The goal of this research was to examine the potential predictive ability of socioeconomic and demographic data for drivers on Kentucky crash occurrence. Identifying unique background characteristics of at-fault drivers that contribute to crash rates and crash severity may lead to improved and more specific interventions to reduce the negative impacts of motor vehicle crashes. The driver-residence zip code was used as a spatial unit to connect five years of Kentucky crash data with socioeconomic factors from the U.S. Census, such as income, employment, education, age, and others, along with terrain and vehicle age. At-fault driver crash counts, normalized over the driving population, were used as the dependent variable in a multivariate linear regression to model socioeconomic variables and their relationship with motor vehicle crashes. The final model consisted of nine socioeconomic and demographic variables and resulted in a R-square of 0.279, which indicates linear correlation but a lack of strong predicting power. The model resulted in both positive and negative correlations of socioeconomic variables with crash rates. Positive associations were found with the terrain index (a composite measure of road curviness), travel time, high school graduation and vehicle age. Negative associations were found with younger drivers, unemployment, college education, and terrain difference, which considers the terrain index at the driver residence and crash location. Further research seems to be warranted to fully understand the role that socioeconomic and demographic characteristics play in driving behavior and crash risk.

ABSTRACT This study was designed to characterize the choices, preferences and motivations of fruit and vegetable gardeners in Vermont, and to determine whether socio-demographic characteristics affect some of these choices, preferences and motivations. Using a survey of Vermont Extension Master Gardeners (EMGs), data were gathered over a 3-year period (2011-2013). The findings show most EMGs (>90%) garden in private home gardens, and the most popular vegetables grown were tomatoes, herbs, and salad greens. Beans, cucumbers and peppers sere also popular and among fruits, blueberries, apples, raspberries and strawberries were grown by over 40% of EMGs. Approximately 10% of EMG gardeners who had vegetable/herb gardens did not grow any fruit or berries, and EMGs who did not garden at all (10%) cited lack of gardening space and time as their main constraints. Vermont EMGs are concentrated around urban centers, however, their distribution is approximately proportional to the general population across the state. By age, over 40% are in their 50s, and in over 60% of households, females are make most of the gardening decisions and do most of the gardening work. Over 70% of the Vermont EMGs are college-educated, and live in households with incomes above $50,000. The most important motivations for gardening were ‘Having a Taste of Homegrown Fresh’ produce (ratings above 4.5/5) and ‘Fun/Relaxation/Hobby.’ Gardeners considered ‘Food Safety’ and ‘Environmental Concerns’ as important, while ‘Saving Money’ was not rated as highly as a motivation. EMGs prefer local plants and products and prefer to buy at local garden centers/supply stores. Over 70% rely on ‘Books,’ the ‘Internet,’ ‘Extension,’ ‘Friends’ and ‘Print Articles’ for gardening information, while videos and television are relied on by less than 10% of EMGs. In all regression models estimated, demographic characteristics (age, education, gender of the gardening decision-maker, and annual household income) were found to have limited explanatory power (R2 ≤ 0.1) on EMGs’ decision to garden, or the choice/motivation for where to purchase plants and gardening supplies. This finding suggests that Vermont EMGs may be an environmentally significant group whose motivations, preferences and choices might be better explained by their attitudinal and value norms rather than socio-demographic characteristics. This finding suggest that future research and educational programs should be designed and delivered according to these characteristics rather than the commonly used demographic ones.

Vehicle ownership and utilization have a profound influence on activity-travel patterns of individuals, vehicle emissions, fuel consumption, highway capacity, congestion and traffic safety. The influence could be further skewed by the diversity of the vehicle fleet. This thesis presents a detailed analysis of the 2001 National Household Travel Survey data to understand the vehicle ownership patterns, fleet mix, allocation and utilization in the context of household and person socio-demographic characteristics. Along with a rich descriptive analysis, models of vehicle ownership and utilization are estimated to distinguish four vehicle types; cars, SUVs (sport utility vehicles), vans and pickup trucks based on their ownership by households and utilization patterns by household members. The primary driver level vehicle utilization analysis provides insights into the extent of allocation of a vehicle to a single person. In addition to confirming many perceptions about the ownership, acquisition and utilization patterns of different types of vehicles, this analysis brings out some subtle differences and similarities among the vehicle types. The analysis results indicate a greater propensity to acquire and use larger vehicles such as minivans, sports utility vehicles and pickup trucks among certain socio-demographic segments of population. Increased ownership and use of vans and SUVs, and their usage as personal vehicles rather than just work vehicles warrants a need to revise vehicle type specific policies, transportation planning and control measures.

Previous research has suggested that the country of origin cue is important to consumers during their purchase decision making process; the cue is utilised as an indicator of product quality and thus has an effect on purchase decisions. However, country of origin research has been heavily criticised in terms of methodology and has tended to focus on durable, manufactured products such as automobiles, electronics and apparel. This research investigates whether consumers do utilise the country of origin cue during actual wine purchase decisions and whether consumer perceptions of wine will vary based upon the country from which it originates. In addition, this study also seeks to identify all of the product attributes which are utilised by wine purchasers, and the degree to which these attributes are important to them during the purchase decision process. Finally, the research seeks to understand the influence that individual consumer characteristics (i.e. demographic variables, product knowledge and product involvement) and usage situations will have upon attribute utilisation and importance. In order to examine these broad research questions, a structured survey was developed and administered to respondents in four countries immediately following an actual wine purchase. Analysis of the collected survey data revealed that consumers typically utilised only a small number of attributes during their purchase decisions, and that the attributes which were most frequently utilised were not necessarily the most important to wine consumers. The country of origin cue was the eighth most frequently utilised attribute and the fourth in terms of importance. The majority of consumers could accurately identify the country of origin of the wine they had just purchased and their perceptions of wines were found to vary based upon the country of origin. Individual consumer characteristics were found to have varying effects upon attribute utilisation and importance ratings. Three-quarters of all wine purchases were made to resolve just four usage situations, and these situations were found to moderate the origin of the wine that the consumer selected during their purchase decision. From a theoretical standpoint, this study supports the idea that consumers utilise only a small number of attributes during their decision making process, and that this number will increase as product knowledge and product involvement levels increase. The most important attributes for consumers were found to be intrinsic in nature. Country of origin theory has also been advanced by this study; consumers were found to hold stereotyped perceptions of wine based upon its national origin, and both the nationality and education level of the consumer were found to moderate the utilisation of the country of origin cue. Whilst earlier researchers had suggested that any home country bias may be product specific, this study suggests that it may actually be a product dimension specific phenomenon. The high reliability of the product involvement and subjective knowledge scales should also be of value to future consumer behaviour researchers. Similarly, the idea that the usage situation influenced which product was purchased, but not how it was selected, expands current knowledge. Practical implications arising from this study include the identification of the importance of having previously tried a wine; marketers could increase sales through the provision of wine tasting opportunities for consumers. The significant correlation between involvement and the frequency of wine consumption also provides wine producers with an opportunity to increase sales through initiatives which will increase consumer involvement with wine. The results indicate that the wine industry should focus on the production and marketing of wines which are suitable for consumption in the identified four dominant usage situations and should seek to increase consumption in dining situations in the US. Finally, promotional strategies linking New Zealand wines with high quality appear to have been successful, but these messages will need to be repeated in order to reinforce the positive consumer perceptions.

The main purpose of the present study was to examine the effects of entrepreneurial team demographics, environmental scanning and networking on innovativeness. For this purpose, small and medium enterprises in Bursa region were chosen. A total of 74 general managers/owners filled out the questionnaire. Information about company, team members and firms&rsquo / environmental scanning, innovativeness and networking activities was collected. As hypothesized, findings supported the view that entrepreneurial team demographics (age heterogeneity and average educational level), environmental scanning and networking (networking with customers, competitors and particularly with public agencies) play a significant role in innovativeness of SMEs after controlling the significant effect of team size. The results were discussed together with the implications of the findings for managers and on the policies of government, public organizations and educational institutions, strengths and limitations of the study. Some suggestions for future research were made.

The number of elderly is increasing; to meet their transportation needs, it is important to clearly understand their travel patterns and preferences. Since travel patterns and preferences depend on socio-demographic and other factors, it is essential to identify these factors first to understand the travel behavior of the elderly. The main purpose of this thesis is to analyze the travel patterns and preferences of the elderly age 65 and above using 2009 National Household Travel Survey (NHTS) data. This thesis presents a detailed descriptive analysis of 2009 NHTS data to understand the travel patterns of the elderly. Along with a descriptive analysis, a multinomial logit model and a mixed- multinomial logit model are estimated to explore the factors associated with the overall travel preferences of the elderly and to identify individuals among the elderly who are the least mobile and at risk for social isolation. The analysis results indicate the differences in the trip characteristics between the elderly and non-elderly. Variation is found even among the different groups of the elderly. The model estimation results show the presence of different travel preferences among the elderly and identify those individuals among the elderly who are immobile for longer periods (e.g., a week) and at risk for social isolation. Elderly individuals with different travel preferences should be considered separately in research to determine the appropriate outcomes that can help transportation planners and policy makers improve planning and policy related to elderly individuals.

Bakgrunn: Levealderen for personer med Downs syndrom har økt dramatisk på 1900 tallet i hele den vestlige verden. Imidlertid er det få undersøkelser om levealderfor denne populasjonen på 2000-tallet, og vi har ikke funnet noen norske undersøkelser. Hensikt:Undersøkelsen skal gi innsikt i levealdersutvikling i Norge fra 1969 og frem til 2010 og fremtidig forekomst av voksne og eldre med Downs syndrom frem til 2050. Metode:Det er en kvantitativ nasjonal demografisk registerundersøkelse for å beregne levealdersutviklingen for personer med Downs syndrom (n = 2 593). Registerdataene som er samlet inn er kontinuerlige data som er basert på løpende tellinger i den nasjonale fødsels-og dødelighetsstatistikken. Innsamlede data er personer registrert med diagnosekode Downs syndrom, årfødt, år død, alder ved død og kjønn. Hovedresultat:Gjennomsnittlig alder ved død for personer med Downs syndrom fra 1969 til og med 2009 økte fra 16,57 år til 53,40 år. Det var ingen statistisk signifikant forskjell på alder ved død mellom menn og kvinner. Gjennomsnittlig alder ved død for alle som døde etter fylte 40 år i studieperioden økte fra 53,95 år til 58,35 år. Forventet andel personer med Downs syndrom som vil bli 40 år og eldre vil øke fra 52 % for de som blefødt i 1967 til 94 % for de som ble født i 2009. Konklusjon:Levealderen for personer med Downs syndrom har økt betydelig fra 60-tallet og detteskyldes i hovedsak nedgang i spedbarnsdødeligheten. For de som overlever barneårene viser undersøkelsen imidlertid nesten ingen økning i rest levealder i løpet av undersøkelsesperioden. Frem til 2050 kan vi forvente en fordobling av antallet som vil være over 40 år / Background: Life expectancy for people with Down syndrome increased dramatically in the Western worldduringthe 1900s. However, fewsurveys have investigated life expectancy for this population since 2000,none of themNorwegian. Aim: This study aimedt o provide insight into life expectancy for Norwegians with Down syndrome between 1969 and2 010, and to project future rates for adults with Down syndrome until 2050. Method: This quantitative national demographic registry study estimated the development of life expectancy for people with Down syndrome (n = 2,593). To calculate age at death, we collected data from death certificates reported to Statistics Norway.Together with data from Medical Birth Registry,we simulated life tables.Collected data included persons with the diagnosis code for Down syndrome, birth year, year of death, age at death,and sex. Main results:Between 1969 and 2010, mean age at death of persons with Down syndrome increased from 16.57 years to 53.40 years, respectively. We observed no statistically significant difference in age at death between men and women. Average age at death for persons who died after 40 years of age increased from 53.95 years to 58.35 years duringthe study period. We estimated that the percentage of people with Down syndrome older than 40 years of age will increase, from 52% to 94% for those born in 1967 and 2009, respectively. Conclusion:Life expectancy for people with Down syndrome has increased significantly since the 1960s, mainly due to a relative decrease in newborn and infant mortality. Importantly, such individuals who survive childhood showed almost no increase in remaining life expectancy during the study period. By 2050,we expect the number of people with Down syndrome aged 40 or more years to double / <p>ISBN 978-91-86739-73-0</p>

Over the last 30 years there has been a paradigmatic shift in the field of disabilities towards assessing individual support needs in relation to social and environmental context rather than individual deficits. The capacity of existing assessment instruments to assess support needs is limited because most were designed to assess individual deficits and thereby determine eligibility for funding and/or services. Some instruments have been designed to assess support needs but there are several problems associated with these instruments including, suitability for use in only one disability type, susceptibility to rater bias, and failure to account for variations in support needs over time. This thesis attempted to contribute to addressing these deficiencies by examining the characteristics that are most predictive of support needs for people with psychiatric and intellectual disabilities and the methods by which changes in such support needs could be predicted. Two studies were used to address these aims. The first considered samples of people with primary psychiatric disabilities (N= 561) and intellectual disabilities (N =168), who lived in Supported Residential Facilities. These participants were assessed in regards not only to standard demographic and disability characteristics, and also personal characteristics, including functional abilities, and support needs. The data were analysed using ordinal logistic regression to determine which better predicted support needs and, accordingly, which characteristics were most important to include in the assessment of support needs. Analysis showed that personal characteristics, such as functional abilities such as showering/bathing and budgeting explained much more variance in support needs than either demographics or disability characteristics. This suggests that, for support needs assessments to be accurately assessed, they should include evaluations of these personal characteristics even though they may require more time and resources to obtain than demographic and disability data. The second study in this thesis aimed to investigate whether caregivers could predict changes in support needs over six-month periods accurately. Residents in supported accommodation with a primary psychiatric disability (N = 60; although some attrition among those with psychiatric disabilities), or primary intellectual disability (N = 57) and their caregivers were involved in this study. Caregivers were interviewed on three occasions at six-monthly intervals and asked to estimate any changes that they expected to occur in the next six months or that they believed had occurred in the preceding six months. Caregivers were also asked to complete two functional assessments for each resident at the three points in time. The functional assessments were used as the benchmark against which the accuracy of caregivers’ estimates was examined. Analysis found that caregivers were unable to predict accurately prospective changes in overall or specific support needs, nor were they able to report accurately such changes retrospectively. The results of this thesis contribute to the body of knowledge in the relatively new area of support needs assessment in terms of possible predictors of support needs and the assessment of changes in support needs. Recommendations for further research include; investigating some of the personal characteristics found to be predictors of support needs in greater detail and among other disability types, replication of these findings in other samples, and investigating ways to improve caregivers’ capacity to predict changes in support needs accurately. / Thesis (Ph.D.) -- University of Adelaide, School of Psychology, 2008

Over the last 30 years there has been a paradigmatic shift in the field of disabilities towards assessing individual support needs in relation to social and environmental context rather than individual deficits. The capacity of existing assessment instruments to assess support needs is limited because most were designed to assess individual deficits and thereby determine eligibility for funding and/or services. Some instruments have been designed to assess support needs but there are several problems associated with these instruments including, suitability for use in only one disability type, susceptibility to rater bias, and failure to account for variations in support needs over time. This thesis attempted to contribute to addressing these deficiencies by examining the characteristics that are most predictive of support needs for people with psychiatric and intellectual disabilities and the methods by which changes in such support needs could be predicted. Two studies were used to address these aims. The first considered samples of people with primary psychiatric disabilities (N= 561) and intellectual disabilities (N =168), who lived in Supported Residential Facilities. These participants were assessed in regards not only to standard demographic and disability characteristics, and also personal characteristics, including functional abilities, and support needs. The data were analysed using ordinal logistic regression to determine which better predicted support needs and, accordingly, which characteristics were most important to include in the assessment of support needs. Analysis showed that personal characteristics, such as functional abilities such as showering/bathing and budgeting explained much more variance in support needs than either demographics or disability characteristics. This suggests that, for support needs assessments to be accurately assessed, they should include evaluations of these personal characteristics even though they may require more time and resources to obtain than demographic and disability data. The second study in this thesis aimed to investigate whether caregivers could predict changes in support needs over six-month periods accurately. Residents in supported accommodation with a primary psychiatric disability (N = 60; although some attrition among those with psychiatric disabilities), or primary intellectual disability (N = 57) and their caregivers were involved in this study. Caregivers were interviewed on three occasions at six-monthly intervals and asked to estimate any changes that they expected to occur in the next six months or that they believed had occurred in the preceding six months. Caregivers were also asked to complete two functional assessments for each resident at the three points in time. The functional assessments were used as the benchmark against which the accuracy of caregivers’ estimates was examined. Analysis found that caregivers were unable to predict accurately prospective changes in overall or specific support needs, nor were they able to report accurately such changes retrospectively. The results of this thesis contribute to the body of knowledge in the relatively new area of support needs assessment in terms of possible predictors of support needs and the assessment of changes in support needs. Recommendations for further research include; investigating some of the personal characteristics found to be predictors of support needs in greater detail and among other disability types, replication of these findings in other samples, and investigating ways to improve caregivers’ capacity to predict changes in support needs accurately. / Thesis (Ph.D.) -- University of Adelaide, School of Psychology, 2008

Early this century "S-shaped" curves, sigmoids, gained popularity among demographers. However, by 1940, the approach had "fallen out of favour", being criticised for giving poor results and having no theoretical validity. It was also considered that models of total population were of little practical interest, the main forecasting procedure currently adopted being the bottom-up "cohort-component" method. In the light of poor forecasting performance from component methods, a re-assessment is given in this thesis of the use of simple trend models. A suitable means of fitting these models to census data is developed, using a non-linear least squares algorithm based on minimisation of a proportionately weighted residual sum of squares. It is demonstrated that useful models can be obtained from which, by using a top-down methodology, component populations and vital components can be derived. When these models are recast in a recursive parameterisation, it is shown that forecasts can be obtained which, it is argued, are superior to existing official projections. Regarding theoretical validity, it is argued that sigmoid models relate closely to Malthusian theory and give a mathematical statement of the demographic transition. In order to judge the suitability of extrapolating from sigmoid models, a framework using Catastrophe Theory is developed. It is found that such a framework allows one qualitatively to model population changes resulting from subtle changes in influencing variables. The use of Catastrophe Theory has advantages over conventional demographic models as it allows a more holistic approach to population modelling.