analysis Zone), which is most widely used in travel demand forecasting, has crucial shortcomings for macro-level safety modeling. Moreover, macro-level safety models have accuracy problem. The low prediction power of the model may be caused by crashes that occur near the boundaries of zones, high-level aggregation, and neglecting spatial autocorrelation. In this dissertation, several methodologies are proposed to alleviate these limitations in the macro-level safety research. TSAZ (Traffic Safety Analysis Zone) is developed as a new zonal system for the macroscopic safety analysis and nested structured modeling method is suggested to improve the model performance. Also, a multivariate statistical modeling method for multiple crash types is proposed in this dissertation. Besides, a novel screening methodology for integrating two levels is suggested. The integrated screening method is suggested to overcome shortcomings of zonal-level screening, since the zonal-level screening cannot take specific sites with high risks into consideration. It is expected that the integrated screening approach can provide a comprehensive perspective by balancing two aspects: macroscopic and microscopic approaches.