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Published byAlberta Estella Ellis Modified over 9 years ago
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1 Developing a methodology for network simulation E*Space Conference Naples and Benevento June 2005 Colin Arrowsmith 1, Bob Itami 2 and Silvester (Sungchan) Kim 1 1 Department of Geospatial Science, RMIT University 2 GeoDimensions Pty. Ltd.
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2 Methodology objectives to understand spatial behaviour of mobile objects along networks to develop typical itineraries for various types of mobile objects to model mobile objects along networks given differing environmental conditions
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3 Rationale predicted increases in traffic flow along networks physical constraints results in loss of amenity and threats to safety need to test management options under differing scenarios
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4 Methodology develop inventory of network survey design - detection, observation and recording of mobile objects developing typical itineraries for dynamic objects spatial analyses of movements identification of types of dynamic objects modelling movements
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5 Develop inventory base spatial information acts as datum for analyses and modelling
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6 Survey design – attributes required position duration sequence or “itinerary” flow speed and orientation type of object
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7 Survey techniques questionnaire and interviewing video monitoring detectors and sensors tracking mechanisms including GPS
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8 Itinerary determination identify network sequences classify network sequences statistical probability analyses
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9 Spatial analyses extract topological linkages apply segmentation for analyses –duration –velocity –diurnal patterns
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10 Classification of types classification of object types using –cluster or –data mining techniques –direct observation
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11 Simulating movements and behaviour agent-modelling –autonomous agents –linked to GIS –agent-rules –wayfinding
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12 Case study 1 – Loch Ard Gorge objective –to identify typical spatial behaviour patterns at a popular tourist attraction rationale –increased visitation to tourist sites with constrained physical parameters
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13 Develop inventory for Loch Ard Gorge
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14 Attractions 26 point attractions –lookouts –river –car parks
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21 Survey design GPS survey questionnaire survey
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22 The GPS receivers used
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23 GPS survey attributes AttributeUnits point_idinteger survey_idinteger EastingAMG66 metres NorthingAMG66 metres Datedd/mm/yyyy Timehour:min:sec Altitudemetres Leg_lengthmetres Leg_timeseconds Leg_speedkmph BearingWhole degrees
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26 Topological linkages 4 (3) 19 (7) 18 (7) 16 (6) 17 (6) 12 (4) 15 (5)10 (4) 11 (3) 8 (2) 7 (4) 6 (4) 5 (3) 3 (2) 2 (1) 1 (0) 9 (3) 14 (6) 13 (5) A D D C B G F E I H 7 (4)Node number (associated number) Labelled sequence node
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28 Describing spatial-temporal data development of regions to assist in describing movement patterns
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31 Nodes visited Number of sequence nodes visited Number of participants Average duration (mins) 1365.67 22138.14 34054.20 41767.94 51087.00 68128.00 71111 81105 91212 Average = 3.4810265.12
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32 Visitor typologies
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33 Simulation modelling RBSim3 is a computer model maintains a database of visitor experiences through a simulation itinerary can be built for an agent agent movement is modified by the changing conditions of a network
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34 RBSim Simulator
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35 Case study 2 – River Traffic Study objectives rationale
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36 Objectives to determine the capacity of the Yarra and Maribyrnong rivers to meet growing demands identify management systems and infrastructure to control boat traffic in a safe and sustainable manner develop a management strategy to control river traffic
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37 Rationale broad range of users and vessels with different patterns of use knowledge of impacts of different watercraft on environmental and social conditions is uncertain volumes of traffic predicted to increase substantially capacity of river has not been defined
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38 Inventory development river depth bank conditions land and water facilities adjacent land use
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39 Inventory development
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40 Survey design interviews with user groups new river counts published schedules GPS tracking
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41 GPS Tracking
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42 Topological linkages A K L B M C B1F G D E I J H
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43 Patterns of movement
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44 Boat types rowing boats commercial craft government vessels motor charter tug boats motor private ship non-motor sail sail under motor non-motor oar non-motor paddle
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57 Conclusions developed a consistent methodology that can be applied to model mobile objects along different networks under different management scenarios
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