Are safety-related features of the road environment associated with smaller declines in physical activity among youth?

This study examined how objective measures of the local road environment related to safety were associated with change in physical activity (including active transport) among youth. Few longitudinal studies have examined the impact of the road environment on physical activity among children/adolescents in their neighborhoods. Participants were children aged 8–9 years (n=170) and adolescents aged 13–15 years (n=276) in 2004. Data were collected in 2004 and 2006 during followup of participants recruited initially in 2001 from 19 primary schools in Melbourne, Australia. Walking/cycling to local destinations was parent-reported for children and self-reported by adolescents. Moderate-to-vigorous physical activity (MVPA) during nonschool hours was recorded using accelerometers. Road environment features in each participant’s neighborhood (area within 800 m radius of their home) were measured objectively using a Geographical Information System. Linear regression analyses examined associations between road features and changes in active transport (AT) and MVPA over 2 years. Children’s AT increased but MVPA levels decreased in both age groups; on average, younger girls recorded the greatest declines. The number of traffic/pedestrian lights was associated with ΔAT among younger girls (B=0.45, p=0.004). The total length of walking tracks (in meters) was associated with ΔAT among younger girls (B=0.0016, p=0.015) and adolescent girls (B=0.0016, p=0.002). For adolescent boys, intersection density was associated with ΔAT (B=0.03, p=0.030). Slow points were associated with ΔMVPA among younger boys before school (B=1.55, p=0.021), while speed humps were associated with ΔMVPA among adolescent boys after school (B=0.23, p=0.015). There were many associations for adolescent girls: for example, the total length of local roads (B=0.49, p=0.005), intersection density (B=0.05, p=0.036), and number of speed humps (B=0.33, p=0.020) were associated with ΔMVPA during nonschool hours. Safety-related aspects of the built environment are conducive to physical activity among youth and may help stem age-related declines in physical activity. Passive road safety interventions may promote AT and physical activity among less active girls, in particular.

Technical features of BIM servers for collaboration on building and construction projects

This paper reviews the technical features and requirements of Building Information Modelling (BIM)-servers as collaboration platforms for multi-disciplinary building and construction projects. Multi-disciplinary collaboration is the norm in the Architecture, Engineering, and Construction (AEC) industries, especially in complex projects. The widespread adoption of object-oriented Computer-aided Design (CAD) tools that support BIM capabilities has generated greater interest in model based exchange of information across disciplines and consultants who have traditionally collaborated through the frequent exchange of 2D drawings and documents. BIM-servers are collaboration platforms that are expected to provide the technical capability to support this inter-disciplinary exchange of 3D models in addition to intelligent management of the related drawings, documents and other forms of data. Since BIM-servers are a recent technical development a review of their technical features can help further development. This paper serves this objective by providing a review of the technical features and requirements for using BIM-servers as multi-disciplinary collaboration platforms on building and construction projects. The methodologies include focus group interviews (FIGs) with representatives from the diverse AEC disciplines, a case study on a state-of-the-art BIM-server, and a critical review and analysis of current collaboration platforms that are available to the AEC industries. This paper concludes that greater emphasis should be placed on supporting technical requirements to facilitate technology management and implementation across disciplines. Their implications for user-centric technology development in design and construction industry are also discussed.

Geological features of Permian ophiolite in the Jiaomuri area, Qiangtang, Tibet, and its tectonic significance

During the regional geological mapping of the 1∶250000 Mayigangri Sheet, a very complete ophiolite was discovered in the Jiaomuri area, which consists of radiolarian chert, pillow basalt, gabbro, diabase and metaperidotite. This ophiolite is the most intact and complete one in the central Qiangtang area.

Mapping landscape features and values in coastal Australia

Places encompass the physical setting, as well as human experience and interpretation. Although sense of place definition nominally includes the physical environment, most research has emphasized the social construction of sense of place and neglect the important contribution of the physical environment to place meanings and attachment. On the other side, theoretical and technological developments during the past decades resulted in significant sophistication and power of analysis, display, and interpretation of spatial information applied in landscape analysis. This development, however, remains disconnected from the socio-political realities of the communities and regions which are the subject of these studies. There is a research need to integrate public perceptions and attitudes with the type of information typically found in a landscape assessment. A challenge of GIS is whether or not Cartesian space can be adapted to incorporate a more humanistic sense and understanding of distance, direction, and position.

On the classification of image features

While the primary purpose of edge detection schemes is to be able to produce an edge map of a given image, the ability to distinguish between different feature types is also of importance. In this paper we examine feature classification based on local energy detection and show that local energy measures are intrinsically capable of making this classification because of the use of odd and even filters. The advantage of feature classification is that it allows for the elimination of certain feature types from the edge map, thus simplifying the task of object recognition.