919 resultados para forecast


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Given the important modifications of the "Loi sur l'Assurance maladie (LAMal)", this article gives a contribution to the hospital planification by identifying the main factors that have determined the current organisation of the psychiatric care network. We notice a gap between the orientations of these networks and the funding scheme forecast in the framework of the LAMal. In order to preserve the progressions of these last years and to avoid the negative effects of a too restrictive funding act for the assignment of the public psychiatry, the planification must result in a consensus between the state, the insurances and the multiple actors of the mental health. Otherwise, this will be done to the detriment of the activities of secondary prevention, of coordination in the network, of support to the natural helpers, and of intervention to the vulnerable populations.

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AIMS: This study aimed to estimate the prevalence of life-time abstainers, former drinkers and current drinkers, adult per-capita consumption of alcohol and pattern of drinking scores, by country and Global Burden of Disease region for 2005, and to forecast these indicators for 2010. DESIGN: Statistical modelling based on survey data and routine statistics. SETTING AND PARTICIPANTS: A total of 241 countries and territories. MEASUREMENTS: Per-capita consumption data were obtained with the help of the World Health Organization's Global Information System on Alcohol and Health. Drinking status data were obtained from Gender, Alcohol and Culture: An International Study, the STEPwise approach to Surveillance study, the World Health Survey/Multi-Country Study and other surveys. Consumption and drinking status data were triangulated to estimate alcohol consumption across multiple categories. FINDINGS: In 2005 adult per-capita annual consumption of alcohol was 6.1 litres, with 1.7 litres stemming from unrecorded consumption; 17.1 litres of alcohol were consumed per drinker, 45.8% of all adults were life-time abstainers, 13.6% were former drinkers and 40.6% were current drinkers. Life-time abstention was most prevalent in North Africa/Middle East and South Asia. Eastern Europe and Southern sub-Saharan Africa had the most detrimental pattern of drinking scores, while drinkers in Europe (Eastern and Central) and sub-Saharan Africa (Southern and West) consumed the most alcohol. CONCLUSIONS: Just over 40% of the world's adult population consumes alcohol and the average consumption per drinker is 17.1 litres per year. However, the prevalence of abstention, level of alcohol consumption and patterns of drinking vary widely across regions of the world.

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BACKGROUND: From 1988 to 1997 age-standardised total cancer mortality rates in the European Union (EU) fell by around 9% in both sexes. Available cancer mortality data in Europe up to 2002 allow a first check of the forecast of further declines in cancer mortality. PATIENTS AND METHODS: We considered trends in age-standardised mortality from major cancer sites in the EU during the period 1980-2002. RESULTS: For men, total cancer mortality, after a peak of 191.1/100,000 in 1987 declined to 177.8 in 1997 (-7%), and to 166.5 in 2002. Corresponding figures for females were 107.9/100,000, 100.5 and 95.2, corresponding to falls of 7% from 1987 to 1997, and to 5% from 1997 to 2002. Over the last 5 years, lung cancer declined by 1.9% per year in men, to reach 44.4/100,000, but increased by 1.7% in women, to reach 11.4. In 2002, for the first year, lung cancer mortality in women was higher than that for intestinal cancer (11.1/100,000), and lung cancer became the second site of cancer deaths in women after breast (17.9/100,000). From 1997 to 2002, appreciable declines were observed in mortality from intestinal cancer in men (-1.6% per year, to reach 18.8/100,000), and in women (-2.5%), as well as for breast (-1.7% per year) and prostate cancer (-1.4%). CONCLUSIONS: Despite the persisting rises in female lung cancer, the recent trends in cancer mortality in the EU are encouraging and indicate that an 11% reduction in total cancer mortality from 2000 to 2015 is realistic and possible.

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“Un reciente estudio de la consultora Nielsen estima en 49.650 millones de € las pérdidas anuales procedentes de la inversión en publicidad no efectiva en el mundo”.Esta noticia refleja un hecho que causa alarmismo en la sociedad. Semejante gasto desbaratado en llevar a cabo un proyecto que no causa ningún beneficio es motivo de preocupación entre economistas y profesionales del Marketing. Ciertamente, entenderíamos que multitud de personas se llevasen las manos a la cabeza ante la evidencia de semejante despilfarro. Llegados a este punto, hay que comunicar dos hechos. En primer lugar, hemos de aclarar que este es un titular ficticio y los datos que se aportan son irreales.Lamentablemente, en segundo lugar se ha de exponer que las cifras estimadas reales duplican –siendo optimistas‐ las anteriormente citadas (1 “Advertising expenditure forecast 2008” ZenithOptimedia – Nielsen Facts 2008).Actualmente los expertos en Marketing están en medio de un proceso de búsqueda de nuevas fórmulas que aumenten la eficacia y reduzcan el gasto de sus campañas publicitarias, y ése es el terreno en donde se mueve el Marketing viral, fenómeno en plena expansión gracias a la creciente importancia de Internet en nuestras vidas.Este hecho fue lo que nos ha empujado a investigar sobre la disciplina y sus métodos.Descubrir qué se ocultaba detrás de la categoría “viral” y darnos cuenta de su imparable desarrollo, descubriendo cómo habíamos sido a la vez verdugos y mártires en la propagación de mensajes publicitarios.En nuestro trabajo queremos darle un nuevo sentido al concepto de ahorro en el Marketing viral, intentado descubrir si es posible llevar a cabo una transformación low‐cost del concepto de Marketing viral y aplicarla con éxito a un sector de lapoblación en el que podamos controlar los efectos de una campaña de dichas características, por lo cual escogimos a los estudiantes del campus de Ciutadella de la Universidad Pompeu Fabra como target de nuestra campaña.Además, nos planteamos analizar el ahorro de nuestra campaña mediante el análisis y comparación coste‐resultado de otras vías de Marketing tradicionales con un concepto novedoso y a la vez preciso como es el de “eficacia real publicitaria”, en el cual nos servimos de estudios sociopsicológicos de consumidores para establecer unosbaremos más cercanos a la realidad que los métodos más comunes de medición de resultados publicitarios.Para ello, es necesario crear una identidad completamente nueva. Es aquí donde surge la marca, franquicia, empresa, organización y filosofía –ficticias‐ Kimbi. Y el reto exige un esfuerzo notable: dar a conocer una identidad –comercial y empresarial‐ ficticia que no ofrece ningún servicio ni producto a un sector poblacional y crear expectativas en elobjetivo, llamar su atención, grabar en sus mentes nuestros identificativos y esperar que el virus del “movimiento Kimbi” se propague entre ellos con éxito. Es decir, competir en el saturado panorama publicitario contra multitud de multinacionales que ya tienen unos usuarios fieles y una reputación labrada, que ofrecen productos y servicios de manera gratuita en bastantes ocasiones y que disponen de ingentes cantidades de recursos y capital para publicitar su identidad comercial en multitud de medios mainstream con el objetivo de atraerles y causarles un impacto publicitario. Esperamos haber conseguido, al menos, que el lector sienta el deseo de ver el trabajo. ¿Queréis descubrir el resultado?

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As microempresas desempenham um papel fundamental na promoção do emprego, na inovação, na criação de rendimentos e no desenvolvimento económico e social. Para os países em vias de desenvolvimento, crê-se que a dinamização das microempresas pode ser um instrumento privilegiado de promoção e combate à pobreza, na medida em que esta poderá ser a via para incentivar as camadas mais pobres das populações rurais e urbanas a criarem os seus próprios negócios e a providenciarem os seus próprios rendimentos. A criação e o crescimento das microempresas estão, todavia, condicionados por vários constrangimentos. A inexistência de capital inicial (Start-Up Capital) é apontada na literatura financeira como uma das mais relevantes. O recurso ao capital externo, como fonte de financiamento, dependerá, por sua vez, de vários factores. O presente estudo foi realizado em Santo Antão, a ilha mais a norte e a mais montanhosa do Arquipélago de Cabo Verde. O sector micro crédito chama atenção pelo facto de ser um instrumento de importância primordial para Cabo Verde e, particularmente, para a ilha de Santo Antão que possui uma estrutura económica e social muito vulnerável o que nos leva a compreender melhor, o funcionamento das microempresas, instaladas nos três municípios da Ilha (Paul, Ribeira Grande e Porto Novo). Ao longo do estudo definimos o perfil sócio económico do micro empresário Santantonense, com o objectivo de compreender e quantificar o contributo do sector para o desenvolvimento empresarial da ilha, sem esquecer os constrangimentos e dificuldades que se colocam aos micros empresários na procura de financiamento. O processo de recolha de informação foi efectuado com recurso a pesquisas de campo, a partir da elaboração e aplicação de entrevistas de uma forma semi-estruturada, no sentido de identificar as principais características/perfil do empresário. Os dados recolhidos pelas entrevistas têm por base uma apreciação crítica da gestão para melhor compreender e comparar as fragilidades existentes e analisar a capacidade de sucesso dos micros empresários. A configuração da actividade económica foi feita com base na análise quantitativa e qualitativa, dos dados obtidos na aplicação dos questionários. De igual modo, analisamos e comparamos os casos de sucesso e insucesso nas microempresas em estudo, casos de sucesso no que diz respeito aos benefícios de micro créditos para a redução da pobreza e do desemprego, de criação do auto-emprego, e da formação/informação aos micros empresários santantonenses. Nos casos de insucesso analisamos as causas que estiveram na sua origem assim como as consequências daí advenientes. Uma das constatações do estudo, como se verá pela análise dos dados, é que o micro empresário Santantonense, possui um baixo nível de escolaridade e que na sua maioria são mulheres. Um outro resultado evidenciado pelo estudo, é que há uma necessidade da política pública de desenvolvimento no sentido de definição de incentivos à criação e à promoção de micro negócios, atendendo às características demográficas e às necessidades específicas dos beneficiários. Micro enterprises perform a fundamental component in promoting employment, innovation, and earnings-generation and in socio-economic development. For countries en route to development, the belief is that the dynamic engine of the micro enterprises could be a privileged instrument to promote in the battle against poverty, in the hope that this could be the venue to incentivize the poorest of the rural and urban populations to create their own businesses and forecast their own earnings. The creation and the growth of micro enterprises is, however, conditional upon various constraints. The inexistence of initial capital is cited in financial literature as one of the more important. To resort to external capital as a financing source, is itself dependent on various factors. The current study was conducted in Santo Antão, the most northern and mountainous island in the Archipelago of Cape Verde. The micro credit´s sector calls attention to the fact that it is an essential instrument in Cape Verde, particularly in the island of Santo Antão which has an economic and social structure extremely vulnerable, leading us to a better understanding of how micro enterprises operate in the three municipalities of the Island (Paul, Ribeira Grande and Porto Novo). During the course of the study we defined the socio-economic character of the micro entrepreneur Santantonense, with the goal of understanding and quantifying the sector´s contribution to the Island´s entrepreneurial development, keeping in mind the contraints and difficulties that confront the entrepreneurs when seeking financing. The process for gathering the information was performed through field research, beginning with elaboration and application of interviews, designed to identify the entrepreneur´s major characteristics and the importance of micro credit for the island of Santo Antão. The data gathered through the interviews have un underlying basic and critic appreciation of management for a better understanding and comparing the existing fragilities and for analyzing the micro entrepreneurs´ capacity to succeed. The configuration of economic activities was designed based on quantitative and qualitative analysis from data obtained from the questionnaires. Likewise, we analyzed and compared the success and non-success cases of the micro enterprises in the study, success cases with respect to the benefits of micro credit in reducing poverty and unemployment, creation of self-employment, and the education/information for the micro entrepreneurs of Santo Antão. In the non-success cases we analyzed the original causes as well as the impending consequences. One of the study´s contentions, as the data analysis shows, is that micro entrepreneur of Santo Antão has a low level of education with the majority of them being women. In addition the study shows that there is a need for a public discourse in terms of defining and developing incentives for creating and promoting micro businesses given the demographic characteristics and the specific necessities of the beneficiaries.

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We analyze crash data collected by the Iowa Department of Transportation using Bayesian methods. The data set includes monthly crash numbers, estimated monthly traffic volumes, site length and other information collected at 30 paired sites in Iowa over more than 20 years during which an intervention experiment was set up. The intervention consisted in transforming 15 undivided road segments from four-lane to three lanes, while an additional 15 segments, thought to be comparable in terms of traffic safety-related characteristics were not converted. The main objective of this work is to find out whether the intervention reduces the number of crashes and the crash rates at the treated sites. We fitted a hierarchical Poisson regression model with a change-point to the number of monthly crashes per mile at each of the sites. Explanatory variables in the model included estimated monthly traffic volume, time, an indicator for intervention reflecting whether the site was a “treatment” or a “control” site, and various interactions. We accounted for seasonal effects in the number of crashes at a site by including smooth trigonometric functions with three different periods to reflect the four seasons of the year. A change-point at the month and year in which the intervention was completed for treated sites was also included. The number of crashes at a site can be thought to follow a Poisson distribution. To estimate the association between crashes and the explanatory variables, we used a log link function and added a random effect to account for overdispersion and for autocorrelation among observations obtained at the same site. We used proper but non-informative priors for all parameters in the model, and carried out all calculations using Markov chain Monte Carlo methods implemented in WinBUGS. We evaluated the effect of the four to three-lane conversion by comparing the expected number of crashes per year per mile during the years preceding the conversion and following the conversion for treatment and control sites. We estimated this difference using the observed traffic volumes at each site and also on a per 100,000,000 vehicles. We also conducted a prospective analysis to forecast the expected number of crashes per mile at each site in the study one year, three years and five years following the four to three-lane conversion. Posterior predictive distributions of the number of crashes, the crash rate and the percent reduction in crashes per mile were obtained for each site for the months of January and June one, three and five years after completion of the intervention. The model appears to fit the data well. We found that in most sites, the intervention was effective and reduced the number of crashes. Overall, and for the observed traffic volumes, the reduction in the expected number of crashes per year and mile at converted sites was 32.3% (31.4% to 33.5% with 95% probability) while at the control sites, the reduction was estimated to be 7.1% (5.7% to 8.2% with 95% probability). When the reduction in the expected number of crashes per year, mile and 100,000,000 AADT was computed, the estimates were 44.3% (43.9% to 44.6%) and 25.5% (24.6% to 26.0%) for converted and control sites, respectively. In both cases, the difference in the percent reduction in the expected number of crashes during the years following the conversion was significantly larger at converted sites than at control sites, even though the number of crashes appears to decline over time at all sites. Results indicate that the reduction in the expected number of sites per mile has a steeper negative slope at converted than at control sites. Consistent with this, the forecasted reduction in the number of crashes per year and mile during the years after completion of the conversion at converted sites is more pronounced than at control sites. Seasonal effects on the number of crashes have been well-documented. In this dataset, we found that, as expected, the expected number of monthly crashes per mile tends to be higher during winter months than during the rest of the year. Perhaps more interestingly, we found that there is an interaction between the four to three-lane conversion and season; the reduction in the number of crashes appears to be more pronounced during months, when the weather is nice than during other times of the year, even though a reduction was estimated for the entire year. Thus, it appears that the four to three-lane conversion, while effective year-round, is particularly effective in reducing the expected number of crashes in nice weather.

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Around 11.5 * 106 m3 of rock detached from the eastern slope of the Santa Cruz valley (San Juan province, Argentina) in the first fortnight of January 2005. The rockslide?debris avalanche blocked the course, resulting in the development of a lake with maximum length of around 3.5 km. The increase in the inflow rate from 47,000?74,000 m3/d between April and October to 304,000 m3/d between late October and the first fortnight of November, accelerated the growing rate of the lake. On 12 November 2005 the dam failed, releasing 24.6 * 106 m3 of water. The resulting outburst flood caused damages mainly on infrastructure, and affected the facilities of a hydropower dam which was under construction 250 km downstream from the source area. In this work we describe causes and consequences of the natural dam formation and failure, and we dynamically model the 2005 rockslide?debris avalanche with DAN3D. Additionally, as a volume ~ 24 * 106 m3of rocks still remain unstable in the slope, we use the results of the back analysis to forecast the formation of a future natural dam. We analyzed two potential scenarios: a partial slope failure of 6.5 * 106 m3 and a worst case where all the unstable volume remaining in the slope fails. The spreading of those potential events shows that a new blockage of the Santa Cruz River is likely to occur. According to their modeled morphometry and the contributing watershed upstream the blockage area, as the one of 2005, the dams would also be unstable. This study shows the importance of back and forward analysis that can be carried out to obtain critical information for land use planning, hazards mitigation, and emergency management.

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This paper combines multivariate density forecasts of output growth, inflationand interest rates from a suite of models. An out-of-sample weighting scheme based onthe predictive likelihood as proposed by Eklund and Karlsson (2005) and Andersson andKarlsson (2007) is used to combine the models. Three classes of models are considered: aBayesian vector autoregression (BVAR), a factor-augmented vector autoregression (FAVAR)and a medium-scale dynamic stochastic general equilibrium (DSGE) model. Using Australiandata, we find that, at short forecast horizons, the Bayesian VAR model is assignedthe most weight, while at intermediate and longer horizons the factor model is preferred.The DSGE model is assigned little weight at all horizons, a result that can be attributedto the DSGE model producing density forecasts that are very wide when compared withthe actual distribution of observations. While a density forecast evaluation exercise revealslittle formal evidence that the optimally combined densities are superior to those from thebest-performing individual model, or a simple equal-weighting scheme, this may be a resultof the short sample available.

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Purpose - There has been much research on manufacturing flexibility, but supply chain flexibility is still an under-investigated area. This paper focuses on supply flexibility, the aspects of flexibility related to the upstream supply chain. Our purpose is to investigate why and how firms increase supply flexibility.Methodology/Approach An exploratory multiple case study was conducted. We analyzed seven Spanish manufacturers from different sectors (automotive, apparel, electronics and electrical equipment).Findings - The results show that there are some major reasons why firms need supply flexibility (manufacturing schedule fluctuations, JIT purchasing, manufacturing slack capacity, low level of parts commonality, demand volatility, demand seasonality and forecast accuracy), and that companies increase this type of flexibility by implementing two main strategies: to increase suppliers responsiveness capability and flexible sourcing . The results also suggest that the supply flexibility strategy selected depends on two factors: the supplier searching and switching costs and the type of uncertainty (mix, volume or delivery).Research limitations - This paper has some limitations common to all case studies, such as the subjectivity of the analysis, and the questionable generalizability of results (since the sample of firms is not statistically significant).Implications - Our study contributes to the existing literature by empirically investigating which are the main reasons for companies needing to increase supply flexibility, how they increase this flexibility, and suggesting some factors that could influence the selection of a particular supply flexibility strategy.

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Any electoral system has an electoral formula that converts voteproportions into parliamentary seats. Pre-electoral polls usually focuson estimating vote proportions and then applying the electoral formulato give a forecast of the parliament's composition. We here describe theproblems arising from this approach: there is always a bias in theforecast. We study the origin of the bias and some methods to evaluateand to reduce it. We propose some rules to compute the sample sizerequired for a given forecast accuracy. We show by Monte Carlo simulationthe performance of the proposed methods using data from Spanish electionsin last years. We also propose graphical methods to visualize how electoralformulae and parliamentary forecasts work (or fail).

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On April 27, 2007, Iowa Governor Chet Culver signed Senate File 485, a bill related to greenhouse gas emissions. Part of this bill created the Iowa Climate Change Advisory Council (ICCAC), which consists of 23 governor-appointed members from various stakeholder groups, and 4 nonvoting, ex officio members from the General Assembly. ICCAC’s immediate responsibilities included submitting a proposal to the Governor and General Assembly that addresses policies, cost-effective strategies, and multiple scenarios designed to reduce statewide greenhouse gas emissions. Further, a preliminary report was submitted in January 2008, with a final proposal submitted in December 2008. In the Final Report, the Council presents two scenarios designed to reduce statewide greenhouse gas emissions by 50% and 90% from a 2005 baseline by the year 2050. For the 50% reduction by 2050, the Council recommends approximately a 1% reduction by 2012 and an 11% reduction by 2020. For the 90% reduction scenario, the Council recommends a 3% reduction by 2012 and a 22% reduction 2020. These interim targets were based on a simple extrapolation assuming a linear rate of reduction between now and 2050. In providing these scenarios for your consideration, ICCAC approved 56 policy options from a large number of possibilities. There are more than enough options to reach the interim and final emission targets in both the 50% and 90% reduction scenarios. Direct costs and cost savings of these policy options were also evaluated with the help of The Center for Climate Strategies, who facilitated the process and provided technical assistance throughout the entire process, and who developed the Iowa Greenhouse Gas Emissions Inventory and Forecast in close consultation with the Iowa Department of Natural Resources (IDNR) and many Council and Sub-Committee members. About half of the policy options presented in this report will not only reduce GHG emissions but are highly cost-effective and will save Iowans money. Still other options may require significant investment but will create jobs, stimulate energy independence, and advance future regional or federal GHG programs.

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We propose a new family of density functions that possess both flexibilityand closed form expressions for moments and anti-derivatives, makingthem particularly appealing for applications. We illustrate its usefulnessby applying our new family to obtain density forecasts of U.S. inflation.Our methods generate forecasts that improve on standard methods based on AR-ARCH models relying on normal or Student's t-distributional assumptions.

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PREMISE OF THE STUDY: Numerous long-term studies in seasonal habitats have tracked interannual variation in first flowering date (FFD) in relation to climate, documenting the effect of warming on the FFD of many species. Despite these efforts, long-term phenological observations are still lacking for many species. If we could forecast responses based on taxonomic affinity, however, then we could leverage existing data to predict the climate-related phenological shifts of many taxa not yet studied. METHODS: We examined phenological time series of 1226 species occurrences (1031 unique species in 119 families) across seven sites in North America and England to determine whether family membership (or family mean FFD) predicts the sensitivity of FFD to standardized interannual changes in temperature and precipitation during seasonal periods before flowering and whether families differ significantly in the direction of their phenological shifts. KEY RESULTS: Patterns observed among species within and across sites are mirrored among family means across sites; early-flowering families advance their FFD in response to warming more than late-flowering families. By contrast, we found no consistent relationships among taxa between mean FFD and sensitivity to precipitation as measured here. CONCLUSIONS: Family membership can be used to identify taxa of high and low sensitivity to temperature within the seasonal, temperate zone plant communities analyzed here. The high sensitivity of early-flowering families (and the absence of early-flowering families not sensitive to temperature) may reflect plasticity in flowering time, which may be adaptive in environments where early-season conditions are highly variable among years.

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The Iowa Transportation Improvement Program (Program) is published to inform Iowans of planned investments in our state’s transportation system. The Iowa Transportation Commission (Commission) and Iowa Department of Transportation (Iowa DOT) are committed to programming those investments in a fiscally responsible manner. A major component of the 2010-2014 Program is the full integration of funding allocated to the Iowa DOT from the American Recovery and Reinvestment Act of 2009 (Recovery Act). To date, the Recovery Act has provided over $400 million of additional federal funding for transportation in Iowa, including funding that is allocated to local governments and entities. Recovery Act funding will result in a record year for transportation construction in Iowa and the creation and retention of jobs. Opportunities for additionalRecovery Act transportation funding remain and will be pursued as they becomeavailable. While Recovery Act funding will make a one-time significant impact in addressing Iowa’s backlog of needs, it is important to note that there remains a large shortfall in sustained annual transportation investment to meet Iowa’s current and future critical transportation needs. In recognition of this shortfall, Governor Culver introduced and the legislature passed an I-JOBS proposal. I-JOBS will result in an additional $50 million of state funding to reduce structurally deficient and functionally obsolete bridges on the primary road system and approximately $10 million in funding for other modes of transportation including $3 million of new funding to support the expansion of passenger rail service in Iowa. I-JOBS, and the continuing gradual increase in funding due to TIME-21, will complement and extend the benefits of Recovery Act funding and set the stage for addressing the shortfall in annual funding in the next few years. Iowa’s transportation system is multi-modal; therefore, the Program encompasses investments in aviation, transit, railroads, trails, and highways. A major component of the Program is the highway section. The FY2010-2014 highway section is financially balanced and was developed to achieve several objectives. The Commission’s primary highway investment objective is stewardship (i.e. safety, maintenance and preservation) of Iowa’s existing highway system. The highway section includes an annual average of $104 million for preserving the interstate system; an annual average of $78 million for non-interstate pavement preservation; an annual average of $36 million for non-interstate bridges; and an annual average of $14 million for safety projects. Another objective is to maintain the scheduled completion of interstate and non-interstate capacity and economic development projects that were identified in the previous Program and this Program does so. The final Commission objective is to further address capacity and economic development needs and the Commission has done so by adding several such projects to the Program. Construction improvements are partially funded through the current federal transportation act, Safe, Accountable, Flexible, Efficient Transportation Equity Act: A Legacy for Users (SAFETEA-LU). The act will expire September 30, 2009. With the expiration of SAFETEA-LU, there is significant uncertainty in the forecast of federal revenues in the out-years of this Program. The Commission and Iowa DOT will monitor federal actions closely and make adjustments to the Program as necessary. The Iowa DOT and Commission appreciate the public’s involvement in the state’s transportation planning process. Comments received personally, by letter, or through participation in the Commission’s regular meetings or public input meetings held around the state each year are invaluable in providing guidance for the future of Iowa’s transportation system. It should be noted that this document is a planning guide. It does not represent a binding commitment or obligation of the Commission or Iowa DOT, and is subject to change. You are invited to visit the Iowa DOT’s Web site at iowadot.gov for additional and regular updates about the department’s programs and activities.

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n the last two decades, interest in species distribution models (SDMs) of plants and animals has grown dramatically. Recent advances in SDMs allow us to potentially forecast anthropogenic effects on patterns of biodiversity at different spatial scales. However, some limitations still preclude the use of SDMs in many theoretical and practical applications. Here, we provide an overview of recent advances in this field, discuss the ecological principles and assumptions underpinning SDMs, and highlight critical limitations and decisions inherent in the construction and evaluation of SDMs. Particular emphasis is given to the use of SDMs for the assessment of climate change impacts and conservation management issues. We suggest new avenues for incorporating species migration, population dynamics, biotic interactions and community ecology into SDMs at multiple spatial scales. Addressing all these issues requires a better integration of SDMs with ecological theory.