ORCID Profile
0000-0002-5736-4679
Current Organisation
University of Melbourne
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Geospatial Information Systems | Geomatic Engineering | History and Philosophy Of Specific Fields | History and Philosophy of Engineering and Technology | Library and Information Studies | Aboriginal and Torres Strait Islander History | Information Retrieval and Web Search | Knowledge Representation and Machine Learning | Natural Language Processing
ANZSRC Socio-Economic Objective (SEO)
Electronic Information Storage and Retrieval Services | Expanding Knowledge in the Information and Computing Sciences | Application Tools and System Utilities | Understanding Australia's Past | Conserving Aboriginal and Torres Strait Islander Heritage | Road Passenger Movements (excl. Public Transport) |
Related Links
Publications
The Online What if? Planning Support System
Publisher: Springer Berlin Heidelberg
Date: 2013
Metropolitan Segment Traffic Speeds From Massive Floating Car Data in 10 Cities
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Templates of generic geographic information for answering where-questions
Publisher: Informa UK Limited
Date: 12-01-2022
A Location-Query-Browse Graph for Contextual Recommendation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2018
Indoor localization and navigation independent of sensor based technologies
Publisher: Association for Computing Machinery (ACM)
Date: 13-07-2017
Abstract: In this short article we present concepts of indoor localization and navigation that are independent of sensors embedded in the environment, and thus, standing against the tide of technology-based indoor localization. The motivation for doing so is clear: We seek solutions that are independent of particular environments, and thus globally applicable.
Map-Matching Error Identification in the Absence of Ground Truth
Publisher: MDPI AG
Date: 27-10-2022
DOI: 10.3390/IJGI11110538
Abstract: Map-matching of trajectory data has widespread applications in vehicle tracking, traffic flow analysis, route planning, and intelligent transportation systems. Map-matching algorithms snap a set of trajectory points observed by a satellite navigation system to the most likely route segments of a map. However, due to the unavoidable errors in the recorded trajectory points and the incomplete map data, map-matching algorithms may match points to incorrect segments, leading to map-matching errors. Identification of these map-matching errors in the absence of ground truth can only be achieved by visual inspection and reasoning. Thus, the identification of map-matching errors without ground truth is a time-consuming and mundane task. Although research has focused on improving map-matching algorithms, to our knowledge no attempts have been made to automatically classify and identify the residual map-matching errors. In this work, we propose the first method to automatically identify map-matching errors in the absence of ground truth, i.e., only using the recorded trajectory points and the map-matched route. We have evaluated our method on a public dataset and observed an average accuracy of 91% in automatically identifying map-matching errors, thus helping analysts to significantly reduce manual effort for map-matching quality assurance.
Place Questions and Human-Generated Answers: A Data Analysis Approach
Publisher: Springer International Publishing
Date: 16-04-2019
D-Log: A WiFi Log-based differential scheme for enhanced indoor localization with single RSSI source and infrequent sampling rate
Publisher: Elsevier BV
Date: 06-2017
Landmark hierarchies in context
Publisher: SAGE Publications
Date: 2008
DOI: 10.1068/B33106
Abstract: 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.
Infrastructure-Independent Indoor Localization and Navigation
Publisher: Association for Computing Machinery (ACM)
Date: 18-06-2020
DOI: 10.1145/3321516
Abstract: In the absence of any global positioning infrastructure for indoor environments, research on supporting human indoor localization and navigation trails decades behind research on outdoor localization and navigation. The major barrier to broader progress has been the dependency of indoor positioning on environment-specific infrastructure and resulting tailored technical solutions. Combined with the fragmentation and compartmentalization of indoor environments, this poses significant challenges to widespread adoption of indoor location-based services. This article puts aside all approaches of infrastructure-based support for human indoor localization and navigation and instead reviews technical concepts that are independent of sensors embedded in the environment. The reviewed concepts rely on a mobile computing platform with sensing capability and a human interaction interface (“smartphone”). This platform may or may not carry a stored map of the environment, but does not require in situ internet access. In this regard, the presented approaches are more challenging than any localization and navigation solutions specific to a particular, infrastructure-equipped indoor space, since they are not adapted to local context, and they may lack some of the accuracy achievable with those tailored solutions. However, only these approaches have the potential to be universally applicable.
Detecting Unsigned Physical Road Incidents From Driver-View Images
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2021
RIM: a ray intersection model for the analysis of the between relationship of spatial objects in a 2D plane
Publisher: Informa UK Limited
Date: 07-07-2020
Ripe for the picking? Dataset maturity assessment based on temporal dynamics of feature definitions
Publisher: Informa UK Limited
Date: 21-02-2017
From descriptions to depictions: a conceptual framework
Publisher: Springer International Publishing
Date: 2013
Defensive wayfinding: Incongruent information in route following
Publisher: Springer International Publishing
Date: 2015
A Graph Database Model for Knowledge Extracted from Place Descriptions
Publisher: MDPI AG
Date: 15-06-2018
DOI: 10.3390/IJGI7060221
Harnessing spatio‐temporal patterns in data for nominal attribute imputation
Publisher: Wiley
Date: 31-03-2020
DOI: 10.1111/TGIS.12617
Security attribute aggregation models for e-Research collaborations
Publisher: IEEE
Date: 06-2012
Discovery of topological constraints on spatial object classes using a refined topological model
Publisher: Journal of Spatial Information Science
Date: 27-06-2019
Shopping intent recognition and location prediction from cyber-physical activities via wi-fi logs
Publisher: ACM
Date: 07-11-2018
Understanding indoor behavior: Where, what, with whom?
Publisher: ACM Press
Date: 2019
Analyzing Web behavior in indoor retail spaces
Publisher: Wiley
Date: 28-07-2015
DOI: 10.1002/ASI.23587
Decentralized orchestration of data-centric workflows in Cloud environments
Publisher: Elsevier BV
Date: 09-2013
A new method for improving Wi-Fi-based indoor positioning accuracy
Publisher: Informa UK Limited
Date: 03-07-2014
Finding equivalent keys in openstreetmap
Publisher: ACM
Date: 07-11-2017
Integrating decentralized indoor evacuation with information depositories in the field
Publisher: MDPI AG
Date: 11-07-2017
DOI: 10.3390/IJGI6070213
Abstract: The lonelier evacuees find themselves, the riskier become their wayfinding decisions. This research supports single evacuees in a dynamically changing environment with risk-aware guidance. It deploys the concept of decentralized evacuation, where evacuees are guided by smartphones acquiring environmental knowledge and risk information via exploration and knowledge sharing by peer-to-peer communication. Peer-to-peer communication, however, relies on the chance that people come into communication range with each other. This chance can be low. To bridge between people being not at the same time at the same places, this paper suggests information depositories at strategic locations to improve information sharing. Information depositories collect the knowledge acquired by the smartphones of evacuees passing by, maintain this information, and convey it to other passing-by evacuees. Multi-agent simulation implementing these depositories in an indoor environment shows that integrating depositories improves evacuation performance: It enhances the risk awareness and consequently increases the chance that people survive and reduces their evacuation time. For evacuating dynamic events, deploying depositories at staircases has been shown more effective than deploying them in corridors.
Modeling coordinated multiple views of heterogeneous data cubes for urban visual analytics
Publisher: Informa UK Limited
Date: 08-08-2015
A lightweight authorization mechanism for spatially enabled health data services
Publisher: ACM
Date: 05-11-2013
The design of a flexible web-based analytical platform for urban research
Publisher: ACM
Date: 06-11-2012
Translating the web semantics of georeferences
Publisher: IGI Global
Date: 2006
DOI: 10.4018/978-1-59140-905-2.CH010
Abstract: This chapter presents a review of the ways of georeferencing in Web resources, as opposed to the georeferencing of other information communities, specifically in route directions for wayfinders. The different information needs of the two information communities, reflected by their different semantics of georeferences, are identified. In a case study, we investigate the possibilities of translating the semantics of georeferences in Web resources to landmarks in route directions. We show that interpreting georeferences in Web resources enhances the perceivable properties of described features. Finally, we identify open questions for future research.
Towards an e-Infrastructure for urban research across Australia
Publisher: IEEE
Date: 12-2011
How People Use the Web in Large Indoor Spaces
Publisher: ACM
Date: 03-11-2014
Web and wireless geographical information systems: 14th international symposium, W2GIS 2015 grenoble, France, May 21-22, 2015 proceedings
Publisher: Springer International Publishing
Date: 2015
Designing Adaptable Spatial Cyberinfrastructure for Urban eResearch
Publisher: Springer Netherlands
Date: 27-06-2018
Contextual location imputation for confined wifi trajectories
Publisher: Springer International Publishing
Date: 2018
Identification of Practically Visible Spatial Objects in Natural Environments
Publisher: Springer Berlin Heidelberg
Date: 2009
A data-driven urban research environment for Australia
Publisher: IEEE
Date: 10-2012
Describing the functional spatial structure of urban environments
Publisher: Elsevier BV
Date: 09-2013
Risk mapping for COVID-19 outbreaks in Australia using mobility data.
Publisher: The Royal Society
Date: 2021
Abstract: COVID-19 is highly transmissible and containing outbreaks requires a rapid and effective response. Because infection may be spread by people who are pre-symptomatic or asymptomatic, substantial undetected transmission is likely to occur before clinical cases are diagnosed. Thus, when outbreaks occur there is a need to anticipate which populations and locations are at heightened risk of exposure. In this work, we evaluate the utility of aggregate human mobility data for estimating the geographical distribution of transmission risk. We present a simple procedure for producing spatial transmission risk assessments from near-real-time population mobility data. We validate our estimates against three well-documented COVID-19 outbreaks in Australia. Two of these were well-defined transmission clusters and one was a community transmission scenario. Our results indicate that mobility data can be a good predictor of geographical patterns of exposure risk from transmission centres, particularly in outbreaks involving workplaces or other environments associated with habitual travel patterns. For community transmission scenarios, our results demonstrate that mobility data add the most value to risk predictions when case counts are low and spatially clustered. Our method could assist health systems in the allocation of testing resources, and potentially guide the implementation of geographically targeted restrictions on movement and social interaction.
Beyond digital twins – A commentary
Publisher: SAGE Publications
Date: 11-12-2019
Paths to social licence for tracking-data analytics in university research and services
Publisher: Public Library of Science (PLoS)
Date: 21-05-2021
DOI: 10.1371/JOURNAL.PONE.0251964
Abstract: While tracking-data analytics can be a goldmine for institutions and companies, the inherent privacy concerns also form a legal, ethical and social minefield. We present a study that seeks to understand the extent and circumstances under which tracking-data analytics is undertaken with social licence—that is, with broad community acceptance beyond formal compliance with legal requirements. Taking a University c us environment as a case, we enquire about the social licence for Wi-Fi-based tracking-data analytics. Staff and student participants answered a questionnaire presenting hypothetical scenarios involving Wi-Fi tracking for university research and services. Our results present a Bayesian logistic mixed-effects regression of acceptability judgements as a function of participant ratings on 11 privacy dimensions. Results show widespread acceptance of tracking-data analytics on c us and suggest that trust, in idual benefit, data sensitivity, risk of harm and institutional respect for privacy are the most predictive factors determining this acceptance judgement.
ISA 2013 workshop report: a report on the Fifth International Workshop on Indoor Spatial Awareness
Publisher: Association for Computing Machinery (ACM)
Date: 24-10-2014
Abstract: In our increasingly urbanized world, the World's population spends more and more time indoors. Indoor environments become our new natural habitat, and we conduct more and more activities enclosed by walls, moving vertically rather then horizontally, and without direct access to sunlight. Our daily activities are assisted by a range of sensors and human-machine interfaces that assist our senses and facilitate the transition between indoor and outdoor environments. The combination of the unnatural indoor environments, novel technologies augmenting our interaction, and the ubiquitous connection to the Internet results in an entirely new ecosystem with particular challenges to our spatial abilities, spatial interactions (between humans, machines and the built environment) and spatial needs. The series of ACM Workshops on Indoor Spatial Awareness addresses these challenges and explores the cognitive and semantic challenges, positioning and data processing requirements and technological innovations needed to facilitate the smooth transition to this ecosystem.
Travelers or locals? Identifying meaningful sub-populations from human movement data in the absence of ground truth
Publisher: Springer Science and Business Media LLC
Date: 04-07-2018
There is no way! Ternary qualitative spatial reasoning for error detection in map data
Publisher: Wiley
Date: 11-06-2021
DOI: 10.1111/TGIS.12765
Abstract: Detection and correction of errors in map data based on spatial reasoning may be used to improve their quality. However, the majority of current spatial reasoning approaches are based on binary spatial relations and are not able to perform analyses involving more than two objects. This article proposes building accessibility analysis with the ternary ray intersection model to detect potential map errors. Where buildings are not accessible from the road network, this may indicate potential errors in map data such as roads that are not mapped. The plausibility of the proposed method was tested in a case study on OpenStreetMap data. The results have been published in an online mapping challenge where volunteering mappers have used them to correct errors in map data, and have provided feedback on the analysis. The results show that the proposed method can detect errors in map data that are caused by incorrect classification of buildings, incorrect mapping of multi‐part buildings, and missing road data.
From small sets of GPS trajectories to detailed movement profiles: quantifying personalized trip-dependent movement diversity
Publisher: Informa UK Limited
Date: 09-03-2020
VISUALISATION SUPPORT for EXPLORING URBAN SPACE and PLACE
Publisher: Copernicus GmbH
Date: 13-07-2012
DOI: 10.5194/ISPRSANNALS-I-2-153-2012
Abstract: Abstract. Urban research is fundamentally underpinned by heterogeneous, highly varied data. The availability and quantity of digital data sources is increasing rapidly. In order to facilitate decision-making and support processes related to urban policy and management, such data has to be readily analysed, synthesised and the results readily communicated to support evidence based decision-making. In this paper, we consider the current state of play of visualisation as it supports urban research. In doing so we firstly consider visualisation environments such as geographical information systems (GIS) and Cartography tools, digital globes, virtual simulation environments, building information models and gaming platforms. Secondly, we consider a number of visualisation techniques with a focusing on GIS and Cartography tools including space time cubes, heat maps, choropleth maps, flow maps and brushing. This review of visualisation environments and techniques is undertaken in the context of the Australian Urban Research Infrastructure Network project (www.aurin.org.au). AURIN is tasked with developing a portal and associated e-Infrastructure, which provides seamless access to federated data, modelling and visualisation tools to support the urban researcher community in Australia. We conclude by outlining future research and development opportunities in developing the AURIN visualisation toolkit by reflecting on the value of visualisation as a data exploration and communication tool for researchers and decision-makers to assist with the study and management of the urban fabric.
What can urban mobility data reveal about the spatial distribution of infection in a single city?
Publisher: Springer Science and Business Media LLC
Date: 29-05-2019
Pragmatic Construction of Destination Descriptions for Urban Environments
Publisher: Informa UK Limited
Date: 24-02-2009
Decentralized orchestration of data-centric workflows using the object modeling system
Publisher: IEEE
Date: 05-2012
Progress in computational movement analysis – towards movement data science
Publisher: Informa UK Limited
Date: 23-06-2020
Identification of the initial entity in granular route directions
Publisher: Springer Berlin Heidelberg
Date: 2006
A new World Heritage site for Aboriginal engineering
Publisher: Springer Science and Business Media LLC
Date: 30-07-2019
UniMelb at SemEval-2019 Task 12: Multi-model combination for toponym resolution
Publisher: Association for Computational Linguistics
Date: 2019
DOI: 10.18653/V1/S19-2231
Traffic Count Estimation at Basis Links Without Path Flow and Historic Data
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2023
A critical look at cryptogovernance of the real world: Challenges for spatial representation and uncertainty on the blockchain
Publisher: Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH, Wadern/Saarbruecken, Germany
Date: 2018
Place facets: a systematic literature review
Publisher: Informa UK Limited
Date: 17-11-2020
Can you fixme? An intrinsic classification of contributor-identified spatial data issues using topic models
Publisher: Informa UK Limited
Date: 05-04-2021
Street Network Studies: from Networks to Models and their Representations
Publisher: Springer Science and Business Media LLC
Date: 09-2018
Identifying in-app user actions from mobile web logs
Publisher: Springer International Publishing
Date: 2018
Origin–destination flow estimation from link count data only
Publisher: MDPI AG
Date: 13-09-2020
DOI: 10.3390/S20185226
Abstract: All established models in transportation engineering that estimate the numbers of trips between origins and destinations from vehicle counts use some form of a priori knowledge of the traffic. This paper, in contrast, presents a new origin–destination flow estimation model that uses only vehicle counts observed by traffic count sensors it requires neither historical origin–destination trip data for the estimation nor any assumed distribution of flow. This approach utilises a method of statistical origin–destination flow estimation in computer networks, and transfers the principles to the domain of road traffic by applying transport-geographic constraints in order to keep traffic embedded in physical space. Being purely stochastic, our model overcomes the conceptual weaknesses of the existing models, and additionally estimates travel times of in idual vehicles. The model has been implemented in a real-world road network in the city of Melbourne, Australia. The model was validated with simulated data and real-world observations from two different data sources. The validation results show that all the origin–destination flows were estimated with a good accuracy score using link count data only. Additionally, the estimated travel times by the model were close approximations to the observed travel times in the real world.
Assessing Mapper Conflict in OpenStreetMap Using the Delphi Survey Method
Publisher: ACM
Date: 19-04-2023
A dialog-driven process of generating route directions
Publisher: Elsevier BV
Date: 05-2008
The Cognitive Aspect of Place Properties
Publisher: California Digital Library (CDL)
Date: 2016
Elastic Scaling of e-Infrastructures to Support Data-Intensive Research Collaborations
Publisher: IEEE
Date: 10-2014
User evaluation of automatically generated keywords and toponyms for geo-referenced images
Publisher: Wiley
Date: 18-01-2013
DOI: 10.1002/ASI.22738
Initial Analysis of Simple Where-Questions and Human-Generated Answers (Short Paper)
Publisher: Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH, Wadern/Saarbruecken, Germany
Date: 2019
Understanding the predictability of user demographics from cyber-physical-social behaviours in indoor retail spaces
Publisher: Springer Science and Business Media LLC
Date: 03-01-2018
The acceptability and uptake of smartphone tracking for COVID-19 in Australia
Publisher: Public Library of Science (PLoS)
Date: 22-01-2021
DOI: 10.1371/JOURNAL.PONE.0244827
Abstract: In response to the COVID-19 pandemic, many Governments are instituting mobile tracking technologies to perform rapid contact tracing. However, these technologies are only effective if the public is willing to use them, implying that their perceived public health benefits must outweigh personal concerns over privacy and security. The Australian federal government recently launched the ‘COVIDSafe’ app, designed to anonymously register nearby contacts. If a contact later identifies as infected with COVID-19, health department officials can rapidly followup with their registered contacts to stop the virus’ spread. The current study assessed attitudes towards three tracking technologies (telecommunication network tracking, a government app, and Apple and Google’s Bluetooth exposure notification system) in two representative s les of the Australian public prior to the launch of COVIDSafe. We compared these attitudes to usage of the COVIDSafe app after its launch in a further two representative s les of the Australian public. Using Bayesian methods, we find widespread acceptance for all tracking technologies, however, observe a large intention-behaviour gap between people’s stated attitudes and actual uptake of the COVIDSafe app. We consider the policy implications of these results for Australia and the world at large.
Collaborative activity-based ridesharing
Publisher: Elsevier BV
Date: 10-2018
Experiential hierarchies of streets
Publisher: Elsevier BV
Date: 2008
Venice, City of Canals:Characterizing Regions through Content Classification
Publisher: Wiley
Date: 06-2009
Recursive construction of granular route directions
Publisher: Informa UK Limited
Date: 06-2006
The Australia urban research gateway
Publisher: Wiley
Date: 23-04-2015
DOI: 10.1002/CPE.3282
A new approach for indoor customer tracking based on a single Wi-Fi connection
Publisher: IEEE
Date: 10-2014
Producer Conflict Management Approaches in Online Peer Production Communities – Case Study of OpenStreetMap
Publisher: ACM
Date: 19-04-2023
Related Organisations
Related Funding Activities
Walking The City: Digital Infrastructure For Pedestrian Mobility
Start Date: 2021
End Date: 2024
Funder: Australian Research Council
View Funded ActivityMaking Human Place Knowledge Digestible By Computers
Start Date: 2017
End Date: 2019
Funder: Australian Research Council
View Funded ActivityIndigenous Engineering: Interpreting Engineering Foundations Of Budj Bim
Start Date: 2021
End Date: 2024
Funder: Australian Research Council
View Funded ActivitySelf-healing Maps: Protecting Maps Through Automatic Updating Processes
Start Date: 2017
End Date: 2020
Funder: Australian Research Council
View Funded ActivityTRIIBE TRacking Indoor Information BEhaviour
Start Date: 2013
End Date: 2016
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP120200413
Start Date: 06-2013
End Date: 05-2016
Amount: $225,000.00
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP170100153
Start Date: 2017
End Date: 06-2020
Amount: $410,500.00
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP170100109
Start Date: 2017
End Date: 12-2019
Amount: $399,500.00
Funder: Australian Research Council
View Funded ActivitySpecial Research Initiatives - Grant ID: SR200200227
Start Date: 03-2021
End Date: 12-2024
Amount: $277,000.00
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP210101156
Start Date: 03-2021
End Date: 03-2024
Amount: $347,000.00
Funder: Australian Research Council
View Funded Activity