2 resultados para Space stations

em Deakin Research Online - Australia


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Train stations are places of connection in our cities and are the gateways of urban space. They represent one of the most exciting places to experience. Some stations make great destinations offering shops, restaurants, museums and exhibition spaces to commuters. While new architecture at railway stations acknowledges heritage, the urban spaces around them provide excellent public areas and rationalise functional needs. Grand spaces with monumental structures, including constant movement of people and trains makes for an exhilarating experience. Modern or historic, great train stations add another level of excitement in the regeneration of our cities. Adding into the mix of the sustainability paradigm, place making of railway stations transforms into sustainable urban centres and signature architecture, but how does it support an environmentally sustainable future? This paper reflects the journey of exploring the challenging situations of balancing the requirements between historic, operational, functional, economic and innovative sustainable design solutions during the Flinders Street Station Design Competition in Melbourne. The author highlights how the unique spatial, social and cultural circumstance of this world-renowned city railway station possesses specific resilient and sustainable design answers to a public realm and city space that challenges established thinking.

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In this paper, we study two tightly coupled issues, space-crossing community detection and its influence on data forwarding in mobile social networks (MSNs). We propose a communication framework containing the hybrid underlying network with access point (AP) support for data forwarding and the base stations for managing most of control traffic. The concept of physical proximity community can be extended to be one across the geographical space, because APs can facilitate the communication among long-distance nodes. Space-crossing communities are obtained by merging some pairs of physical proximity communities. Based on the space-crossing community, we define two cases of node local activity and use them as the input of inner product similarity measurement. We design a novel data forwarding algorithm Social Attraction and Infrastructure Support (SAIS), which applies similarity attraction to route to neighbor more similar to destination, and infrastructure support phase to route the message to other APs within common connected components. We evaluate our SAIS algorithm on real-life datasets from MIT Reality Mining and University of Illinois Movement (UIM). Results show that space-crossing community plays a positive role in data forwarding in MSNs. Based on this new type of community, SAIS achieves a better performance than existing popular social community-based data forwarding algorithms in practice, including Simbet, Bubble Rap and Nguyen's Routing algorithms.