Infrastructure Engineering - Research Publications

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Start date: 2006 × End date: 2009 × Author: Winter, Stephan ×

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    International Workshop on Social Space and Geographic Space
    WINTER, STEPHAN ; ROBINS, GARRY (The University of Melbourne, 2007)
    Social agents are embedded in both social structures and in geographical space. The combination of social and geographic space has often been neglected. With few exceptions, social network theory ignores geographic space, and artificial intelligence studies often assume local societies without sophisticated conceptualisations of social networks. Yet the multiple embeddedness of actors in both physical and social space has important implications for understanding social behaviour. In many related research areas, there is a growing recognition that associations between social structure and geographical nearness may affect social systems and social behaviours. Research on the associations between social and geographic space occurs in disconnected scientific communities, including human geography, social network theory, and geographic agent-based simulation. The International Workshop on Social Space and Geographic Space aims to bring the social and the spatial disciplines together, to discover joint foundations in social and geographical theory, and to integrate approaches for modelling spatial context and social behaviour. Seven papers were selected for presentation at the workshop, out of twelve papers submitted. The chairs would like to acknowledge the support from the ARC Research Network on Spatially Enabled Social Sciences. Special thanks go to Lin-Jie Guan for typesetting these proceedings.
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    Considerations for Efficient Communication of Route Directions
    Tomko, Mr Martin ; Winter, Dr Stephan ( 2006)
    We can observe that people familiar with an environment give route directions of varying granularity to other locals. Such route directions are typically shorter than the turn based directions of current navigation services, and contain only references of high relevance to the wayfinder. Studying these route directions of varying granularity reveals that they are intended to be memorized, a property that requires a low cognitive workload of the wayfinder during their usage. The short-term memory span of humans imposes a limit on the amount and the structure of information communicated. We argue that route directions of varying granularity provide the means to respect these limits by efficient recoding.
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    Shared ride trip planning with geosensor networks
    Nittel, S ; Winter, S ; Nural, A ; Cao, T ; Miller, HJ (SPRINGER, 2007)
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    Ad Hoc Solution of the Multicommodity-Flow-Over-Time Problem
    Braun, M ; Winter, S (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2009-12)
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    Landmark hierarchies in context
    Winter, S ; Tomko, M ; Elias, B ; Sester, M (SAGE PUBLICATIONS LTD, 2008-05)
    We are interested in the generation of distinguishing place or route descriptions for urban environments. Such descriptions require a hierarchical model of the discourse, the elements of the city. We postulate that cognitive hierarchies, as used in human communication, can be sufficiently reflected in machine-generated hierarchies. In this paper we (a) propose a computational model for the generation of a hierarchy of one of these elements of the city—landmarks—and (b) demonstrate that a set of filter rules applied on this hierarchy derives distinguishing route descriptions from spatial context.
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    Structural salience of elements of the city
    Claramunt, C ; Winter, S (SAGE PUBLICATIONS LTD, 2007-11)
    People experience and memorize space primarily with the help of landmarks. These landmarks have structural salience, besides visual and semantic salience. When people move in urban space they perceive first the street network as structuring this space. Therefore, streets are a good candidate for investigating structural salience. This paper investigates different structural representations of the urban fabric, and measures to describe the structural salience especially of elements of the street network and dependent elements. The measures are taken from topology and network analysis. The goal is to identify a generic model of structural salience for urban elements that favors the automatic identification of references for route directions. The proposed model is illustrated by a case study applied to a small city in northern France.