41 resultados para Mature destinations


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All over the world stations are changing to become new urban centres and destinations. Some flagship projects, like Atocha in Madrid or Grand Central in Manhattan, make great destinations with shops, restaurants, museums and exhibition spaces. The urban spaces around them have been redesigned to provide excellent public areas and rationalise functional needs. Suburban stations also have the potential to follow the same trend. After all, stations are places of high symbolic value, they are central to the life of many people and include all sections of society, while generating high footfall and stimulating the economy. For this reason, Station Master Planning must focus on 'place' as well as 'product' to respond to the multiple opportunities. Considering the need that designs of stations need to be sustainable and preserve and value the public spaces, this paper reflects on the case study of the station master plan of the Tottenham Hale Station in London where SKM Colin Buchanan applied opportunistic urban design principles and created a new, significant urban square for north London and a local destination for leisure and investment. The design methodology are transferred to the local context of Melbourne where the unique spatial circumstances of suburban stations along the New Regional Rail Link line are reviewed, highlighting how these stations possesses specific opportunistic and sustainable urban design answers.

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Associations between access to local destinations and children’s independent mobility (IM) were examined. In 2007, 10- to 12-year-olds (n = 1,480) and their parents (n = 1,314) completed a survey. Children marked on a map the destinations they walked or cycled to (n = 1,132), and the availability of local destinations was assessed using Geographic Information Systems. More independently mobile children traveled to local destinations than other children. The odds of IM more than halved in both boys and girls whose parents reported living on a busy road (boys, OR = 0.48; girls, OR = 0.36) and in boys who lived near shopping centers (OR = 0.18) or community services (OR = 0.25). Conversely, the odds of IM more than doubled in girls living in neighborhoods with well-connected low-traffic streets (OR = 2.32) and increased in boys with access to local recreational (OR = 1.67) and retail (OR = 1.42) destinations. Creating safe and accessible places and routes may facilitate children’s IM, partly by shaping parent’s and children’s feelings of safety while enhancing their confidence in the child’s ability to use active modes without an adult.

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Children and adolescents mature at different rates such that individuals competing in the same competition may differ in physical and biological maturity despite being of similar chronological age. Whether or not differences translate into on-field performance in competition is relatively unknown. This study investigated the influence of biological maturity on fitness and match running performance in junior Australian football. Eighty-seven under-15 years players were categorised into early (n = 20), average (n = 45) and late (n = 22) maturity groups based on self-reported and anthropometric assessment of biological maturity. Running movements during competition were collected using GPS (5 Hz) technology. Early maturers were heavier and taller than all other boys (P < 0.05), while biological maturity was significantly correlated to 20 m sprint (r = 0.53, P < 0.01). Total distance, high-intensity (>14.4 km · h−1) running distance and number of high-intensity efforts were significantly greater (20.8%, 53.6%, 31.7%, respectively; P < 0.01) in early compared to late maturers. Number of sprints and peak speed in competition were not different. Pubertal development and maturity status partially explained the differences between players in physical size, functional running fitness and match running performance. Late maturing players in this Australian football under-15 age group were at a physical and performance disadvantage to their earlier maturing peers.

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Walking is a suitable activity for older adults and has physical and mental health benefits. To devise interventions that impact on levels of walking it is necessary to first understand the purposes for which people walk and the destinations to which they walk. Using a 7-day diary and accelerometry, this study investigated destinations and purposes of walking in older adult residents of an ultra-dense Asian city. Participants reported an average of 17.1 walking trips per week and total weekly accelerometer/diary determined trip walking time averaged 735 minutes per week, much higher than reported for older adults in non-Asian settings. The most common destinations were within the neighborhood: parks and streets for recreation walking and shops and eating places for transport-related walking. Errands and eating were the most common purposes for transportation trips. The study results can help inform urban design to encourage walking.

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Background: Local destinations have previously been shown to be associated with higher levels of both physical activity and walking, but little is known about how specific destinations are related to activity. This study examined associations between types and mix of destinations and both walking frequency and physical activity. Method: The sample consisted of 2349 residents of 50 urban areas in metropolitan Melbourne, Australia. Using geographic information systems, seven types of destinations were examined within three network buffers (400 meters (m), 800 m and 1200 m) of respondents' homes. Multilevel logistic regression was used to estimate effects of each destination type separately, as well as destination mix (variety) on: 1) likelihood of walking for at least 10 min ≥ 4/week; 2) likelihood of being sufficiently physically active. All models were adjusted for potential confounders. Results: All destination types were positively associated with walking frequency, and physical activity sufficiency at 1200 m. For the 800 m buffer: all destinations except transport stops and sports facilities were significantly associated with physical activity, while all except sports facilities were associated with walking frequency; at 400 m, café/takeaway food stores and transport stops were associated with walking frequency and physical activity sufficiency, and sports facilities were also associated with walking frequency. Strongest associations for both outcomes were observed for community resources and small food stores at both 800 m and 1200 m. For all buffer distances: greater mix was associated with greater walking frequency. Inclusion of walking in physical activity models led to attenuation of associations. Conclusions: The results of this analysis indicate that there is an association between destinations and both walking frequency and physical activity sufficiency, and that this relationship varies by destination type. It is also clear that greater mix of destinations positively predicts walking frequency and physical activity sufficiency.

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In order to tackle unemployment for the at-risk group of mature-age workers displaced by industry sector restructuring, exemplary place-based initiatives are needed focusing on a selected area of high disadvantage identified by Professor Tony Vinson’s 2015 Jesuit Social Services report Dropping off the Edge, with an Australian state government committed to supporting the initiative, as that report recommends. In order to make such a place-based initiative exemplary in its outcomes, so that it leads to uptake in other areas of high disadvantage, it needs to be thoroughly informed by successful Nordic precedents. In particular, the new Australian place-based initiative needs to be informed by Danish regionally-focused large-scale job skills programs involving transition into a proximate sector of employment growth; and by Norwegian measures for more even population distribution outside capital cities or in particular hard-hit regions within capital cities. An advantage of the proposed initiative is that it will also produce measurable results for children in families in which neither parent works, whose needs are normally tackled (if at all) by separate policy actions in separate tiers or departments of government. Australian children are disproportionately disadvantaged by the internationally extreme concentration of joblessness. Denmark’s Løntilskud and Virksomhedspraktik job training programs subsidised by municipalities and the national government, and supported by Danish trade unions, will be discussed in this paper for the positive effects they have for participants, including establishing or re-establishing unemployed people’s structured work habits and routines, improving their networks along with their social skills, and boosting their confidence. This paper will outline in detail the types of features the proposed new Australian place-based initiative will require, drawing on and drilling down further into data and analysis presented in the author’s recent book: Northern Lights: The Positive Policy Example of Sweden, Finland, Denmark and Norway.

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OBJECTIVES: Little is known about how the distribution of destinations in the local neighbourhood is related to body mass index (BMI). Kernel density estimation (KDE) is a spatial analysis technique that accounts for the location of features relative to each other. Using KDE, this study investigated whether individuals living near destinations (shops and service facilities) that are more intensely distributed rather than dispersed, have lower BMIs.

STUDY DESIGN AND SETTING: A cross-sectional study of 2349 residents of 50 urban areas in metropolitan Melbourne, Australia.

METHODS: Destinations were geocoded, and kernel density estimates of destination intensity were created using kernels of 400, 800 and 1200 m. Using multilevel linear regression, the association between destination intensity (classified in quintiles Q1(least)-Q5(most)) and BMI was estimated in models that adjusted for the following confounders: age, sex, country of birth, education, dominant household occupation, household type, disability/injury and area disadvantage. Separate models included a physical activity variable.

RESULTS: For kernels of 800 and 1200 m, there was an inverse relationship between BMI and more intensely distributed destinations (compared to areas with least destination intensity). Effects were significant at 1200 m: Q4, β -0.86, 95% CI -1.58 to -0.13, p=0.022; Q5, β -1.03 95% CI -1.65 to -0.41, p=0.001. Inclusion of physical activity in the models attenuated effects, although effects remained marginally significant for Q5 at 1200 m: β -0.77 95% CI -1.52, -0.02, p=0.045.

CONCLUSIONS: This study conducted within urban Melbourne, Australia, found that participants living in areas of greater destination intensity within 1200 m of home had lower BMIs. Effects were partly explained by physical activity. The results suggest that increasing the intensity of destination distribution could reduce BMI levels by encouraging higher levels of physical activity.