A5013729707- Air Quality Monitoring and Forecasting
- Air Quality and Health Impacts
- Coral and Marine Ecosystems Studies
- Species Distribution and Climate Change
- Land Use and Ecosystem Services
- Atmospheric chemistry and aerosols
- COVID-19 impact on air quality
- Vehicle emissions and performance
- Marine and fisheries research
- Animal Vocal Communication and Behavior
- Smart Cities and Technologies
- Maritime Transport Emissions and Efficiency
- Economic Theory and Institutions
- IoT and Edge/Fog Computing
- Human Mobility and Location-Based Analysis
- Privacy, Security, and Data Protection
- Water Quality Monitoring Technologies
- Housing Market and Economics
- Urban Stormwater Management Solutions
- Urban Planning and Valuation
- Data Visualization and Analytics
- Technology Use by Older Adults
- Marine animal studies overview
- Mobile Crowdsensing and Crowdsourcing
- Innovative Human-Technology Interaction
Queensland University of Technology
2018-2024
In the digital era of big data, data analytics and smart cities, a new generation planning support systems is emerging. The Rapid Analytics Interactive Scenario Explorer novel system developed to help planners policy-makers determine likely land value uplift associated with provision city infrastructure. toolkit was following user-centred research approach including iterative design, prototyping evaluation. Tool development informed by user inputs obtained through series co-design workshops...
Aesthetic value, or beauty, is important to the relationship between humans and natural environments is, therefore, a fundamental socio-economic attribute of conservation alongside other ecosystem services. However, beauty difficult quantify not estimated well using traditional approaches monitoring coral-reef aesthetics. To improve estimation aesthetic values, we developed implemented novel framework used features aesthetics based on people's perceptions beauty. Three observer groups with...
Shipping emissions are known to affect communities in coastal locations, especially near harbours. This study monitored the air quality premier cruise ship terminal Melbourne over a continuous period of 98 days during peak season Australia. As shipping emission plumes intermittent and fluctuate spatially, they cannot be detected accurately by single fixed monitor. To overcome this limitation, we deployed seven units low-cost KOALA monitor, which measures PM2.5 CO concentrations real time...
Big data analytics in smart cities has given rise to the new interdisciplinary field of urban science, which uses mining, visual analytics, modeling, and simulation create novel planning support systems. One such system is RAISE (the Rapid Analytics Interactive Scenario Explorer) assists planners local government authorities with rapid analysis visualization land value uplift from proposed transport infrastructure. This paper's contribution twofold. We first introduce co-design as a method...
Summary Crowdsourcing methods facilitate the production of scientific information by non‐experts. This form citizen science (CS) is becoming a key source complementary data in many fields to inform data‐driven decisions and study challenging problems. However, concerns about validity these often constrain their utility. In this paper, we focus on use addressing complex challenges environmental conservation. We consider issue from three perspectives. First, present literature scan papers that...
Low-cost sensors are becoming an important component of air quality monitoring. They used in various outdoor areas beyond the protective enclosure monitoring stations. Therefore, they exposed to a wide range environmental conditions. In this study, we investigated operation status and performance monitor consisting low-cost for measuring PM2.5 CO under extreme pollutant concentrations. Over deployment periods three haze episodes Beijing, China, two bushfire Blue Mountains, Australia,...
Every day, and in myriad ways, users of digital media are required to navigate negotiate the sharing their personal location data. Devices, apps, platforms require make privacy choices order perform mundane activities such as plotting a course destination mapping app, ordering food via delivery checking local forecast weather catching public transport, or using ride-hailing service. Recognising uniquely sensitive datapoint geoprivacy an emergent highly charged form informational privacy,...
Numerous organisations collect data in the Great Barrier Reef (GBR), but they are rarely analysed together due to different program objectives, methods, and quality. We developed a weighted spatiotemporal Bayesian model used it integrate image based hard coral collected by professional citizen scientists, who captured or classified underwater images. predict cover across GBR with estimates of uncertainty; thus filling gaps space time where no exist. Additional increased models predictive...
Crowdsourcing methods facilitate the production of scientific information by non-experts. This form citizen science (CS) is becoming a key source complementary data in many fields to inform data-driven decisions and study challenging problems. However, concerns about validity these often constrain their utility. In this paper, we focus on use addressing complex challenges environmental conservation. We consider issue from three perspectives. First, present literature scan papers that have...